task
stringclasses 14
values | smiles
stringclasses 929
values | cid
int64 4.09k
1.99M
| answer
stringlengths 5
24.8k
| molecular_weight
float64 102
600
| logp
float64 -6.97
13.1
| messages
listlengths 2
2
|
|---|---|---|---|---|---|---|
Synthetic_Accessibility
|
CC(=NNC(=O)c1ccc(Br)o1)c1ccncc1
| 872,059 |
{'sa_score': 8.65, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
| 308.135 | 2.5911 |
[
{
"content": "Provide information about Synthetic_Accessibility for the molecule with SMILES 'CC(=NNC(=O)c1ccc(Br)o1)c1ccncc1'.",
"role": "user"
},
{
"content": "{'sa_score': 8.65, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}",
"role": "assistant"
}
] |
Molecule_Visualization
|
N#CCCCCCC(=O)O
| 79,713 |
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</base64_image>
| 141.17 | 1.54508 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'N#CCCCCCC(=O)O'.",
"role": "user"
},
{
"content": 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"role": "assistant"
}
] |
Molecule_Visualization
|
Fc1ncc(Cl)cn1
| 583,264 |
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</base64_image>
| 132.525 | 1.2691 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES 'Fc1ncc(Cl)cn1'.",
"role": "user"
},
{
"content": "<base64_image>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</base64_image>",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
Cc1ccc(S(=O)(=O)c2nc(-c3ccc(Cl)cc3Cl)oc2N(C)C)cc1
| 969,453 |
411.31
| 411.31 | 4.85562 |
[
{
"content": "Provide the molecular weight for 'Cc1ccc(S(=O)(=O)c2nc(-c3ccc(Cl)cc3Cl)oc2N(C)C)cc1'.",
"role": "user"
},
{
"content": "411.31",
"role": "assistant"
}
] |
Reactivity_Prediction
|
CCC=CC(=O)OCCC
| 143,862 |
{"charges": {"C": [{"atom_idx": 0, "charge": -0.062}, {"atom_idx": 2, "charge": -0.078}, {"atom_idx": 4, "charge": 0.33}, {"atom_idx": 7, "charge": 0.091}, {"atom_idx": 9, "charge": -0.062}], "O": [{"atom_idx": 5, "charge": -0.247}, {"atom_idx": 6, "charge": -0.463}]}, "dipole": 1.42, "steric_hindrance": 1.0}
| 142.198 | 1.9058 |
[
{
"content": "Determine the reactivity prediction of the chemical structure 'CCC=CC(=O)OCCC'.",
"role": "user"
},
{
"content": "{\"charges\": {\"C\": [{\"atom_idx\": 0, \"charge\": -0.062}, {\"atom_idx\": 2, \"charge\": -0.078}, {\"atom_idx\": 4, \"charge\": 0.33}, {\"atom_idx\": 7, \"charge\": 0.091}, {\"atom_idx\": 9, \"charge\": -0.062}], \"O\": [{\"atom_idx\": 5, \"charge\": -0.247}, {\"atom_idx\": 6, \"charge\": -0.463}]}, \"dipole\": 1.42, \"steric_hindrance\": 1.0}",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
N#Cc1ccc[nH]c1=O
| 577,543 |
{"chiral_centers": 0, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 0, "chiral_center_details": [], "stereogenic_double_bonds": 0, "max_stereoisomers": 1, "potentially_meso": false, "stereochemistry_complexity": "None"}
| 120.111 | 0.24658 |
[
{
"content": "What is the stereochemistry analysis for the compound represented by 'N#Cc1ccc[nH]c1=O'?",
"role": "user"
},
{
"content": "{\"chiral_centers\": 0, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 0, \"chiral_center_details\": [], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 1, \"potentially_meso\": false, \"stereochemistry_complexity\": \"None\"}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCCC1=NC(C)(C)CO1
| 293,662 |
141.21
| 141.214 | 1.9938 |
[
{
"content": "Provide the molecular weight for 'CCCC1=NC(C)(C)CO1'.",
"role": "user"
},
{
"content": "141.21",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
COc1cccc(NC(=O)Cc2ccc(F)cc2)c1
| 798,578 |
2-(4-fluorophenyl)-N-(3-methoxyphenyl)acetamide
| 259.28 | 3.0155 |
[
{
"content": "Give the IUPAC-compliant name for the molecule 'COc1cccc(NC(=O)Cc2ccc(F)cc2)c1'.",
"role": "user"
},
{
"content": "2-(4-fluorophenyl)-N-(3-methoxyphenyl)acetamide",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
CCOc1ccccc1-n1c(SCC(=O)Nc2ccccc2Cl)nnc1-c1cccs1
| 1,155,262 |
N-(2-chlorophenyl)-2-[[4-(2-ethoxyphenyl)-5-thiophen-2-yl-1,2,4-triazol-3-yl]sulfanyl]acetamide
| 471.007 | 5.7787 |
[
{
"content": "Provide the systematic IUPAC name for the compound 'CCOc1ccccc1-n1c(SCC(=O)Nc2ccccc2Cl)nnc1-c1cccs1'.",
"role": "user"
},
{
"content": "N-(2-chlorophenyl)-2-[[4-(2-ethoxyphenyl)-5-thiophen-2-yl-1,2,4-triazol-3-yl]sulfanyl]acetamide",
"role": "assistant"
}
] |
Functional_Group_Identification
|
CCOC(=O)C1=C(C)N=c2sc(=Cc3ccc(OC)c(OC)c3OC)c(=O)n2C1c1ccc(N(C)C)cc1
| 986,851 |
{"ester": 1, "ether": 4, "amine": 1, "sulfide": 2, "phenyl": 2}
| 537.638 | 2.8901 |
[
{
"content": "What is the functional group identification for the compound represented by 'CCOC(=O)C1=C(C)N=c2sc(=Cc3ccc(OC)c(OC)c3OC)c(=O)n2C1c1ccc(N(C)C)cc1'?",
"role": "user"
},
{
"content": "{\"ester\": 1, \"ether\": 4, \"amine\": 1, \"sulfide\": 2, \"phenyl\": 2}",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
CC(C)(C)[N+]([O-])=Cc1ccncc1
| 153,055 |
N-tert-butyl-1-pyridin-4-ylmethanimine oxide
| 178.235 | 1.8093 |
[
{
"content": "What is the correct IUPAC systematic name for 'CC(C)(C)[N+]([O-])=Cc1ccncc1'?",
"role": "user"
},
{
"content": "N-tert-butyl-1-pyridin-4-ylmethanimine oxide",
"role": "assistant"
}
] |
Molecule_Visualization
|
OC(CCN1CC2CCC(CC2)C1)(Cc1ccccc1)c1ccccc1
| 262,129 |
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</base64_image>
| 349.518 | 4.629 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES 'OC(CCN1CC2CCC(CC2)C1)(Cc1ccccc1)c1ccccc1'.",
"role": "user"
},
{
"content": 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MEAoNFoZs2aVVZWNn78+Ndee82cTQWAxYsXi0Sibdu2VVdXA4Cnp+e0adM0Gs2mTZs6eOau3BMikUi0fft2vD/E/3ZJrfWEzBrUDm38c2NRtvr6+sWLF8+dOxcPLl++/LfffvPy8kpISGhtqZHpDB48eOzYsTdv3sTbMQBYvHgxAGzevFmlUnXkzJbVE5ou3vhvxlc06Xr0/lHwb7KT9oQcx82bNy8nJyckJOTTTz/Fg3v37sUabTt27MAxJ/PD1OF0LgAYPXr00KFDS0pK+K0HjGToTWQ7h5WN0PGHhK25ceMGAPTq1UvY01oUnE3CL+zCyVwW/qQUBxjz8vL0jn/88ccA0LNnT34eTFZWFk5YY7tiRq1W42Ixvo7rF198AQCPPfZYR05rcAjbM6xsHEEeErbo5MmTABAcHCz4mS0HboF248YNfPnwww8DwOnTp9m2qg38wiu9B30nTpyws7MTiUS7d+/GIw0NDVirYsqUKcwHe1evXg0A06ZNw5e3bt3Cpa1paWlGn9PgEOKwcgejrysvj0tL47TaOw8JCwu5jAyhTs9xHLdjxw4QaDTZMuFQQffu3fmfUZxXWF5ezrZhbbh69SoA+Pr66h4sLS3F7nH58uX8QdznUHfCGkOlpaX29vYSiYTvwP/9738DwIIFC4w+p8H3hILfbKxeDcHBEB9/54bw88/h9vaSwugUoxQdofdAorKysqqqysnJiS+pbIGa3xBi4aaioqJRo0bhijYASEhI2LRpk4ODw86dO/GKlC13d/fp06c3NTVt3rwZjyxZskQsFn/77be4C4gRDA6hKUZleveGZcsgPf0GmHLQ1cJHKTri8uXLoPMHtLGx2bJly3vvvce0UffQ/Adp1apVBw4c6NOnz/fff4/F169cuYLd4Lp16/Cm1xLg8MymTZsaGhoAYNCgQePHj6+rq/vmm2+MO6GRPaGwUQkPB39/2LVrBAj6kJDX5XvCnTt3AsD169fxpZOT07x5815++WWmjboHvR+kzz77bPXq1WKxeNu2bXhFeuvWrcjIyNra2lmzZvHr1CzBo48+GhwcXFZWtmvXLjyCsVy/fr1WqzXihBbRE4pEEBcHV6+OAhhNPaER1Go1AFy+fPnixYus29Jeuj9IFRUVb731Fsdx48aNe/LJJ/ENixYtSk9Pf+CBB/gLP8uBSwrXr1+PLydPnuzr65uVlYVFaAxlZAgFj0pICDg4nAH41tPTjz944QJ0fJ9CrVZbUFAgEolM0cdaiH//+98SiaS+vv6JJ544duwY6+a0i+4PkouLC36PhIeH469yHDd06FBXV9cffvihjeLZrMyZM6dXr14nTpzAksFisRgvm/lYGsagYZzWhpU7Yv58btYs7tYtDUATAPfee6rXXuPGjOFu3OAAOFtbLjiYi4nh4uM549ZCXLt2DQA8PDyEarBlunDhApafs7Gx0d2HzGLhFjH8MogpU6YAwIQJE3TfU1lZyaJp7fLqq68CwPz58/FlWVmZg4ODWCw2Yo2/YSFscVi5gzCEe/f+DCASiRa7uHDz53NjxnBnz3IBAZxIxAHc+Z+PDzdrFrdmDXfyJNfOqnO//vorAIwaNUrANlsm3X3IIiIidPchY06lUuk+L7l586ZIJHJwcOC/LEpLSx0cHCQSSWdZd5aVlSUWix0dHfk/F5Y/b3+NMp5hITxw4AAIXWoKQ/j1119LJBIHB8dHH+Xs7Tl+C5Pqai4piYuN5SIiuF697gqkbieZnd3q+XHMatasWQK22ZLt27cPH9x7eXmdOHGCdXO4kpISuVzu7e0dHR3NH8R714CAAN134jx7M6yUF8pTTz0FAJ988gm+/OOPPwDAzc2N3xyynQwLIU7SmTdvnkG/q20YQt6FC5yNDdfaPkLZ2Vx8PBcTwwUHc2LxXZn09OQiIrjYWC4piauru/NbVq1aBQArVqwQsM0Wjt+HjG1l5JSUlJkzZ+LDBgAYNmwYXwF17969zS8+jx8/DgC9e/c29IeYFfxT3HfffXx/jtUMDN13wLAQ4vqR1atXG/S72rZ/P7dnz11Hdu7k2lMYpaaGO3aMk8u5iAiud++7AmljwwUGclIpFx/PPfPMPwBg06ZNArbZ8qnVaplMhj/906ZNM+dck/r6+vj4+Iceegg/XSwWR0REJCUl6c44W7JkCehM/uINHz4cdGpVWbimpibcZvPnn3/GI7g13bBhwww6j2EhxHL/27ZtM+h3tUdCAvf119ztmY/G4DvJ0FDO1lY3k2MBYOTIJOwkraoY4o8//ojz1/z9/c+fP2/qj8vMzJTJZHgxDAB9+/aVyWTNi/CfOXMGWzVx4kS9X9qyZQuYpnKKiXz00UcAMGnSJHzZ0NCAe5Dt3bu3/ScxLIQ4/vbbb78Z9LvaY/hwDoAT6hamtpY7doyLi+OiojiJBJ9MZOl2ktHRnELBXbzIsZ4PbHJXr17FLfUcHBxMdDmAO59HRETwq/hx5/PmV5WpqanR0dH8UsDmJZ7r6upwqp0lTz3XVV5e3q1bt6effpp/XjB58mQwsPC5YSHUG1YWkJsbB8AJvgkvv2n7d981YidpZ3fXhauLCxcezsXGcomJXFfdZ62+vl56ezKusJWRKysr4+Li+IfGDg4O0dHRZ8+e1XtbbW3thg0b+L26bG1tfX19N27c2OI5cTU9X0fc8unNkscSzLa2tu3/ezYghDisrFvPSyg1NRwA5+gofL+Em7Z7e3vzR27e5I4e5T74gJsyhevb965ASiTcuHHPLVy4MD4+PkPYdRwWID4+Hp96BwYGGroZYHOpqalSqZTfIH7QoEFyubz5oo2rV6/qXqB6eHjIZLKCgoI2ztx86L8TKS8vx1nmBu3+bUAIcViZr+cloAsXOABu8GDBT3zvTduLirjERE4m40JDOR8fte40Bmdn5/Dw8NjY2MTERIt65ma09PR0LB/o5OSUkJBgxBkaGhqUSiVuewi3dz5XKpV6Gz+1eIEaHx/fzh3FJk2aBAAfffSRES1kSKvV4jbg/v7+BtXFNiCE+/btaz6sLIjERA6Aa3aXLoAvv/wSAF544YX2vLmurvHYsWMff/xxZGQk7uzHE4vFQ4YMWbBgwVdffXXp0iXmS0uNVlNTg9XywcDKyIWFhbGxsXxdiZ49e8bExDSfHXLjxg25XM7PEMQL1HPnzhnUyJ9//hkABg4caMmbujWHy1Z69epl6HwDA0KI+zC+9NJLhjWtHdau5QC4hQsFP/Hf25obt2l7UVFRYmKiTCYLDQ3Fsv88Jyen0NBQmUyWmJjI75LXifCVkYcPH972NCvs06KiovjRFBx0aX7Do3eBev/998vlcuOuILRaLW5JYorNTkzk6NGjOPpg6F5GnEEhxDtmuVxu6Ge048wcAGeCEwu2abtarU5NTY2Li4uOjsYrOl1+fn7R0dFxcXGpqamWP2kTpaam4jMuNzc3/jGXnvXr1+PGHtin/eMf/zh16pTee/ACFecG8BeoiYmJHbxYwDIzzZ9hWKaSkhK8dDJuJ20DQhgZGQkAO3fuNOJj7nVmDoAzwYn/3rQ9JSVF2NNev349MTExNjY2PDyc/+5HPXr0CA0NjYmJUSqVpaWlwn6usLCsIACIRKKYmJjmN2y4V2T//v1jY2Ob/1mysrJkMpneBapQMz8rKyu7desmEomuXLkiyAlNh98YY+zYscZdPxsQQnwKeeDAASM+pm2PPnoLgLu9F6qQPD09wcSbtqvV6osXLyoUCuwk9Spee3p6RkVFxcXFHTt2zAK3ptFqtVhHEIev9B4+ZWRkJCYm6vXtrV2g1unOFRQCbl346quvCntawa1YsQIA+vbta/SjOwNCiD9egu8KynGcm5ubq2uvkhKBRyDr6+txa2Vz3t8XFxdjJxkREaFXE6V79+58J3mjI5ODhJaSkoJXU+7u7m1s8FBVVaVQKLAYNgDY29tHRUXx21YL7uzZs9jBCr4Dn4D2798vFoslEklSUpLRJ2lvCFUqFU5lsLOz68jnNVdTUwMAjo6Ogg85Mt+0Xa1Wp6Wlff7553PnzuVvrnguLi4+Pj4ffvghq+bpKi0txSXtEomk+XLEtLQ0qVSKu0HgPbBcLjfDiBTuuGixW6AXFBTg1fgHH3zQkfMY0BNmZGTgDngikUgmkwnVvZw/fx4AAgMDBTmbLty0PTw8XPAzG6eqqiopKQk7SSxWiUy90Ww76S5HHD9+fElJSWNjo1Kp5Fe7t/ZU0HSw4PzDDz9sno8ziEqlCg0NBYBJkyZ1cDTOsGlrWq1WLpfjzcC4ceOKi4s78tloz549oDMFVkAbNmyAjhWENB2NRqNUKnEa4MiRI1k3545ffvkFv93d3Nz4QRdXV9elS5dmZWWZuTGNjY34vW+6i16jYblRLy+vjl8RGLM/YXJysoeHB46bdXwy95o1awBg0aJFHTxPc7hp+3vvvSf4mYWSlJQkEol69OhhCWVtedeuXRs6dCj+EwcFBSkUCoZ3ZTjsobtDqCXYs2cPDjcI8u1gTAg5jissLHzsscdAiIom//nPf8A0c5SioqIA4LvvvhP8zAIKCwsDgHXr1rFuyF3i4uIAIDIyknVDuIKCAhsbGzs7uxLBZ/cbKzMzE4fc1q5dK8gJjdmVCfvA5OTk2NhYrVa7atWqZ555prKy0rhTmW4nJhyYsfByo3ob/VgIrI71yCOPsG4IeHl5TZ48WaVS4QxE5hoaGmbOnFldXR0VFSVYZdcOhnjv3r04R97b2/ukUU/6goKCAKD5VIwOampqwmcq/P7Glqn5Rj+WwHQTM4xw6NAhAOjXr18753+b1Pz580HojTE6GkKO4/Lz83Eo2biKJjhOKODkkurqaoVCgRNZJBKJ5c8j09voxxLgNyO/0RpzuBbRFM+oDfLdd98BgIODw5kzZwQ8rQAh5DiuoaEhJiYGu9Y5c+bU1ta28zdqtdrNmzdj9eWOO3/+vFQq5WvF2tjYvPHGG4Kc2aSab/TDnODfjB20du1aaFbmT61Wm7Mk1MWLF/FHa8uWLcKeWZgQol27duENa0BAQHsuAtVq9eHDhxUKRXx8fEd+/lQqFT7O4qeMhYaGfvPNN4JvY2o6s2fPBgAL+cqoqqoCgO7du7NuyB01NTXOzs4A8Oeff/IHcdtJV1fX4ODgqKgomUymUCgSExNTU1MF32e2trYWJ+6bYpxWyBByHHflypUHH3wQABwdHdue6JCRkREQEIDTnR988EE7OzsjBkiLi4vlcrmXlxdmz9nZWSqVXrx4sQN/AjZ+//13AHB3d7eEan84X2zIkCGsG3KXhQsXAsCSJUv4I3v37sUFWc1JJBJvb+8xY8a88MILsbGxW7duTUlJyc/PN3qaQXR0NP6dCB5vTvAQchxXX1/P76HTWkUTjUYzePDgkSNH8nXO9+/fv2PHjvZ/CpYM4mtaBgQExMXFtf8y2ALhZrTbt29n3RAOd2CfPHky64bc5dKlSyKRyMnJqbq6Wvd4RUVFamqqUqmUy+VSqTQ8PNzPz8/GxqbFcNra2vr5+YWGhvI9Z1JSUnZ2dtsDB7jDRI8ePdLT003xRxM+hCg+Ph6nGgYFBWVmZur9KlbyNuJBZ21trUKhwPJh+IXXvKZlJ4V7D1lCuf7PPvsMAF5++WXWDdH3+OOPA8D69evv+U6VSpWdnX348OEvv/zyzTffnDNnTmhoaL9+/fTWuPAcHBwGDx48ceLERYsW6d3FnDt3Dgf5TFHpE5kqhBzHnT17FmctOzs7K5VK3V96//33DZ2xbUTJoM6lrq4O/3SpqalsW4KPvz777DO2zWhOqVQCgJeXV2Ji4sWLF424MmxsbMzOzk5KSlIoFDKZLDo6GntOPpx6d8KVlZW49Fn3MlhwJgwhx3E1NTUzZszAP55uRZPXXntNtwJaGzpYMqhz0dvohxWsnLl79262zWguJyfHyckJJ9wiflQmJiZGLpcrlcrU1FQjJtnV1tb++eefiYmJ8fHx/EGtVjtt2jQACAkJMekgn2lDiPiKJiEhIbjy+h1/+yUAAAp6SURBVL333rtnT4glg/RqWhpaMqhzsZBqf0OGDAGA5uVD2VKpVFhEY9CgQU899VRAQIBe4R+eSCTq37//Y489Fh0dvXLlyi1bthw5ciQnJ8fQ/fywurarq6sRu50ZxBwh5Dju9OnTuCerm5vb/v379+/fD61XWW6xpmXXKDp4T3ob/TDh5OQEAJa2N+Arr7wCzVYtNB+VCQwM1Cs4okvveQaOyrQ4ZPr777/b2tqKRKIff/zR1H80M4WQ47jy8vKJEyfiF9WyZcv8/PzGjRvH10RoamoqKSlpXtOy4yWDOpfmG/2YWWlpKf6wMvn01vCrFtqzakej0eTl5SUnJ3/99ddvvfXW888/P3r06AEDBuBSyebs7e39/f2ffPLJf/3rXx988MH69es//PBDHF81YrNBI5gvhNzdFU2GDx/u4eHh4eExffr0iIgIZ2dn/gtM2JJBnUvzjX7M7NSpUwAQFBTE5NNbxK9aWLNmTUfOg0OmSUlJ8fHxus8zWguni4uLeYYezBpCdPToUay/5O7u/txzz/n7+/ODLiNGjOhcM11MQW+jHzPbuXMnWMYiJlRfXz9s2DAAmDp1qomuierq6i5durRv377PP/986dKlw4YN69atm5eXl7ATRNvAIIQcx12/fh2f+fTo0QNulwwyxWZPnVFFRQVW+7t69ar5P10ulwPA0qVLzf/RLcKyi8KuWrA0LU8sMDVPT89Dhw5t2LDBycmpvLx83rx5WEWKAICrq+uMGTO2bt26adMmrIFrTqZb3mmEHTt2bN682cHBQalU6pWu61JYfwuQFpw5cwYAXF1dTTFTsW0TJkwAy6g/n5GRgeO0FlttTShGrqwnJhUUFDRixIjKysqEhAQzf7SF9IS3bt2KjIysra2dPXs2rqPtwiiEFgrLXuAmPGbDcVx+fj4A8NsqsbJw4cL09PQhQ4bglNoujnVXTFrW0NCA87NOCLWHeDsUFRUBQJ8+fcz2iS3CWpWmW7VgaagntFD29va4GQOuozGP3NxcAMC5TaycP38e9//auHEjX3K/a6MQWq6FCxdKJBLcuMI8n8j8hhA3iqqvr1+8ePHcuXNZNcPMKISWy9vbOyIiQqVSbdmyxTyfyLYn5Dhu/vz5OTk5Dz30kPmfzTBEIbRoODzzxRdfaDQaM3wchpBVT/jpp5/u3r27Z8+eu3fvbmMSdtdDIbRo4eHhAQEB165d27dvnxk+Di9HmfSEJ0+efOONN0Qi0VdffYWzZ60HhdCiiUQiqVQKALj9iKmxuhwtKyt79tlnVSrVsmXLcB2tVRFxllR9nTR37do1b29vAOjdu/fUqVMDAwN9fHx8fX19fHx091fruKamJkdHR41GU1dX19p6WVPQarWTJk06cODAqFGjUlJS+OJd1oNC2Ak89dRTWBpLj4ODQ79+/fzudv/992OJTkPl5eX5+vr279+/sLCww002wKpVq95+++0+ffqcOXOmf//+5vxoC8FmAjcxyI8//njw4MEzZ864urrm5ubm5ubm5eXl5ubevHkzJycnJydH7/3u7u7YVer+18fHx97evo1PYXJDmJycvHr1arFYvG3bNutMIFAIOwVHR8epU6dOnTpV73hlZWVOTs7169eLi4tzbrty5UpZWVlZWRkuz9Xl6uqq1216enr6+fnhUKT5bwhLSkpmz57d1NS0atUq3KzbOtHlaBdUXFys22Hm5eXl5eUVFBSo1ermb7axsRkwYICPj09VVdW5c+emTp363//+18fHp1+/fq0tOReERqMJCws7duxYWFjYwYMHcftn60QhtCLYc+rJz89vamrCN7i4uFRXV+P/t7W19fLywt5S987Tx8dHkHAuW7bsk08+GTBgwJkzZ9zd3Tt+ws6LQmjtVCpVQUFBbm7uokWLsrKywsLC6uvrc3NzS0pKWnx/t27dmt9w+vr6GjRUu2/fvilTpkgkkuTkZNzy2ZpRCMnfvLy8CgsLc3NzccZMY2NjUVGRbp+JN59YgKv5b29xqHbQoEHNV8Tn5OQ88sgjf/311yeffIJzta0chZAAAKhUKkdHR7FYXF9f39puKqimpoa/1cy9LS8vr7a2tsX3u7u78x2mh4dHTU3NRx99VFdX9/TTT+/du7e1zSGsCoWQAABkZmb6+/v7+vo2f+DRTq0N1d68ebP5m21tbbOzs/k97awcPaIgAEIsYsLi1rjBmy68gsVu88SJEydOnHB0dFy3bh0lkEchJACmfEjo6enp6enJF1YnzdEEbgJgAct5rRmFkACwXs5r5SiEBID1cl4rRyEkAEyX8xJ6REGgvr6+e/fudnZ2dXV1Jp0vSlpEf+MEcBLMwIEDKYFM0F86oRtCxug5IYFBpaWrxo71eeQR1g2xUtQTEgi4dOmto0ef796ddUOsFIWQAOTlAQDQ0CgjFEICkJsLQCFkhkJIboeQBmYYoeeEVq+mBlxcoHt3qK0FWt3HAvWEVo/vBimBjFAIrR7dELJGIbR6FELWKIRWD59P0KgMOxRCq0c9IWsUQqtHzydYo0cUVs/ZGWprobISevZk3RQrRT2hdSsvh9pacHGhBDJEqyism0QCcjloNKzbYdUohFbs8mW4cAEGDoQHHrjr+KFDMHQo9Olz58jZs+DgAIMHm7mBVoLuCa1SdTXMnQsHDsADD4BYDBcvwujRkJAAvXsDAIhEsGsXREbeef+kSdC/P2zezKq9XRvdE1qlBQsgPR3On4ezZyEtDdLTobAQ5sxh3SwrRSG0Prm58MMPIJffuby87z74v/+DgwfhwgWmLbNSdE9off74AzgOxo+/62B4OEgkcPIkDB0KAHDjBmRn3/nVujqzttDKUAitT0UF2NtDr153HbS1hd694a+//n75yiugu391YyPcf7/5Wmhl6HLU+jg7Q2Mj6G0n2NQEFRXg7Pz3yx07oK7uzv8mTDB/M60HhdD6PPwwAMCpU3cdTEsDtRqGDWPSIitHIbQ+Q4bAY4/BypVQU/P3kVu34PXXISgIRo5k2jIrRfeEVik+HiZMgAcfhKeeArEYkpJAo4H//Y8W1zNBD+utVUMD/PADnD0LHAdDh0JUFPB1Rz/7DKZMgUGD7rz5xx+hRw944gkmLe3yKISEMEb3hIQwRiEkhDEKISGMUQgJYYxCSAhjFEJCGKMQEsIYhZAQxiiEhDBGISSEMQohIYxRCAlhjEJICGMUQkIYoxASwhiFkBDGKISEMEYhJIQxCiEhjFEICWGMQkgIYxRCQhijEBLCGIWQEMYohIQwRiEkhDEKISGMUQgJYYxCSAhjFEJCGKMQEsIYhZAQxiiEhDBGISSEMQohIYxRCAlhjEJICGMUQkIYoxASwhiFkBDGKISEMEYhJIQxCiEhjFEICWGMQkgIYxRCQhijEBLCGIWQEMYohIQwRiEkhDEKISGMUQgJYYxCSAhjFEJCGKMQEsIYhZAQxiiEhDBGISSEMQohIYxRCAlhjEJICGMUQkIYoxASwhiFkBDGKISEMEYhJIQxCiEhjFEICWGMQkgIYxRCQhijEBLCGIWQEMYohIQwRiEkhDEKISGMUQgJYYxCSAhjFEJCGPt/RYPfaveg5tcAAAHselRYdHJka2l0UEtMIHJka2l0IDIwMjUuMDMuMwAAeJx7v2/tPQYgEABiJgYIkAJiWSBuYORgSADSjIxsDApAmoUNzGVigtHsYGFmVGFmRnRl+MWRaAcNkDoWNocMEA3UQBSDDE3cDIwMjEwMTMxAjQwsrAysbAxs7AzsHAwcnAycXAxc3AycPAyMvAy8fAx8/BlM/AIJAoIZTIJCCULCGUyMIgwiohlMomIJYuIZTOISCRKSGUw8LAzCfAmSIgncbAxOrEBb2Ng5OLm42dj4BQSFhPnYRMXEJSRF2FlZeDg52NnANFBW3IkRGLwMsHCf+6reXtgz6gCI88tlhv0R2W/7Qewle2fskzx3F8yu356w//f1TftA7Cd5vQcKmu7agdgrb006ENefBVbzWXrKgUuiM8HsW6v9D3y/JAtms7Y4HzgnGm8PYst9aT/w+dJjMFvVasuBOctmgtn8frsOSJpPBpvP+LT3wMOX08Dmr4vRdthuxg5225aGVIf/ntlgM4tjFzms+tILZpfl73cIsFlrC2InPFnjcP/1brCZ/X1VDl3WV8DsziwHh+wzb8FmLpmywb5l6T2wXfHXDBzWi4uAxU3+2ThEfL8AVv/T+KH9pvlKDiB2Xf4BO17h32Dx5Yl2dqurPoHViwEA13WJLVJ+QTkAAAJtelRYdE1PTCByZGtpdCAyMDI1LjAzLjMAAHicfVVbjtswDPzPKXSBCHyK4ucmWRRFsQnQpr1D/3t/lJSRSgsIdSLClsYUNRzSp5LX99u333/Kv4tup1Mp8J+/u5dfDACnj5I35fL+5eu9XJ9vl9fM9fHz/vxRqBXyeCd+n7Fvz8fHawbLo0ANp82knLkKgmG8UWFc81Uq14IVuzfQcsbqRNZ5A+QAnqGSdyZKpDF1pQ1SDmQ36zEddyzOIBuklns5SwTn1i3Whalx2wBbupSq3dEpXTo20t157EA26oIjTHQN7xtkTyRXEulN0mfDprDz6QcSNM6R1HRDoV2YwfDYnaQHNng18266Q2IitTYm8B5IAmC3HZIOZCeCyHumIFzyLk7kY3thIchdySWgO2TmiGqzWA6WqCKS4TZQDSQH8+odDuY9I94gM0lawdjBBvPgGfEGaQPpnVgHjV20b132ARSIIydJ0jpu9YE+onQUVwxg0w5txybBAAJEqlO70kS2OiIchcHmGjueU5uR1K1LGlxa4zhHrKNIo11dEA9gOIRgFTP3Krtjk4y9TZ2jK1BVifaw3TqTE/VlkZ48tjdU3DFObQAxsjjWxVh9F+P7/fapjxyd5fK432ZnyR/N/hEPhWeXwBgyWwHG0FnvGKPNqsYYNksXY/RZnxjDZxFijrXWcBhcagqHoaV2DgwvJZLxoiyVgMPoovh8DD0vypY0aIuCJQ32RaqSBn3RpKShVXy5OeEiMklDtIhJ0hAvqpE0JIs8JA3pooN8jDQvCcc87IRkxBnAnMmI82Myw0mOgzNb1bDmPp9fX6S4P/0FaUhHxZep88IAAAEwelRYdFNNSUxFUyByZGtpdCAyMDI1LjAzLjMAAHicNZA7bgMxDESvktILaAn+P3CpPjmEr+HDh5STbVYYjR4587Mfe3/T3rz3HPnadD32i17z0fV/+Ho/EKrKQ9ctoIRB60lAWb5ugmKOXM8bgSuFebQQTjtaRl/2X7QEtSVtQkUtBBV28Y8kymsAGiZHYU2z1aSoHLoAWiPWEEnZj8Sq6UN3cjvPnFNpNqCymncGyYwyJs4P3MCFqdmMfxtZFtVYipwbxOAx3puBiCeutGeAx1M4aAMMqc8wrB7RSiV3IgRMtU4+kiJ3AAL1JB1QkdYkc0uMERB7+a7DVW2KlSjTmdStpMWsEy6Y7SFV74ZbKRPkoQjbeRVWuhis4z+77uh9J2M5GY9CvT+d2kOseF3vX9ibaOqbv+cxAAAAAElFTkSuQmCC</base64_image>",
"role": "assistant"
}
] |
Synthetic_Accessibility
|
O=P(OCC(CCl)(CBr)CBr)(OC(CCl)CCl)OC(CCl)CCl
| 47,815 |
{'sa_score': 9.55, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
| 582.308 | 5.8517 |
[
{
"content": "Determine the synthetic accessibility of the chemical structure 'O=P(OCC(CCl)(CBr)CBr)(OC(CCl)CCl)OC(CCl)CCl'.",
"role": "user"
},
{
"content": "{'sa_score': 9.55, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
Cc1ccc(NC(=O)COC(=O)CCCN2C(=O)c3ccccc3C2=O)cc1
| 1,662,486 |
{"donors": 1, "acceptors": 5}
| 380.4 | 2.55312 |
[
{
"content": "How many hydrogen bond donors and acceptors are in the molecule with SMILES 'Cc1ccc(NC(=O)COC(=O)CCCN2C(=O)c3ccccc3C2=O)cc1'?",
"role": "user"
},
{
"content": "{\"donors\": 1, \"acceptors\": 5}",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
COc1ccc(C(=O)N(C)c2nc3c(s2)CCCC3)cc1
| 1,485,670 |
["GHS06", "GHS08"]
| 302.399 | 3.3071 |
[
{
"content": "List all appropriate GHS hazard pictograms for the molecule represented by 'COc1ccc(C(=O)N(C)c2nc3c(s2)CCCC3)cc1'.",
"role": "user"
},
{
"content": "[\"GHS06\", \"GHS08\"]",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
COc1cccc(COc2ccc3c(c2)OC(=Cc2cc(OC)c(OC)c(OC)c2)C3=O)c1
| 1,781,741 |
(2Z)-6-[(3-methoxyphenyl)methoxy]-2-[(3,4,5-trimethoxyphenyl)methylidene]-1-benzofuran-3-one
| 448.471 | 4.9162 |
[
{
"content": "What does IUPAC call the chemical with structure 'COc1cccc(COc2ccc3c(c2)OC(=Cc2cc(OC)c(OC)c(OC)c2)C3=O)c1'?",
"role": "user"
},
{
"content": "(2Z)-6-[(3-methoxyphenyl)methoxy]-2-[(3,4,5-trimethoxyphenyl)methylidene]-1-benzofuran-3-one",
"role": "assistant"
}
] |
Reactivity_Prediction
|
O=C(c1ccccc1)c1ccc(C=Cc2cc([N+](=O)[O-])ccc2O)cc1
| 797,349 |
{"charges": {"O": [{"atom_idx": 0, "charge": -0.289}, {"atom_idx": 18, "charge": -0.258}, {"atom_idx": 19, "charge": -0.258}, {"atom_idx": 23, "charge": -0.507}], "C": [{"atom_idx": 1, "charge": 0.193}, {"atom_idx": 3, "charge": -0.051}, {"atom_idx": 4, "charge": -0.062}, {"atom_idx": 5, "charge": -0.062}, {"atom_idx": 6, "charge": -0.062}, {"atom_idx": 7, "charge": -0.051}, {"atom_idx": 9, "charge": -0.05}, {"atom_idx": 10, "charge": -0.054}, {"atom_idx": 12, "charge": -0.054}, {"atom_idx": 13, "charge": -0.05}, {"atom_idx": 16, "charge": 0.27}, {"atom_idx": 22, "charge": 0.123}, {"atom_idx": 24, "charge": -0.054}, {"atom_idx": 25, "charge": -0.05}], "N": [{"atom_idx": 17, "charge": 0.062}]}, "dipole": 3.45, "steric_hindrance": 3.08}
| 345.354 | 4.7018 |
[
{
"content": "Provide information about Reactivity_Prediction for the molecule with SMILES 'O=C(c1ccccc1)c1ccc(C=Cc2cc([N+](=O)[O-])ccc2O)cc1'.",
"role": "user"
},
{
"content": "{\"charges\": {\"O\": [{\"atom_idx\": 0, \"charge\": -0.289}, {\"atom_idx\": 18, \"charge\": -0.258}, {\"atom_idx\": 19, \"charge\": -0.258}, {\"atom_idx\": 23, \"charge\": -0.507}], \"C\": [{\"atom_idx\": 1, \"charge\": 0.193}, {\"atom_idx\": 3, \"charge\": -0.051}, {\"atom_idx\": 4, \"charge\": -0.062}, {\"atom_idx\": 5, \"charge\": -0.062}, {\"atom_idx\": 6, \"charge\": -0.062}, {\"atom_idx\": 7, \"charge\": -0.051}, {\"atom_idx\": 9, \"charge\": -0.05}, {\"atom_idx\": 10, \"charge\": -0.054}, {\"atom_idx\": 12, \"charge\": -0.054}, {\"atom_idx\": 13, \"charge\": -0.05}, {\"atom_idx\": 16, \"charge\": 0.27}, {\"atom_idx\": 22, \"charge\": 0.123}, {\"atom_idx\": 24, \"charge\": -0.054}, {\"atom_idx\": 25, \"charge\": -0.05}], \"N\": [{\"atom_idx\": 17, \"charge\": 0.062}]}, \"dipole\": 3.45, \"steric_hindrance\": 3.08}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
O=C1CCC2C(=O)N(CC(=O)N3CCCC3)C(=O)C2C1
| 1,910,055 |
{"donors": 0, "acceptors": 4}
| 278.308 | -0.037 |
[
{
"content": "How many hydrogen bond donors and acceptors are in the molecule with SMILES 'O=C1CCC2C(=O)N(CC(=O)N3CCCC3)C(=O)C2C1'?",
"role": "user"
},
{
"content": "{\"donors\": 0, \"acceptors\": 4}",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
Cc1ccc(N(C(=O)c2ccco2)C(C(=O)NC2CCCCC2)c2cccs2)cc1
| 1,441,874 |
["GHS06", "GHS08", "GHS09"]
| 422.55 | 5.48652 |
[
{
"content": "List all appropriate GHS hazard pictograms for the molecule represented by 'Cc1ccc(N(C(=O)c2ccco2)C(C(=O)NC2CCCCC2)c2cccs2)cc1'.",
"role": "user"
},
{
"content": "[\"GHS06\", \"GHS08\", \"GHS09\"]",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
OC(CCN1CC2CCC(CC2)C1)(Cc1ccccc1)c1ccccc1
| 262,129 |
{"chiral_centers": 1, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 1, "chiral_center_details": [{"atom_index": 1, "configuration": "?"}], "stereogenic_double_bonds": 0, "max_stereoisomers": 2, "potentially_meso": false, "stereochemistry_complexity": "Medium"}
| 349.518 | 4.629 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'OC(CCN1CC2CCC(CC2)C1)(Cc1ccccc1)c1ccccc1'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 1, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 1, \"chiral_center_details\": [{\"atom_index\": 1, \"configuration\": \"?\"}], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 2, \"potentially_meso\": false, \"stereochemistry_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
C1=C(c2ccccc2)C(c2ccc(OCCN3CCCC3)cc2)Oc2ccccc21
| 131,205 |
{"predicted_classes": ["gpcr_ligand"], "class_scores": {"kinase_inhibitor": 0, "gpcr_ligand": 3, "enzyme_inhibitor": 0, "ion_channel_modulator": 0}, "bioactivity_likelihood": "Medium", "drug_like_properties": {"molecular_weight": 397.52, "logp": 5.84, "hbd": 0, "hba": 3}, "structural_complexity": "High"}
| 397.518 | 5.8355 |
[
{
"content": "What is the bioactivity prediction for the compound represented by 'C1=C(c2ccccc2)C(c2ccc(OCCN3CCCC3)cc2)Oc2ccccc21'?",
"role": "user"
},
{
"content": "{\"predicted_classes\": [\"gpcr_ligand\"], \"class_scores\": {\"kinase_inhibitor\": 0, \"gpcr_ligand\": 3, \"enzyme_inhibitor\": 0, \"ion_channel_modulator\": 0}, \"bioactivity_likelihood\": \"Medium\", \"drug_like_properties\": {\"molecular_weight\": 397.52, \"logp\": 5.84, \"hbd\": 0, \"hba\": 3}, \"structural_complexity\": \"High\"}",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
Cc1ccc(N(CC(=O)N2CCN(C)CC2)S(=O)(=O)c2ccc(F)cc2)cc1
| 1,000,517 |
{"predicted_classes": ["gpcr_ligand", "enzyme_inhibitor"], "class_scores": {"kinase_inhibitor": 0, "gpcr_ligand": 2, "enzyme_inhibitor": 2, "ion_channel_modulator": 0}, "bioactivity_likelihood": "High", "drug_like_properties": {"molecular_weight": 405.5, "logp": 2.1, "hbd": 0, "hba": 4}, "structural_complexity": "Medium"}
| 405.495 | 2.10342 |
[
{
"content": "Provide information about Bioactivity_Prediction for the molecule with SMILES 'Cc1ccc(N(CC(=O)N2CCN(C)CC2)S(=O)(=O)c2ccc(F)cc2)cc1'.",
"role": "user"
},
{
"content": "{\"predicted_classes\": [\"gpcr_ligand\", \"enzyme_inhibitor\"], \"class_scores\": {\"kinase_inhibitor\": 0, \"gpcr_ligand\": 2, \"enzyme_inhibitor\": 2, \"ion_channel_modulator\": 0}, \"bioactivity_likelihood\": \"High\", \"drug_like_properties\": {\"molecular_weight\": 405.5, \"logp\": 2.1, \"hbd\": 0, \"hba\": 4}, \"structural_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
Solubility_Prediction
|
CC1(C)OC2(C=CNN2)OC1(C)C
| 559,183 |
{"log_s": 0.32, "solubility_mg_ml": 0.3892, "solubility_category": "Slightly soluble", "contributing_factors": {"molecular_weight": 184.23899999999998, "logp": 0.87, "oh_groups": 0, "nh_groups": 2, "cooh_groups": 0, "aromatic_rings": 0}}
| 184.239 | 0.8657 |
[
{
"content": "Determine the solubility prediction of the chemical structure 'CC1(C)OC2(C=CNN2)OC1(C)C'.",
"role": "user"
},
{
"content": "{\"log_s\": 0.32, \"solubility_mg_ml\": 0.3892, \"solubility_category\": \"Slightly soluble\", \"contributing_factors\": {\"molecular_weight\": 184.23899999999998, \"logp\": 0.87, \"oh_groups\": 0, \"nh_groups\": 2, \"cooh_groups\": 0, \"aromatic_rings\": 0}}",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
CCOC(=O)c1c(NC(=S)NC(=O)c2ccccc2)sc2c1-c1cccc(OC)c1OC2
| 1,251,119 |
ethyl 2-(benzoylcarbamothioylamino)-6-methoxy-4H-thieno[2,3-c]chromene-1-carboxylate
| 468.556 | 4.6196 |
[
{
"content": "Give the IUPAC-compliant name for the molecule 'CCOC(=O)c1c(NC(=S)NC(=O)c2ccccc2)sc2c1-c1cccc(OC)c1OC2'.",
"role": "user"
},
{
"content": "ethyl 2-(benzoylcarbamothioylamino)-6-methoxy-4H-thieno[2,3-c]chromene-1-carboxylate",
"role": "assistant"
}
] |
Solubility_Prediction
|
Cc1ccc(N(CC(=O)N2CCN(C)CC2)S(=O)(=O)c2ccc(F)cc2)cc1
| 1,000,517 |
{"log_s": -3.51, "solubility_mg_ml": 0.0001, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 405.49500000000006, "logp": 2.1, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 2}}
| 405.495 | 2.10342 |
[
{
"content": "What is the solubility prediction for the compound represented by 'Cc1ccc(N(CC(=O)N2CCN(C)CC2)S(=O)(=O)c2ccc(F)cc2)cc1'?",
"role": "user"
},
{
"content": "{\"log_s\": -3.51, \"solubility_mg_ml\": 0.0001, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 405.49500000000006, \"logp\": 2.1, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 2}}",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
CCCc1ccc(Oc2nc(-n3nc(C)cc3C)ncc2C(=O)OCC)cc1
| 1,979,035 |
["GHS05", "GHS08", "GHS09"]
| 380.448 | 4.20064 |
[
{
"content": "Which GHS pictograms are required for the substance 'CCCc1ccc(Oc2nc(-n3nc(C)cc3C)ncc2C(=O)OCC)cc1'?",
"role": "user"
},
{
"content": "[\"GHS05\", \"GHS08\", \"GHS09\"]",
"role": "assistant"
}
] |
Functional_Group_Identification
|
CCc1cnc([N+](=O)[O-])[nH]1
| 88,922 |
{"amine": 1, "nitro": 1}
| 141.13 | 0.8803 |
[
{
"content": "Determine the functional group identification of the chemical structure 'CCc1cnc([N+](=O)[O-])[nH]1'.",
"role": "user"
},
{
"content": "{\"amine\": 1, \"nitro\": 1}",
"role": "assistant"
}
] |
Functional_Group_Identification
|
CCOC(=O)C(Cl)(Cl)C(C)=O
| 80,217 |
{"ketone": 1, "ester": 1, "ether": 1, "halogen": 2}
| 199.033 | 1.3124 |
[
{
"content": "What is the functional group identification for the compound represented by 'CCOC(=O)C(Cl)(Cl)C(C)=O'?",
"role": "user"
},
{
"content": "{\"ketone\": 1, \"ester\": 1, \"ether\": 1, \"halogen\": 2}",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CCCCC=CC(O)CC
| 316,603 |
{"chiral_centers": 1, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 1, "chiral_center_details": [{"atom_index": 6, "configuration": "?"}], "stereogenic_double_bonds": 1, "max_stereoisomers": 2, "potentially_meso": false, "stereochemistry_complexity": "Medium"}
| 142.242 | 2.5037 |
[
{
"content": "Determine the stereochemistry analysis of the chemical structure 'CCCCC=CC(O)CC'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 1, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 1, \"chiral_center_details\": [{\"atom_index\": 6, \"configuration\": \"?\"}], \"stereogenic_double_bonds\": 1, \"max_stereoisomers\": 2, \"potentially_meso\": false, \"stereochemistry_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
COC(=O)c1coc(CN(C(=O)Nc2ccccc2Br)C(C)(C)C)n1
| 1,197,718 |
{"donors": 1, "acceptors": 5}
| 410.268 | 4.0563 |
[
{
"content": "Calculate the hydrogen bonding capacity (donors and acceptors) of the molecule 'COC(=O)c1coc(CN(C(=O)Nc2ccccc2Br)C(C)(C)C)n1'.",
"role": "user"
},
{
"content": "{\"donors\": 1, \"acceptors\": 5}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
Cc1ccc2c(c1)-c1c(ssc1=S)C(C)(C)N2C(=O)c1ccccc1Cl
| 1,732,824 |
418.01
| 418.008 | 7.06341 |
[
{
"content": "What is the molecular weight of the compound with SMILES 'Cc1ccc2c(c1)-c1c(ssc1=S)C(C)(C)N2C(=O)c1ccccc1Cl'?",
"role": "user"
},
{
"content": "418.01",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
Cc1ccc(C)c(OCC(=O)Nc2ccc(Cl)cc2C)c1
| 1,121,090 |
{"donors": 1, "acceptors": 2}
| 303.789 | 4.28276 |
[
{
"content": "Calculate the hydrogen bonding capacity (donors and acceptors) of the molecule 'Cc1ccc(C)c(OCC(=O)Nc2ccc(Cl)cc2C)c1'.",
"role": "user"
},
{
"content": "{\"donors\": 1, \"acceptors\": 2}",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
CCOC(=O)C1=C(CSc2ccc(C)cc2)OC(N)=C(C#N)C1c1cccc(Cl)c1Cl
| 1,935,416 |
{"molecular_weight": 475.4, "logp": 5.72, "hydrogen_bond_donors": 1, "hydrogen_bond_acceptors": 6, "rotatable_bonds": 6, "topological_polar_surface_area": 85.34, "lipinski_violations": ["LogP>5"], "violation_count": 1, "drug_like": true, "assessment": "Drug-like"}
| 475.397 | 5.719 |
[
{
"content": "What is the drug likeness assessment for the compound represented by 'CCOC(=O)C1=C(CSc2ccc(C)cc2)OC(N)=C(C#N)C1c1cccc(Cl)c1Cl'?",
"role": "user"
},
{
"content": "{\"molecular_weight\": 475.4, \"logp\": 5.72, \"hydrogen_bond_donors\": 1, \"hydrogen_bond_acceptors\": 6, \"rotatable_bonds\": 6, \"topological_polar_surface_area\": 85.34, \"lipinski_violations\": [\"LogP>5\"], \"violation_count\": 1, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
COC(=O)c1cc(N)c(Cl)s1
| 770,013 |
{"molecular_weight": 191.64, "logp": 1.77, "hydrogen_bond_donors": 1, "hydrogen_bond_acceptors": 4, "rotatable_bonds": 1, "topological_polar_surface_area": 52.32, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 191.639 | 1.7703 |
[
{
"content": "What is the drug likeness assessment for the compound represented by 'COC(=O)c1cc(N)c(Cl)s1'?",
"role": "user"
},
{
"content": "{\"molecular_weight\": 191.64, \"logp\": 1.77, \"hydrogen_bond_donors\": 1, \"hydrogen_bond_acceptors\": 4, \"rotatable_bonds\": 1, \"topological_polar_surface_area\": 52.32, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
CC1(C)C(Cl)C1(Cl)Cl
| 277,523 |
1,1,3-trichloro-2,2-dimethylcyclopropane
| 173.47 | 2.8075 |
[
{
"content": "Name the molecule 'CC1(C)C(Cl)C1(Cl)Cl' according to IUPAC rules.",
"role": "user"
},
{
"content": "1,1,3-trichloro-2,2-dimethylcyclopropane",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
COc1cccc(N2CCN(C(c3ccccc3)c3nnnn3Cc3cccs3)CC2)c1
| 1,447,784 |
1-(3-methoxyphenyl)-4-[(R)-phenyl-[1-(thiophen-2-ylmethyl)tetrazol-5-yl]methyl]piperazine
| 446.58 | 3.7031 |
[
{
"content": "Give the IUPAC-compliant name for the molecule 'COc1cccc(N2CCN(C(c3ccccc3)c3nnnn3Cc3cccs3)CC2)c1'.",
"role": "user"
},
{
"content": "1-(3-methoxyphenyl)-4-[(R)-phenyl-[1-(thiophen-2-ylmethyl)tetrazol-5-yl]methyl]piperazine",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
COc1cccc(NC(=O)CN(CCc2ccccc2)S(=O)(=O)c2ccccc2)c1
| 1,352,270 |
{"chiral_centers": 0, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 0, "chiral_center_details": [], "stereogenic_double_bonds": 0, "max_stereoisomers": 1, "potentially_meso": false, "stereochemistry_complexity": "None"}
| 424.522 | 3.5673 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'COc1cccc(NC(=O)CN(CCc2ccccc2)S(=O)(=O)c2ccccc2)c1'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 0, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 0, \"chiral_center_details\": [], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 1, \"potentially_meso\": false, \"stereochemistry_complexity\": \"None\"}",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
N#Cc1c(SCC(=O)OCc2ccccc2)nc2c(c1-c1ccc(OCc3ccccc3)cc1)CCCC2
| 1,726,203 |
{"chiral_centers": 0, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 0, "chiral_center_details": [], "stereogenic_double_bonds": 0, "max_stereoisomers": 1, "potentially_meso": false, "stereochemistry_complexity": "None"}
| 520.654 | 6.91358 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'N#Cc1c(SCC(=O)OCc2ccccc2)nc2c(c1-c1ccc(OCc3ccccc3)cc1)CCCC2'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 0, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 0, \"chiral_center_details\": [], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 1, \"potentially_meso\": false, \"stereochemistry_complexity\": \"None\"}",
"role": "assistant"
}
] |
Solubility_Prediction
|
CC1=CC(C)(C)NC(=O)C1S(=O)(=O)c1ccc(C)cc1
| 1,492,582 |
{"log_s": -1.83, "solubility_mg_ml": 0.0043, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 293.38800000000003, "logp": 1.99, "oh_groups": 0, "nh_groups": 1, "cooh_groups": 0, "aromatic_rings": 1}}
| 293.388 | 1.99202 |
[
{
"content": "Determine the solubility prediction of the chemical structure 'CC1=CC(C)(C)NC(=O)C1S(=O)(=O)c1ccc(C)cc1'.",
"role": "user"
},
{
"content": "{\"log_s\": -1.83, \"solubility_mg_ml\": 0.0043, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 293.38800000000003, \"logp\": 1.99, \"oh_groups\": 0, \"nh_groups\": 1, \"cooh_groups\": 0, \"aromatic_rings\": 1}}",
"role": "assistant"
}
] |
Molecule_Visualization
|
CONC(=O)Nc1ccccc1
| 254,026 |
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</base64_image>
| 166.18 | 1.3695 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'CONC(=O)Nc1ccccc1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
CCN(CC)C(=O)CSc1nnc(-n2nc(C)cc2C)c2ccccc12
| 648,440 |
["GHS06", "GHS08"]
| 369.494 | 3.39284 |
[
{
"content": "List all appropriate GHS hazard pictograms for the molecule represented by 'CCN(CC)C(=O)CSc1nnc(-n2nc(C)cc2C)c2ccccc12'.",
"role": "user"
},
{
"content": "[\"GHS06\", \"GHS08\"]",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
COc1cc(OC)c(OC)cc1C=C1Oc2cc(OCc3ccc(C)cc3)ccc2C1=O
| 1,755,451 |
(2Z)-6-[(4-methylphenyl)methoxy]-2-[(2,4,5-trimethoxyphenyl)methylidene]-1-benzofuran-3-one
| 432.472 | 5.21602 |
[
{
"content": "Convert this SMILES representation 'COc1cc(OC)c(OC)cc1C=C1Oc2cc(OCc3ccc(C)cc3)ccc2C1=O' to its proper IUPAC name.",
"role": "user"
},
{
"content": "(2Z)-6-[(4-methylphenyl)methoxy]-2-[(2,4,5-trimethoxyphenyl)methylidene]-1-benzofuran-3-one",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
O=C(NCc1ccccc1)c1nnn(Cc2ccccc2)c1NCc1ccccc1
| 1,499,983 |
N,1-dibenzyl-5-(benzylamino)triazole-4-carboxamide
| 397.482 | 3.8685 |
[
{
"content": "Give the IUPAC-compliant name for the molecule 'O=C(NCc1ccccc1)c1nnn(Cc2ccccc2)c1NCc1ccccc1'.",
"role": "user"
},
{
"content": "N,1-dibenzyl-5-(benzylamino)triazole-4-carboxamide",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CC(C(=O)N1CCN(c2cccc(C(F)(F)F)c2)CC1)N1C(=O)c2ccccc2C1=O
| 1,402,180 |
{"chiral_centers": 1, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 1, "chiral_center_details": [{"atom_index": 1, "configuration": "?"}], "stereogenic_double_bonds": 0, "max_stereoisomers": 2, "potentially_meso": false, "stereochemistry_complexity": "Medium"}
| 431.414 | 3.0387 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'CC(C(=O)N1CCN(c2cccc(C(F)(F)F)c2)CC1)N1C(=O)c2ccccc2C1=O'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 1, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 1, \"chiral_center_details\": [{\"atom_index\": 1, \"configuration\": \"?\"}], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 2, \"potentially_meso\": false, \"stereochemistry_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
CCCCOS(C)(=O)=O
| 15,953 |
{"molecular_weight": 152.21, "logp": 0.76, "hydrogen_bond_donors": 0, "hydrogen_bond_acceptors": 3, "rotatable_bonds": 4, "topological_polar_surface_area": 43.37, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 152.215 | 0.7627 |
[
{
"content": "Determine the drug likeness assessment of the chemical structure 'CCCCOS(C)(=O)=O'.",
"role": "user"
},
{
"content": "{\"molecular_weight\": 152.21, \"logp\": 0.76, \"hydrogen_bond_donors\": 0, \"hydrogen_bond_acceptors\": 3, \"rotatable_bonds\": 4, \"topological_polar_surface_area\": 43.37, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
Cc1ccc(S(=O)(=O)O)cc1.[H]N=C(N)c1cccc(C(=O)OCC)c1
| 319,745 |
ethyl 3-carbamimidoylbenzoate;4-methylbenzenesulfonic acid
| 364.423 | 2.38909 |
[
{
"content": "Name the molecule 'Cc1ccc(S(=O)(=O)O)cc1.[H]N=C(N)c1cccc(C(=O)OCC)c1' according to IUPAC rules.",
"role": "user"
},
{
"content": "ethyl 3-carbamimidoylbenzoate;4-methylbenzenesulfonic acid",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
CC1=CC(C)(C)NC(=O)C1S(=O)(=O)c1ccc(C)cc1
| 1,492,582 |
{"donors": 1, "acceptors": 3}
| 293.388 | 1.99202 |
[
{
"content": "How many hydrogen bond donors and acceptors are in the molecule with SMILES 'CC1=CC(C)(C)NC(=O)C1S(=O)(=O)c1ccc(C)cc1'?",
"role": "user"
},
{
"content": "{\"donors\": 1, \"acceptors\": 3}",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
COc1cc2cc(CN(Cc3cccs3)C(=S)Nc3ccc(C)cc3C)c(=O)[nH]c2cc1OC
| 1,375,399 |
{"chiral_centers": 0, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 0, "chiral_center_details": [], "stereogenic_double_bonds": 0, "max_stereoisomers": 1, "potentially_meso": false, "stereochemistry_complexity": "None"}
| 493.654 | 5.62284 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'COc1cc2cc(CN(Cc3cccs3)C(=S)Nc3ccc(C)cc3C)c(=O)[nH]c2cc1OC'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 0, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 0, \"chiral_center_details\": [], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 1, \"potentially_meso\": false, \"stereochemistry_complexity\": \"None\"}",
"role": "assistant"
}
] |
Molecule_Visualization
|
COc1ccccc1NC(=O)N(Cc1ccccc1)Cc1nc2sc3c(c2c(=O)[nH]1)CCCC3
| 1,440,255 |
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</base64_image>
| 474.586 | 5.1063 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'COc1ccccc1NC(=O)N(Cc1ccccc1)Cc1nc2sc3c(c2c(=O)[nH]1)CCCC3'.",
"role": "user"
},
{
"content": 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OsA4ZNPYPZsscu4HgcHh0WLFu3bty8sLIwSaCgLi0FWVu7FxWu8vDYqFKMAQK0uO316hE53rfsnurr6eXt7u7u7u7m5ubi4dP3D1dX18uXLvr6++/fvVyqVbChSglavXp2enh4XF7dy5Ur2S5oeEj2ELi6weTOEh8Pq1eDtDQcOQHo6/Pab2GXcAF0VxmgymZW//8HS0pdzc8fZ2U0ZNuwza2sfna5ZLh9gYeFkZeVpZeVhadn6h/4twcHuq1bd5AoPHh4eCxcu/Prrr7ds2fLKK6+I839kqIiIiLVr154+ffrQoUOhoaEGPNPE+6c9lJODGzbgc8/hBx+glE46YVeqfOKJJ3gX0odpNLUXLy7PzZ2AiFpto6kWe/ToUQBwcXGR8k802TWgHnroIYOexSmEUvXuu+8CwDPPPMO7kL6toeFodrZj75dz5cqV6Ojov//97+yfbB/h888/7/2SzaSsrMza2trS0rKoqKjnz+oPlzw0IWpHjabRVBQXR9XV7a+v/6W0dN2gQX/p/TKbm5vfeuutjz766MqVKwDw9NNPA8DmzZt7v2QzcXd3nzdvnkajWbFiRc+fRSHsgC7XazSZzFqhGFlV9eWVK+8MHDjL1/fT3i/Tx8fnvvvuU6lUn376KQAsXrzYzc0tOzv72LFjvV+4mYwfPx4Ajh8/3tzc3MOnUAg7oG9Co1lYOMjlNq6uz4wc+aO7+4tyub1JFrt69WoA+PDDD9VqtUKheOyxxwDgvffeM8nCTU6r1X7zzTcA4OLi0vMrL1IIO6AQGk2jqSwsfDw/fw6iKa+zOnv27KCgoNLSUjbZ4FNPPWVlZbVr166SkhITrsVU1q9fn5eX5+TklJSUxM557AkKYQfsQr3st07EIA0NRwDQzm6KTGbiZv6pp56Ctm8/T0/PBQsWqNXqTz75xLRr6b1ffvnl9ddfl8vliYmJ48aN6/kTKYQd0Deh0RobjwKAvf10ky95+fLlzs7Ohw8fZrOUsQb1o48+UqlUJl+X0a5cubJkyRKtVrt+/fqwsDCDnksh7IBCaLSGhiMAYGc3zeRLtrW1/Z//+R8AYJednzFjRnBwcHl5+a5du0y+LuPodLqlS5devnx51qxZRsxbSCHsQCZ7xdFRp1A8z7uQPgZR1dSUCSCzswsxx/JXr15tYWGxffv28vJyAHjyySdBSsMz69atO3DggJub244dO4zYl6EQdnDtmmVtrczkezX9XlNTlk7XbGMTaGnpbI7l+/r63nvvvSqVatu2bQCwZMmSwYMHHz9+PCMjwxyrM0haWlpsbKxcLt++fbu7u7sRS6AQdqDRAABQN2qotl7U9DuEAuFYhUajsbGxYccqTDlJoFEuX768dOlSrVa7YcOGOXPmGLcQCmEHFELjNDSwURnT7xAK7r777tGjRxcVFSUlJQHAU089ZWlpuXPnTnYyDRdarZbtCs6ePftf//qX0cuhEHZAITROY+MxMM/QqEAmk7HT1tiuIDuZpqWlheOxinXr1qWlpbm5uW3fvr03h7UohB1QCI2gUp1Xqy9bWroqFCPNuqIVK1Y4ODgcPHjw5MmToHesQq1Wm3W915WWlrZp06be7AoKKIQdUAiNwHYIzdqLMgMHDmQnRn/wwQcAMGvWrHHjxpWWln7//ffmXnUnwq7gf/7zH6N3BQUUwg4ohEbYuDHj7bfHlpSY4GcTN7V69Wq5XP7VV19VV1dD2+8qRD5Wob8r+MILL/R+gRTCDiiERkhN/fXrr09bWhpwopbRRo4cec899zQ1NbFjFcuWLXN2dj5y5MiJEydEWDvz8ssvp6Wlubu793JXUEAh7IBCaKja2to///xToVBMnDhRnDWyXcH33ntPq9Xa2to+8sgj0HYyjQj279+/adMmduZAL3cF25nvV8Z90fz5CID/93+86+g79u7dCwDTp08XbY06nc7f3x8Adu/ejYiXLl2ysLBQKBRXrlwx96qVSiWbj/3VV1814WLpm7AD+iY01JEjRwBAmNtDBDKZTP+0tWHDhs2bN0+lUn322WdmXa9Go3n44YcrKipmz54dHR1tykWbMND9QH09VldjSwvvOvoONonqjz/+KOZK6+rqBg0aBABsIvSff/4ZALy8vFrM+c6xMRh3d/eysjLTLvmWC6GNDepfg2fJEnz3XUTE4cMxMrL99rvvxr17xa7thsrK8MQJLCnhXUdnarXa3t5eJpOJ0Ap2snnz5p07dwqpY5OWP/fcc0ePHi0pKTF6lrIb2bt3r1wut7CwMHrqpW7cco3XtWug07X/U6UCdqS3thb27YPkZPjLXwAA6uuhpYVPhR1UV8OyZZCZCQEBcO4cjB0L27eDqyvvslrl5OQ0NDT4+/u7il5SVFSU8HdjY6OFhYWrq+s777zzzjvvAIC1tbW3t7eHh4enp6dfGw8Pj+HDhxt6jXoAUCqVy5cv1+l0r7322mwzXKiaTwhPnz69bt06d3f3//73v2ziWylYtw6efhpOnQIbG96lCB57DAYMgMJCGDAAVCpYsQJWrIB9+3iX1YrtEApTkXNx+fLl8PDwkydPOjg4zJs3r6Kioqio6MqVKwUFBQUFBZ0eLJfLPT09hw0b5uvr6+PjM2zYMPZfX1/fG4VTo9EsWbKksrJy7ty5Jt4VbCN2CK9du/buu+++/PLL7FSjPXv2fP3118KkSOL46CNwdGz9++xZED5C8+ZBcjK89hps3ChmOTdWVwe7d0N+PrDtlEIB//0veHvDlSvg5sa7OAAAdkFeMUdlOsnNzZ03b15hYaGfn9/evXsDAgLY7SqVqqSkpKCgoLS0tKysrKBNUVGRUqlUKpVs86HPycmp0zenn5+fg4PD6tWrDx065O3t/cUXX/T8sjEGES+EOp3uq6++eumll5RKJQA4OTk1NzcrlcrQ0NDIyMhNmzaZ7KjLzchkcKOZAt59FyZOhMhIcQq5AURoagI7Ozh/HgYMgBEj2u/y9ARnZzh3TiIh5PtNeOTIkQceeKCqqiokJGT37t36LbFCoWAp6vQUjUajVCqLioouXbpUWFhYWFhYVFTE/ltTU1NTU5Obm3vddX366afs4IRZmHwv87rS0tKEg7kTJ05MS0tDxKamppiYGNaO2tnZxcTEiDAHMgBeutT+z4UL8e23ERGdnPD8eUTEDRtw/nwMCcEff8TqalSrzV1RR8eP45134ooViIjZ2ThgAHYaY3B2xqNHxa3pOoqLi1euXOni4mJlZbVu3TrxJ69OTExkn5wHH3ywqamp9wusrq4+ceJEUlJSfHx8dHR0REREcHAw++pbvHhx75ffDbOHMC8vLyIigsXPy8srPj5eo9HoP6C4uDiy7atn9OjRKWwKe7O5aQivXcORI3HgQPzxR/zrXzEgAH/+2awVtTl3DhcuRAAEQC8vrKvDujqUyzE/v/0xxcUok2F5uSgFXV9tbe3atWtZAISrJAcFBf3666+i1RAXF8emPYqKitKaeXrZyspKc6/CjCGsrKyMjo5ml0BlX3TCFqusrCwnJ0f/wSkpKaNHj2bvaHh4uEGX8jfITUOIiMnJCIBffYUjRiAAymS4dGmHGb5NrLoao6NRoUAAtLXF6Gi8erX1rogIXLAA2RQoKhUuXoz332+2Om5CrVbHx8e7ubkBgEwmi4iIKCgoSE1NFeeNE2p44oknAMDCwuK9994z67pEY5YQqlSquLg4BwcHAJDL5ZGRkcLxzcbGxtjY2EGDBo0ZM0bdsdVjz7K3tzdrd5qaivqz+pw8iYWFiIgHD6J+U/Pbb1hejioVxsWhvT0CoJ0dxsSgiStqacH4eHRxQQCUyzEion0Lce0a5udjVRXeey96eOCsWejpiXffjRUVJq2gp1JSUsaOHcvCFhIScuTIEb3/iRYR3jhErK+vnzdvHlsLO2etfzBxCHU6XWJi4vDhw9m7FRYWdvLkSXaXVqvdunWrl1frNK4LFiyoqqrqugT97jQgIOBnkXrB7hQXY2Rka58YEIDJySZablJS61ctAM6Zg9nZrbfrdJiYiMOH4+jRrbukSiWeOIFm/pK5kRMnTsycOZO9I/7+/omJifr3Cq1apzcu2WQvU6uSkhI2rDB48GD9TUA/YMoQHjt2TBgoCwwM/Omnn4S7UlNTJ0yYwO4KDg4+ePBg94tKTU0dM2aMaE1OT6Sm4ujRrZEJD2/9/jROy7FjOHVq67LGjsV9+9rv+/VXnDSp9a7x43kFjykqqlq6dCnb+xoyZMj777/f6byw4uLikSNHJiQkCGeodHrjCnvzMuk5deqUj48PAIwcOTJffye5XzBNCM+ePXuj0Zc///xTuMvb2zs+Pr6Hu7miNTk919LS2+60sLAwMjJyHYvZkCEYF9c+/JqfjxERKJMhAHp6Ynw8dhzBElN9PcbEoIODysdnhLW1dVRUVE1NTdeHrVu3jr2zoaGhQsvT9Y1rbm7uTTGpqals12bq1KkVnLpxs+ptCKuqqqKjoxUKBXvFo6Oj6+rq2F0VFRVRUVHsatb29vb6AzM9p9/k+Pv7m7zJMYLQnXp5XRo3bvz+/ft78qzq6urnn3+eDVPZ2tpWbNqE9fWt91VVtQ/M2NlhdDS2vYbiU6vxgw9a91JlMnz++cOX9AeyOtLpdAkJCWyoxtLSMioqqrZt3mWlUqn/xvXwVepq27ZtbAz2oYceMsmhCAkyPoRsHMXR0bHr6EtTUxMbfWHvzapVqy5fvtybKg8cOGCOJqc39u7F8PDHWUmLFy9WKpU3emRLS0t8fDw71CuXyyMiIto/1mzkx9GxdWAmMtKcg7A3l5KCQUGtvXBICB4+3KNn1dTUCFtbd3d3/e70wIEDgYGBxr1xOp0uJiZGtEMRHBkTQjb6IpyOEBYW9scff+jf5evrK9zFfmzSeyZvckxbkq2t7XVLSkpKGjmy9Rpks2fPzsrKYrfrdLqS775DX9/Wj/zcuWiiF8o4mZk4a1ZrLaNGYWJi53MEbionJ0c4/XDSpEkZGRnsdvYqDRw4sJtXqSuVSsW+SC0sLD744AMj/o/6EINDePToUeFcwcDAwP/T+xX6gQMHhNNigoODf/nlF1NWioima3JEKCkjIyM0NFQYLdQfVExPT58+ffpYFxedvT2OGYN79ohQ58mT7eOviHj+POblsfpx1Sq0sEAAdHbG2Fg0euPGNsHe3t5Cc1RZWcnu0n+VRo0atU9/LKqLurq6uXPnsq3tHlFeHL4MCOH58+eHDh0qjL5s3bpV6BD0T4thoy8acw4q6Dc58+fPP378uPnWZURJc+bMCQ8PZ32Um5vbli1bhCOi586dW7hwIXuYp6fnnzt2oFhd1qJFaGPTfkLCyy/jM8/gxo1oY4MAqFDgP/+J1xt8MVhDQ0NMTAzb+x08eHBcXJzwOUlLS2M//GPd6XX3NpVKJZtx2sPD48SJEyYoSPIMCKHw6fn73/8ujL5UVlYK+wOdTosxq+bm5tdee83Ozg4AZDKZaa/5YRz9vovtDK9Zs0YYqNAfwbK1tdUfwRLHokU4bhzOndv6TxbCl15CmQwjIvDCBROvLi8v7+6772YvxR133CFsKLvvTv/44w/2RXrbbbd1MyDUzxgQwilTpgDAvHnz2D/1T4thoy8m/9n/TSmVSvaeubm5ibzqGyksLBS2Vu7u7tXV1V0HZrgMLC1ahO+/j2PHIuuLWQjr6jA93YwrTUpKYt0T606FAwwlJSX63enevXsRMTk5mQ3mzZ49+7pHRPorA0LILjX3LrsaBOKGDRuEviI3N9c85d3c9u3bWevCq4DrSk5OtrKysra23rx584i23yKFhYVl6++WiWvRIvzoI0xORk9PvHq1NYQi0O9OnZ2d9btT/fNOJ06cyPqp5cuXcz8gLDIDQsgucfXhhx+yf9bU1ISFhZnjkhs3lZubm5KSwo4KHDx4EABCQ0PFL6N7bno/+Rs7dmz3QxEiYCFExIgIfO458ULI5OXl3XPPPUJ3mt72/St0pw4ODjKZLCoqyuSXh5E+A0L4v//7vwDw8ccfm6+aHqPoIU8AAA5eSURBVGLXe926dSsipqamsgaGd1Gdsf6TbfvVYv8q8TqEECqV6OyMf/ubqCFkbtSd7t69GwBuv/12sQuSBgN+ri+d+dz1K2F/Cz9skw6tVgsAOTk5zz77rBReNIGXF7z4Inz7LYdV33fffWfOnFmzZo2FhcWXX37JNusA4OTkBABsh/AW1E9CKIWqOmGFsYErqXn2WQgK4rPqgQMHvvXWW9nZ2WFhYcKwgmTfRHEY8L8tnVeqD4VQOoXt3AkA0NgILS1gZwc5OTyLue2221JSUoR/Su21Ehl9E5qLNAt76ilwdoZvvgEASEkBmQzahkt4kuZrJRoKoblIszD9yTbYVY+lUKA0XyvRUAjNQqfT6XQ6uVxupitVGk0/hOxvKQxpSfNNFA2F0CykWRVcL4RSqFGyL5c4KIRmIc2qgEIoSRRCs5BmVUAhlCQD/rfZ7BFSeKX6QggHOjrqHB2RdyGdSTOE0vlocUHHCc1Co5HV1oK19Q2mvOBHmiGU5psoGoPbUSmcINYXQgggjc93J/qHJaRTpHQ+WlzQPqFZSOcQXCf6hyWkFkKpvYmioXbULKTz+e5EvzArq4qJEy2GDNEAcJ76V5pvomj6/DehNPfppXMcvBOFQuvoiJaWOgCoq/siK2twQ8Mm3kVJ6KPFRZ8PIfvFkBSq0ifZb8KrVyfU1sotLc+AVN/QW1CfD6F0qtIn2RBK86WTTiVcUAjNgkJoENbOWFhY8C6EDwqhWfSJEErnoy/NN1E0FEKz6BMhlM5LJ51KuKAQmgWF0CDSqYQL448THjp06MyZM6tWrRL/J3P6hyWk+f5Nnw7V1RTCnpJOJVwY+U2o0WiefvrpJ598cvLkyenp6eaq7gZmzpw5a9YsdpaT1N6/N98EKyvIzQUnJxg4EJKSYMoU3jXpoRBKkAEhbG5uFv62tLR89dVXfX19MzMzp02btnz58vLycjOUd3379u1LS0uT2idJ4OQEq1cDSu4XFAAUQkkyuJMcM2ZMbm4uANx33325ubkxMTEKheLLL78MCAjYvHkzG3ATDSJeunQJACoqKsRcb/fCw6GxET7/nHcd16P/cX/ggQdiY2OnTZvGu6jWqvLy8ngXwknPrxO8Zs0atvtnbW39wgsvNDQ0sNvPnTs3b948trTx48cf7uH8rr12/PhxNiulu7s7m6tZ5HmOruuNN/DRR/HIEXRxwcpK3L0bJ0/mXZMe1sO3tLTwLqSDZcuWsc9PeHj4xYsXeZcjNsMmCS0rK4uKimJHljw9PRMSEoS7kpKShg8fDgAymSwyMrKX82N37/z58w899BCbANDd3X327Nls6zB06NBvv/3WfOvtCRZCRHzkEXzsMQmFUKvVbtu2TaFQWFtbf/PNN7zL6SAoKIht3AHA1tZ248aN3KdhFpMx02VnZmaGhISwTdesWbNOnz7Nbm9qaoqJiRkwYAAAODo6mmMOhurq6k6z/F29erWbksSUl4dKZXsIy8txyBCMiWkNoTk3SjeXmprKZt4UzJkzh+NcWgKtVpuQkMDit2bNmsjISLZtHTFihP4k0P2bMSFERJ1Ol5CQwOY8sbKy0m8Fz58/P3/+fPZO33777YcOHTJJoV1n+es0iWQ3JZlbVRVGR6O1NS5b1h5CRNyyBe3tcfJk/P13VCgwKgqvXhWnonadJlHesmXL559/rv8qXRW/pjb79u0bO3Ysq83Pz+/ChQuIePDgQeHG8PDwgoICXuWJxsgQMtXV1eJ0p0lJScIsf3PmzOlmlr+uJZl1qq1r1zA2Fh0cEAAtLPDxx3HTpvYQarUYEoKTJ+Obb6JcjgDo5YWidYL6kyjb29vrT6Is8qvUVW5ubnh4uP4386RJkzIyMti9arU6Li6OzQ9jY2MTExNz7do1McsTWa9CyGRmZk6dOpW9lDNnzrxud+rg4GBcd5qRkTFjxgy28NGjRyeyaWaNLcmEdDpMTEQ/PwRAAAwLwz/+QES8dAnPnGl/WHExsomis7Jw6tTWB991F546ZfKK2jU1NcXGxupPonzdjaD+q3TXXXedMmtNbUpKSlatWsXy7+TkFBsbu2vXLh8fH2F7XV5eLjxyyZIlQneanZwsQnlcmCCE2NYKurq6dm1yLly4IGzzxo0b99tvv/VwmYWFhcIewpAhQwzNcDcl9d6xYzh9emuixozBHu686HSYkICurgiAlpZm6U51Ol1iYqKvry97wcPCwrqPlv6rxEaYzdedNjY2xsbGsu83KyurVatWXblyRbiLHetiyYyLi9NoNOyuX3/9NSgoaIitrdrTE8PDsT92p6YJIaPf5Hh4eOg3OUlJSX5+fkKjX1xc3P1yoqOj2Veo/uiLaUsyTn4+RkSgTIYA6OmJ8fHY9mnpqZoajIpCCwsEQA8PTEhAU3WCaWlpEydOZC/yxIkT09LSevjEqqqqJ554go0wT58+d8cO09Qj0GgwIWGXp6cnq23hwoXnzp3r+rD8/Py5c+eyx0yYMOHo0aPsdrVa/efHH+OgQQiANja4YQP2r+7UlCFksrKyhOO/+k1OU1PT+vXrbWxsWHd63Y8IG31hG2aZTBYREWGSo0Y3KskglZWV//lPqpUVAqCdHa5fj20HSo2RmYkhIa3fpTNnYi/7Zf3RFy8vr/j4eI2h24a2V+n22w+yhvnkyV6VJEhJwfHjMTT0FADccccdv/76a/ePT0pKGjZsmNCdCt+WWFaGkZGt2z8/P+zZjkmfYPoQYrdNTnFxcWRkpKura01NTadnJSUljRw5kn2SZs+enZWVJU5JN8U2DUOGDHFwcBwypCIyEktLTVJSe3caGrrSuFawsrIyOjqaDfHb2dnpj74YV9Jnn6GLCwKglRU+/3yvGuZTp3Du3NYNzciRup07d/ewDWloaBD+p5ydnWu2bUOttvW+337DcePad8T//NP4+iTDLCFkampqbtQKlnb8FGdkZISGhrL4BQQE9HD0xbQlXZdOp/vmm2/YMC8A/OUvfzl9+lI3jzdCdTW++GIBG8P08PD46quvevhJValUcXFxbPSFTQFfVlZmkpJ63zBXVGBUFFpaIgDa22NMjDH9Y35+/r333vtfNpw1YQIeOdJ6h1qN8fE4eDACoLU1RkVhfb3BS5cSM4aQyc7OFlrB0NDQkx27nKKiIuHHUIMHDzbH8X1DSxIIp8UBwJgxY/bs2WPWkqZPn37Tkhg2+iJsGsLCwrp/vLEltQ8+hYb2tDttbMTY2NbdNysrXLUKhXbSOM3ff48+PgiAcjk++ii2jZ1iZSVGRbUe+fH2Rr3DY32O2UOI12sFKysra2trhQMYNjY20dHRtbW1IhSjX5Kbm9t1u9OuA7NG7GL1vqTrviDHjh0TtiCBgYE//fSTOUvChAR0c2sfzq2txbo6TElB4TwIrRZTUlCtRq0WExNx2LD2VtFkB4YaGzEmBhUKBEBHR4yLax8NO3wYx49HAPTx6bujNWKEkKmurn766adZKyjMnsn6qKKiItHK0Kffnbq7u7/99ttsF6vraXG8StJvmM+ePdv70RejSsJnnmnvTnfvRgB8+unWe5uaEACPHcPbb2+N36RJ2OPjUIY4dw7nzWtdx/jx7d2pRoPvvotJSYiIZ8/i5s342muYmIgqlRmKMAvxQshkZ2d7eHiwT5KPj48wDM2R/tgp2zeTy+UrV64sKSnhVZJ+dzpjxoykpKSlS5eyTYOdnV10dLT4vxfJycE778SJEzEzE11c0Nu79SQEFsLz53HQIPT2xvj49jEUs0hKQl9fBECZDCMjO5ySGx+PgwZhVBS+8gqGhmJgYG9bYbGIHUJE1Gq1b7/99pYtW8Rf9Y3odLp169bJ5XILC4s777yzm9PixCxp27ZtrIdnXYOlpeXjjz9u1p+n3KwkLC/H7Gz08cGtW3HcOFSrW0NYW4tHj4rVDzY24ksvtXanTk4YH4+IqFSiQoHCNl2rxfvvx5UrRSmotziEULLKy8tTUlJ4V9FBTU3NokWL5HK5q6trzw++mxULITst9p132kMotvPncf58BMAXX0RE3LEDJ07s8IDkZPTxEb0sY8hQmpdhIHrKy8vZV6IU5OTAAw9AYSFkZ8OcOZCZCX5+UFsLDg48qtmzB2bPBjs7eP11yMiAH35ov+vsWQgMBJVKitfb6kjq9REAkE4C9U2YAEuXwr//zbWI++5r/cPZGa5e7XAX2zBIPoFgxDVmCBG88gr88gvvIphx4yArq0MO09Lg9tv5FWQACiExnoMDvPEG7yKYkBAIDoZly+DCBWhqgl274M034V//4l1Wj9A+ITFMXR0olRAY2H5LdjYEBoJCwa8mpr4eXn4Z9uyBujoYMwZefBHafpMhcRRCYph9++Af/4AzZ9pvsbWFrCwYPZpfTX0ctaOEcEYhJISzPjCAS6SmqAj0r9KkUvErpV+gEBKDubh0GHdMTeVXSr9AISQGs7GBttPLAQBEnxqvv6HXjxDOKISEcEbHCYlhdDrQaMDauv0WlQqsrUEm41dTH0chJIQzakcJ4YxCSAhnFEJCOKMQEsIZhZAQziiEhHBGISSEMwohIZxRCAnhjEJICGcUQkI4oxASwhmFkBDOKISEcEYhJIQzCiEhnFEICeGMQkgIZxRCQjijEBLCGYWQEM4ohIRwRiEkhDMKISGcUQgJ4YxCSAhnFEJCOKMQEsIZhZAQziiEhHBGISSEMwohIZxRCAnhjEJICGcUQkI4oxASwhmFkBDOKISEcEYhJIQzCiEhnFEICeGMQkgIZxRCQjijEBLCGYWQEM4ohIRwRiEkhDMKISGcUQgJ4YxCSAhnFEJCOKMQEsIZhZAQziiEhHBGISSEMwohIZxRCAnhjEJICGcUQkI4oxASwhmFkBDOKISEcEYhJIQzCiEhnFEICeGMQkgIZxRCQjijEBLC2f8D8swMJfMjZlIAAAJyelRYdHJka2l0UEtMIHJka2l0IDIwMjUuMDMuMwAAeJyVkVtoE0EUhmdnk91curk12dxMslHQICpC1WqpybT1FoXii4hUcB5UVmnjU/sgCMWAhRppRZ8KGhSpmFqkVlRqLmPxWsGgVi0+SAQtvmkpgk/i7kmjUFRw4PB/c5jzz8/Ml+Loe6Qth1YYVddSrZZr1csJiGrK8SYU05THAgE1CETVlef+CdWzIoIG1syqjZqZWFW+egn+T/MaLBoWyYLpwt5BFif/s/4KRTbqyv1O9Re1Ig5xWMG8inkDNRhVbBSoIKpYNCkms2K2xLDZqljrUJ2EJJuKbXZqd6jY4aROl4qt9ajejdweFXtkKnup10d9fhX7AzQQpMElMRwMUX8YhSMooiAlikRMXRINuWlAVnHUh1qNWggBi4LRwAs2u8PpkgSPHAiG3EavHPD7hHBEifr83suc9n2o9q+5r49Zot9F9E33/Ytsa89kQueH2SNs/rMd+pagyiqfjgHPNrrZTHIA+PvNdOncli7gVP5UaXi7BNzR4mXXGwrgIz/ysb7TY3md95UzpfKTnSWd03f2xnsyvQWdn88MlKI3XEznTDnI5va3AH9bnWLTkgO46Vonu9BGYPZlOsumAtlmnQ92P2VHi+uhP9k4xfo6JTh/xnSJXbkXB16prIjHf7QBt+fyia7dHuAH46UEbt8Ds0KhgVhuT0Oe1jVJUnk3CvmHDp8nL2aLwIearhLD0MfNOt+V0mTdqwMw27HrJJmY84Ln4PER8pYkgc+OryX92W3AzR/ekNSzDPjvuDVPlk0MgueJSoXkRhR4t+FNY+T1hlXA8k+AIa9nY3XwjAAAAxZ6VFh0TU9MIHJka2l0IDIwMjUuMDMuMwAAeJx9VluOFDEM/J9T5AIbxY/E9uc+EEJoZyVYuAP/3F+UM7PpRkR0T6zuqOKUy457LiWvby9ff/0u6+KXy6WU9p9fRJSf0lq7vJZ8KE+fPn+5luf3x6ePmee3H9f370W0iGMN7r+xj+9vrx8zVJ7Lw6isTuyFK3sMx6ra5nUs5fJWHrTGIKJeqHYKxg7/AiU9Sh29iVl6VO8hG6DegTyALVJNXVvfAHsCuQr1IC5a1czGbuuRQKqN3aESPDYTahug3YGdB/fk2ExjF7Xftx4i2JGwtZPEBhjlOoFuLVp5AIBp2C5sEJqbE2bNE2rBxLaDEkRvlamNQdPpYBs7ntDlOp2yeNNkwkGxZUpyi0lFu0pmAFR5Gz3dU2RMvffptTfXnfTU79kMc44ZVacmvIPONKGUHAmnBFAob5F2r87o3aeqUDdkK5XfoIKo25hUWyCpO2gktFew45hahTduu1xx5qpVGgJvU6rBsi1mzoOU9SGhNitBpG3PB2eqgAzL+kBMLiCyC58zU1wdkiO/QEJQH9vdteC8V0JO1eFcurNuXWaatA6xzn2yIKWdSJxJ6pW5u2Vp4NSPPUmbHlt0hccMx1SQ4g3Sb0ijgWpLiQxxbTcP1H3PKAxH4CEDU0S0azYNYnK10WK0iYTo2/4lmaBRjTSi384SmO5KCUX7XKwO6tYNGhEKynddRGQCG5uiehgtsaE17YA6xezi7NkSRyClO+Cn68tf3fnWr5/eri9Hv86bj66MlyJH79UcR4fNux99FC9lHN1SMezoiYrhR+cjjDj6G+U4dzFOQ3RqVjRnFjlKdmkWP/QemmZRpGQIQ4slJc38xCyilExhaHGlJAtDiy7Ov6ahxZjitjufTzOl4cUZp1bT8CEo5wxWLc6cosLw4szJGYYXZ07O+SVZnDk5w/DizMkZhhfn/OBOszij8DVn5FzglH5kcZbUGUYWZ0mdYeSog9QZRhZnSc5+qpSpcpwyIclYzurIB+NjVVaFnCPPij3XZ75//BfB8+UPo+OkiG1y8FAAAAGJelRYdFNNSUxFUyByZGtpdCAyMDI1LjAzLjMAAHicNVG7jhwxDPuVlLOA19BbFhaptkl19wFBqumvSXsfH8pGXI05FEXS78+b7z788b5+fj4+rvd/4IGvr1vu69b7euPo46887mb9/vr1h398X8+YYot1yJRVUeP1tFnBLIOnc4kC0RlOuppjy+sgEuFDZ9oyBiJT2YuHTcvMAMKTINkUSuUDuMReRelnJlQDmywX20FWUo0nYZgjdY8xEa3GsoQlx4umMEXw5oVkZB2iwCVEpLiOnKm5DfiF3ImSwh6b5LTsZKlcuvWdSeV0sBBsQB5K0hCKKvdjg6o0N6ZcyNZqVDuTTyhINVSLpL1yqHQmba8Kp51Xy5ujqqQbKaRo8aWYx5zMRV0tIJha6O1lk8pNNitNGS37FPG1YJSZo+dshqb381kxyKC4LjgS5KQFj4ky0nBHWlt9D/bsZ2ClABAz2eq8QmATyC+d3F2CpL7Etpnk3BnSulvvP8mdk83QFCJkUMVGSK3G4/sfJlCMzXlZaZ4AAAAASUVORK5CYII=</base64_image>",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
O=C(CSc1nc2sc3c(c2c(=O)n1-c1ccccc1)CCC3)Nc1c(Cl)cccc1Cl
| 1,632,938 |
{"chiral_centers": 0, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 0, "chiral_center_details": [], "stereogenic_double_bonds": 0, "max_stereoisomers": 1, "potentially_meso": false, "stereochemistry_complexity": "None"}
| 502.448 | 5.9735 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'O=C(CSc1nc2sc3c(c2c(=O)n1-c1ccccc1)CCC3)Nc1c(Cl)cccc1Cl'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 0, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 0, \"chiral_center_details\": [], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 1, \"potentially_meso\": false, \"stereochemistry_complexity\": \"None\"}",
"role": "assistant"
}
] |
Solubility_Prediction
|
CCOC(=O)Cn1cnc2scc(-c3ccc(OCc4ccc(C)cc4)cc3)c2c1=O
| 1,662,958 |
{"log_s": -5.43, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 434.5170000000002, "logp": 4.58, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 4}}
| 434.517 | 4.57552 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'CCOC(=O)Cn1cnc2scc(-c3ccc(OCc4ccc(C)cc4)cc3)c2c1=O'.",
"role": "user"
},
{
"content": "{\"log_s\": -5.43, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 434.5170000000002, \"logp\": 4.58, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 4}}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
Cn1nc(C(C)(C)C)cc1C(=O)Nc1nc2c(s1)C(=O)CC(C)(C)C2
| 654,029 |
{"donors": 1, "acceptors": 6}
| 360.483 | 3.5815 |
[
{
"content": "How many hydrogen bond donors and acceptors are in the molecule with SMILES 'Cn1nc(C(C)(C)C)cc1C(=O)Nc1nc2c(s1)C(=O)CC(C)(C)C2'?",
"role": "user"
},
{
"content": "{\"donors\": 1, \"acceptors\": 6}",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
O=C(c1ccccc1)c1ccc(C=Cc2cc([N+](=O)[O-])ccc2O)cc1
| 797,349 |
{"predicted_classes": ["gpcr_ligand"], "class_scores": {"kinase_inhibitor": 0, "gpcr_ligand": 2, "enzyme_inhibitor": 0, "ion_channel_modulator": 0}, "bioactivity_likelihood": "High", "drug_like_properties": {"molecular_weight": 345.35, "logp": 4.7, "hbd": 1, "hba": 4}, "structural_complexity": "Medium"}
| 345.354 | 4.7018 |
[
{
"content": "What is the bioactivity prediction for the compound represented by 'O=C(c1ccccc1)c1ccc(C=Cc2cc([N+](=O)[O-])ccc2O)cc1'?",
"role": "user"
},
{
"content": "{\"predicted_classes\": [\"gpcr_ligand\"], \"class_scores\": {\"kinase_inhibitor\": 0, \"gpcr_ligand\": 2, \"enzyme_inhibitor\": 0, \"ion_channel_modulator\": 0}, \"bioactivity_likelihood\": \"High\", \"drug_like_properties\": {\"molecular_weight\": 345.35, \"logp\": 4.7, \"hbd\": 1, \"hba\": 4}, \"structural_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
COc1ccc(C(=O)CC(CC(=O)N(CCCl)CCCl)c2ccc(OC)cc2)cc1
| 319,751 |
["GHS06", "GHS08", "GHS09"]
| 452.378 | 4.7567 |
[
{
"content": "List all appropriate GHS hazard pictograms for the molecule represented by 'COc1ccc(C(=O)CC(CC(=O)N(CCCl)CCCl)c2ccc(OC)cc2)cc1'.",
"role": "user"
},
{
"content": "[\"GHS06\", \"GHS08\", \"GHS09\"]",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
COc1ccc(N2NC(C(C)=O)=C3C(=O)N(c4ccc(Br)cc4)C(=O)C32)cc1
| 1,842,727 |
{"molecular_weight": 442.27, "logp": 2.57, "hydrogen_bond_donors": 1, "hydrogen_bond_acceptors": 6, "rotatable_bonds": 4, "topological_polar_surface_area": 78.95, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 442.269 | 2.5674 |
[
{
"content": "What is the drug likeness assessment for the compound represented by 'COc1ccc(N2NC(C(C)=O)=C3C(=O)N(c4ccc(Br)cc4)C(=O)C32)cc1'?",
"role": "user"
},
{
"content": "{\"molecular_weight\": 442.27, \"logp\": 2.57, \"hydrogen_bond_donors\": 1, \"hydrogen_bond_acceptors\": 6, \"rotatable_bonds\": 4, \"topological_polar_surface_area\": 78.95, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
Reactivity_Prediction
|
O=C(CCC(=O)OCc1ccccc1)Nc1cccc(C(F)(F)F)c1
| 1,010,092 |
{"charges": {"O": [{"atom_idx": 0, "charge": -0.275}, {"atom_idx": 5, "charge": -0.252}, {"atom_idx": 6, "charge": -0.461}], "C": [{"atom_idx": 1, "charge": 0.224}, {"atom_idx": 3, "charge": 0.054}, {"atom_idx": 4, "charge": 0.306}, {"atom_idx": 7, "charge": 0.116}, {"atom_idx": 9, "charge": -0.056}, {"atom_idx": 10, "charge": -0.062}, {"atom_idx": 11, "charge": -0.062}, {"atom_idx": 12, "charge": -0.062}, {"atom_idx": 13, "charge": -0.056}, {"atom_idx": 17, "charge": -0.06}, {"atom_idx": 19, "charge": 0.058}, {"atom_idx": 20, "charge": 0.416}], "N": [{"atom_idx": 14, "charge": -0.326}], "F": [{"atom_idx": 21, "charge": -0.166}, {"atom_idx": 22, "charge": -0.166}, {"atom_idx": 23, "charge": -0.166}]}, "dipole": 3.51, "steric_hindrance": 2.4}
| 351.324 | 4.1675 |
[
{
"content": "Determine the reactivity prediction of the chemical structure 'O=C(CCC(=O)OCc1ccccc1)Nc1cccc(C(F)(F)F)c1'.",
"role": "user"
},
{
"content": "{\"charges\": {\"O\": [{\"atom_idx\": 0, \"charge\": -0.275}, {\"atom_idx\": 5, \"charge\": -0.252}, {\"atom_idx\": 6, \"charge\": -0.461}], \"C\": [{\"atom_idx\": 1, \"charge\": 0.224}, {\"atom_idx\": 3, \"charge\": 0.054}, {\"atom_idx\": 4, \"charge\": 0.306}, {\"atom_idx\": 7, \"charge\": 0.116}, {\"atom_idx\": 9, \"charge\": -0.056}, {\"atom_idx\": 10, \"charge\": -0.062}, {\"atom_idx\": 11, \"charge\": -0.062}, {\"atom_idx\": 12, \"charge\": -0.062}, {\"atom_idx\": 13, \"charge\": -0.056}, {\"atom_idx\": 17, \"charge\": -0.06}, {\"atom_idx\": 19, \"charge\": 0.058}, {\"atom_idx\": 20, \"charge\": 0.416}], \"N\": [{\"atom_idx\": 14, \"charge\": -0.326}], \"F\": [{\"atom_idx\": 21, \"charge\": -0.166}, {\"atom_idx\": 22, \"charge\": -0.166}, {\"atom_idx\": 23, \"charge\": -0.166}]}, \"dipole\": 3.51, \"steric_hindrance\": 2.4}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
O=P(OCC(CCl)(CBr)CBr)(OC(CCl)CCl)OC(CCl)CCl
| 47,815 |
582.31
| 582.308 | 5.8517 |
[
{
"content": "Calculate the exact molecular mass for the molecule represented by 'O=P(OCC(CCl)(CBr)CBr)(OC(CCl)CCl)OC(CCl)CCl'.",
"role": "user"
},
{
"content": "582.31",
"role": "assistant"
}
] |
Solubility_Prediction
|
CNC(NC)=S(=O)=O
| 128,040 |
{"log_s": 2.04, "solubility_mg_ml": 15.0138, "solubility_category": "Highly soluble", "contributing_factors": {"molecular_weight": 136.176, "logp": -1.61, "oh_groups": 0, "nh_groups": 2, "cooh_groups": 0, "aromatic_rings": 0}}
| 136.176 | -1.6083 |
[
{
"content": "Determine the solubility prediction of the chemical structure 'CNC(NC)=S(=O)=O'.",
"role": "user"
},
{
"content": "{\"log_s\": 2.04, \"solubility_mg_ml\": 15.0138, \"solubility_category\": \"Highly soluble\", \"contributing_factors\": {\"molecular_weight\": 136.176, \"logp\": -1.61, \"oh_groups\": 0, \"nh_groups\": 2, \"cooh_groups\": 0, \"aromatic_rings\": 0}}",
"role": "assistant"
}
] |
Molecule_Visualization
|
CCc1ccc2[nH]c(=O)c(C(c3nnnn3C3CCCC3)N3CCCC(C)C3)cc2c1
| 1,148,151 |
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</base64_image>
| 420.561 | 4.0134 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES 'CCc1ccc2[nH]c(=O)c(C(c3nnnn3C3CCCC3)N3CCCC(C)C3)cc2c1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Molecule_Visualization
|
Cc1cc2oc(-c3ccccc3)c(OCC(=O)Nc3ccc(Oc4ccccc4)cc3)c(=O)c2cc1C
| 1,650,480 |
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</base64_image>
| 491.543 | 6.88664 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'Cc1cc2oc(-c3ccccc3)c(OCC(=O)Nc3ccc(Oc4ccccc4)cc3)c(=O)c2cc1C'.",
"role": "user"
},
{
"content": 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uHRo43n/ccfcf58XLAAr17FhgacOxeDg0WvqqQ6Wgh/+gk3bWr8+vvvcds2FcqIj49nT7dGjhx579491Xbz/YPaWrx0Ca9d+8Nt4ejRKpb2PJmZmQAwYfDgwry8GFfXEicnlPKJC9tl9csvv5Si8Li4OHYuRo0aVVBQwF58YgDAa336IABaWqKvL4aFYTOXzT17EAB1dRt7azqIjhbCmhqcPh2//hrXrUN3d5WHidy5c4e1Cfv375+amtry3Xz/oKoKw8LwnXfQygplMrx6FadNa/ynR49w/HjV6vZc+/btAwAPD4/Dhw+zy4hEB2KcnZ0BICIiQqLyMzIyBgwYwNrn33//va+vr5mZmdDr079//xUrVtRevowKRYuKCwhAAJTJ0N9fogqLrqOFEBGTkjA2Fq9exfp6dYrJy8uzt7cX2oQBAQHsMddTd/P9g/Jy3LsX//QnNDL63z3SkCF4+TIuXozffIMXL+K8eXjoECJiYaE6lXyqv/71rwDw1VdfffbZZwCwatUq0Q8hqK2tNTAwkMlkJSUl0h3l/v37w4cPl8lkwpNGYQCAooXZU7ZzJ+rqIgC+/76I9wjSDfDogCF84QXs1Amzs9Uv6dGjR8ptQmE334ULF9bV1T3xzYW/DwCoGTCgMXgyGY4ahQEBKOzdq1Dg0aP4/fd4/ToiYkAAdu+O8fHqV1XZmDFjACAyMnLChAkAEBYWJm75yuLi4gBg0KBBEpVfWlp67949RLx69Sob0hQQECDCXsi//IIGBgiAM2diVZU6JbHzbmtr27Vr101CU0hUHS2Ed+8iAHbr1tKbk+epqalRbhM23c23oKCADYMUtky77OqKY8diQAA2/2yjoQGnTEEA7NIFxRsyLlyaiouLWa+G8qgU0X333XcAMH/+fInK37FjBwAsXbp09+7dADBz5kzRij5zBk1MKg0MPvb1fWqvT/OanncA6NSpU7AEvT4dLYTBwQiAU6eKWKRCofjoo4+ENuG5c+fYjJvBgwcrb5mmp6fn7u6+ffv2Vjzfr6trHOGppyfWAOsrV66wu7XExEQ2ZlqUYp/F19cXALZu3SpR+YsWLQKAzZs3L1u2DADUfXz/hGvXFk6eDAAjRoxo4UdVVlYWG4InnHe5XD527NjVq1fPnDmT/a/ov42OFsJPPkEAXL1a9IK/+OIL9ktfs2ZNUlKSubl5r1694Pc964OCgkqfNgDg+RQKXLGi8d51wwb167llyxbWK7Nx40YAmD17tvplNoONjLl69apE5Q8ZMgQAYmNjR40aBQBnzpwRt/zMzEz2I/Tt27eZu9ynDn994rzn5uYGBga2tOOgNTpaCF1cEACPH5ei7B9//LFTp04//PADIk6aNImNrXn8+LEIRa9bhzIZAjSsWqVKT8PvkpKS2Jwg1nwCgG+++UaE6j1DaWmpTCYzMDCQaLD7w4cP5XK5vr5+eXm5vr6+XC6XYjRvUVERm0favXv3Jz5N2PDXwYMHNx3++sQd7Pr1642NjU+ePBkUFMRuUBcsWNC040A1HSqEdXVoZIQymXQDI9iHpUKhYHvFZGVliVb07t3YqdOH48e/9dZbrfqbZg+sP/zwQzY1lhE+sLdv3y5aDZs4fvw4AIwbN06i8k+dOgUAo0ePvnTpEgAMGzZMogNVVFS4u7uzT64TJ05ER0evXLmSPRdhunXrxobgVT9t4IdCoZg9ezbrOAgJCQkLCzM0NAQALy+vSjHmUneoECYkIAC++KLUx0lPTwcAKysrcYtNPXmSnTxPT8/nnrzmZ6w/evRo1qxZ7JM7PDxc3HoKVq9eDQCffPKJROV//fXXAODn5/fNN98AwJIlSyQ6ECLW1NSwILFTwPTs2fODDz44ffp0/fMedykUio8//lhoE8bGxrKPaScnpyK1LwkdKYR3goIeDxrUIFlPnWDPnj3sc070kq9cuWJpack+/guf9ghRmLHOvo0RZqwr38oK04LkcvkP0gwQmTp1KgBI0R/IeHl5AcCePXtYPCT6KQQNDQ3Dhw83MTHp3r17099nSyi3CW/evMl6DV5++eUcYSaHSjpSCOfPnw8A//nPf6Q+kJ+fHwB8/fXXUhR+69atpmuuPLECACM8sH5WUcrTgvzFHiCiUCjMzc0BQLqFYYTJGWwFysTERIkOJGAtanWm9gcFBbGHyQsWLMjOzh46dCgA9O7d+/bt2yqX2ZFCOGjQIACIF/vZd1OOjo4AcOrUKYnKZwNEAMDa2vrtt9+eNm2a8ox1R0fHVj2w3rx5s46Ojkyms2ZNmkhPTxERU1NTAcDGxka0Ev9ImJyRl5cHAF26dHnuPaGaKioqdHV1O3XqVFZW5u3tvU7VBUGU24T3798fO3YsqLdsR4cJYWlpqY6OTufOnVWYvdYq1dXV+vr6Ojo6ks67Z2uuCA+jhBnr6enpKpS2b9++iRNjAHDevOaGN7eK8tPze/fu/eMf/xB33Nb+/fsBYPr06UeOHAGACRMmiFj4U505cwYARo4cyVa+fPnll1UuSmgTjh8//sGDB9OnTwcAIyOjY8eOqVBahwlhREQEADg7O0t9oJiYGAAYMmSI1AeqrKycPHly3759N27cKEwgUNmpU9i1KwLgxInPnVb5HOnp6evXr+/Vq5eOjo6vr69CoRg5ciQA+Pj4PLXzUDVsgMSXX375+eefA8Bnn30mVsnPEhAQAADLli3bvHkzACxcuFCd0pTbhFlZWWwFENWW7egwIfzyyy8BYPny5VIfKDAwEAAWLVok9YFEFx+PVlYIgKNGoQqhTkxM/OKLL9h9MtO5c2e5XL59+/aYmBjWPnR1dRVrwUg2OePkyZMTJ04EgMOHD4tSbDPYkJfdu3f/+c9/BoBtKs2DU5abm8vahH369Ll165bQPm/tjW6HCSG74h84cEDqA82ZM0fq52/SycjAgQMRAPv3x5bc2CoUeOUKrlr1T+U1Y0xMTObOnXvo0KGvvvqKvbJy5cqkpKSePXuyewQ25FodwgjYoqIiExMTALh//76aZT7XCy+8AACpqan9+/cHgOtskL16SkpKhDbhpUuXNm3axLpPJ0yY0PK7944Rwvr6evGfnj9Dv379AODGjRtSH0giDx7gK68gAPbogRkZT/+ehgaMjsaVK5FNCBk5cio844G1MLPk/fffv3PnzksvvQQAffv2TVFvXTNhckZSUhLrXVSntJa4e/cu+xkLCwtlMpmRkZFY410qKiqmTZsGAMbGxsnJyatWrWL3pS3vvGjXIRQeWFtbW5ubmxsbG1+6dEnSIxYUFLAWtlhniItHj3DyZHRzw7VrMSgIEbGgANetw5oaPH4clyxpvGtl//XsiV98cfHMmTPP6pw8fPiwMLPk/v377Daye/fu6nRTs8kZCxYs2LlzJwC8+eabKhfVQsHBwQAwderU8PBw1qEiYuH19fWLFy+eM2dOQ0PDsWPHAGDAgAEtf3t73BCmqqoqIiIiNDT0119/LSsrYy+amppWVFRMnjz50KFDbBKgFFi/maOjI/v476CMjSEsDOrqwM8PwsLgtdegvh6Sk2HIEEhLa/yeAQPA2xu8vcHREWQy52ZK8/LyOn78uJeX1+HDh8vKykJCQhYtWnT8+HFXV9eQkJApU6aoUMPS0lJDQ0NHR8c226JHOJAUR2Qt5/r6eh0dnfj4eADw9PRsxftF/DxQU/MPrOvq6ti0Fz09vT179khUh7///e8A8Le//U2i8tvY229jeDjOnYt37+L8+bh4MdrZ4cqV+Ozn/8+k3CbMyspauHAhOxf7VJ2iVVdXV1lZyfqB2mBh/HHjxgHA8ePH2Sf4IbbugQRY58X+/ftb/hb+ISwuLmazJ4UH1ix7/v7+ypuH7N+/PzU1VeiAYjuNiO61114DgF9++UWKwtve229jTg76+TWuSKbmE9bMzEyhTXj79u0VK1awc7Fx40YVSissLGTNJx0dHVGGQTejrq7OyMhIJpMVFhayBWzU71t6FrZuVas6L7iFsOnM5WYeWJ86dUpXV9fKyio+Pj4wMFBYN1adaUFNKRQKdoZyc3NFLJYjFsKyMhwxAkUZcltcXMwW1+jevXtCQoIK56Lpee/fv78INWsWWzvjxRdfvH37NgD07NlTogNlZGRA64f+t3UIExISFixY4OTkJEzG0dPTmzp16vbt25t5YF1RUcEGExsZGR0/fvznn39mp9DX11fEqW7Jycnsz0usArlbsaJxr4D9+1GsuRDCuWDTgnbv3s3OxVtvvdVMb1Z6evq6deuanvd3331XuouSYOvWreyvZdeuXQAwa9YsiQ7Ehv6//vrrrXpXm4awtraWLboMrZ+xXldXJ7RD9u7dGxUVxZqOHh4e4sy7/f0xPQCIPhial//+F9n2EJWV2KrFHJunfC727dt39OhRQ0NDU1PTphsKJCUlBQQEKM9YNzAwUGulApWwof/ffffdu+++CwAStWXw96H///rXv1r1rjYN4YULF+D3oT0qJEehUAjtkA0bNgjTghwdHZ86Lajl2AxrtpET+3P54IMPNGAPQy+vxvnPpaXo4SFmyQqF4tNPPxXahDExMcpLmLPfJxtwzzxrxnrbYDWJi4tjGx+cP39eogOxTtfWDv1v0xCypbXmzJnz8OFDlYfMK7dD0tLS2OiHwYMHZ7dyEcT6+vqzZ8/6+fkpz1jX19dfu3Ytu1zPmjWrSr3V8rjz8sKoKIyLwzNnRA4hI5yLFStW1NXVNZ2xbm5u3syM9bZRVlbGhv6XlZV16tRJLpe3ZPcoFag89L9NQ8gGuQYGBvr5+XXp0mX37t2qlaPcDsnOzn7llVcAwMbGpiUDkZ46Y71nz552dnbsKr1r164zZ86wsVQTJkzowHsYInp54dq1uHkzBgRIEkJE3LVrF3umKpfLhd9nr169/Pz8zp49K/XspJYQhv5HR0cDwCuvvCLRgWJjY0GlyRltGkI22jUmJoZN2Dt9+rTKRUVGRgptwvv377OnQGZmZs+aAstmrPv6+rLlDJknZqyzUfZsguyNGzfYUEMHB4eOuoehlLejyrZu3coSaGtrq9qMdUn5+PgAwNy5c/Py8rZv3/6TZHsYsskZKgz9b7sQsqW19PT0ysrKRJmwp7xURG5u7p/+9CfW36P8HLa1M9a/++474V43PT194MCBbra2tSNHPmed3/aqbUKIiNeuXVPnI1VSrq6uAGBhYaH+fLHmsckZKgz9b7sQnj59mnWisAl7Q4cOVb9MYamIwYMHZ2ZmLl26lN0XffPNNy0ZAPBUT+xh+NjdHQHQxgZ/+039Crcx5ZvBdnBjyMf58+fZR/CgQYNa23HQKipPzmi7EK5du5b1OrInAYsXLxalWGGpiB49evz2229s3Jlw3WMDAAIDA1u1FA+71+3VtWuJry/m5TWuZm9s/L+tEUmH8uDBA6Hj4DdpPkyLiopUnpzRdiGcMWMGAPz8889swt6OHTvEKpktFQEA8+bNQ8QxY8bI5XJ7e/sdO3aofAcSHx9f4OraOEP23j2cPRsBUF8fpZ/QSKTw6NEjNibR1NRUikcUbHKGq6urCu9tuxD26NEDANLS0vr27QtiT9irrKz8/PPP2bNH0VZuv3OncYZsv36Ymooff4wAKJejZBszEElVV1e/8cYb7EGUKOs45ufnb9u2jf3V/eMf/wBVl8dvoxBmZ2ezp0b5+fkg5dJaIq/cnpeH9vYIgNbWeO0arlmDMhnKZKLvdkbaRn19/V/+8hfWcaDy8hZ3797dtm2bh4cHezYTGhqKiGxyBvu6tdoohGzf82nTpv36668A4ObmJtGBxF+5nc2QBUBTUzx3DnfswK++Eq1wwgN7FtXaC1dKSsratWtHjhz5xKYx586dq66uZvOeVRsH20ZTVyWdUvnUA4lWIpshO28ehITAlClw6RLY28ONG7BnD8hkMHcuDB0q2rFIm1i5cqWVldU777yzbt26ioqKb7/9Vlh7sqmbN28GBweHh4cnJCSwVwwMDCZOnOjj4+Pp6cn+dcaMGVVVVfr6+uzZcqupEMu8qTMAAAdpSURBVFwVsMVwIiIi2G5H0k3Yk2rldoUCly9HLy+sr8f0dJwwAbOzMSsLXV2fuZALad9++eUXdvmaOXNm0/GJbPgrmz/JmJmZ+fj4BAUF5efnHzp0aO7cucoDPzp37hwYGKhaTdoihLW1tYaGhmxzWVZviSbsCbspSbVyO+t9XrsWhQ+RQ4dQ3H0tSRs6e/YsG5/o5uYmDB05cOAA60RkrK2tly5devLkybKyMhW2KmiJtrgdvXHjRmVl5UsvvZSXl1dWVmZra6v8Q4ooPT29qKjIxsaGrcoqPrbwzMOHYGLS+IqZGZSXS3IsIr3x48dfuHDB3d39zJkzLi4uJ06c6NGjh4WFxf37921tbWfMmOHp6Tl06NCIiIhvv/02MjKypqaGvdHOzs7Hx2f27NnKM0VU1hYhZO00Jycn4QupDyRR+Y1eeQViYsDNDQDg4kUYMULawxEpDRky5MKFC1OmTElMTHRxcYmIiHj11Vfj4+OtrKyOHz++efPmiIiIuro6+H3fbB8fn1mzZrHldsTSdiHskL0yTzVrFixaBIsXAwAoFPD559IejkisT58+ly5d8vT0ZFMLnJ2di4qK4uLiEBEA9PX1p02b5u3t7eXlxRo74hPhzvp5WOs2ISGBLXiu5g10MyTa9/zpHj5Ud88H0p5UVFSwuTiMsAKAWMv+N0OGiJKEGwARr1y5cuDAAdYFXFpaamRklJWVZWNjozyuWizV1dUmJiYNDQ0lJSVdu3YVvXyi8SoqKubMmZOTk/PRRx+98cYbrO+0DYgfQoVCcenSpfDw8JCQELb4lJ6eXm1t7aRJk0JDQ5V7lsQVExPj7Ow8bNiw69evS3QIQqQgWpuwtrb21KlToaGhR44cKSwsZC+yLqYRI0asWrUqKirKzc3t2LFjbGFG0bF5zW2wljMh4lI3hFVVVVFRUcHBwcpL1vft29fT09PHx0dYZmv8+PFTpkxJSEhwcnKKiIgYOHCguhVvos0WVCdEZKo1JVXYY72oqIg9PLC2thZhikMTbN/zpKQk0UsmRFKtC2FRUdGzZqzfvn37uW+vqKhwd3cHAGNj44iICFXrjIhYXV0dHh6+cOFCtm2o1JMzCJFOK0J469YtYUUtuVzu5ua2ZcuW1g4br6mpYZN69fT0WrVpBlNZWcmuwCa/j1kxNzevq6trs33PCRFdK0KoUCj69evHVot4wFZXV4lCofjkk08AQCaTbdq0qSVvKSkpOXjwoK+vr7Gx8RNX4Pj4+LS0NDZOzdfXV+VaEcJL625HRdw6MzAwkPXZNDOnS7j7ZWtjA4COjo6Dg4O/v39KSoqwxLoQS5WHsRPCEc+t0YKCgtgavgsWLFCOd3Z2dmBg4KRJk4SdOtmwPbZeU2xs7IoVK5SXeTY1NZ06derXX3/d8g2KCWk/OO9PGBYWZmhoCABeXl5sk7r6+vpu3bqxdHXu3NnT0/PHH38sKChgy2YrD5wVllin7JEOTcJhay10+fJlDw8P9gAjPDzc3Nx82bJlhYWF3t7eU6ZMSUpKCg4OPnjwYF5eHvv+Xr16TZ061cPDY+rUqR16U2tCGP4hBIDk5GR3d/ecnJyXX375xIkT5ubmbABAWFhY+e+z9ZoOACBEM7SLEALA3bt33d3db926ZWZmVlNTU1lZyV4fPny4t7e3t7f3kCFD+NaQEIm0lxACQGlpqYODg0KhyM7OZjOX58yZo7zIByEaqR21qczMzKytrWNiYvbu3cse6BOiDdrRlbCurs7ExKS6urq4uNjMzIx3dQhpI89cbrHtXb9+vaqqatCgQZRAolXaUQhpQiDRTu0ohDQhkGgnCiEhnLWXjpmSkhILCwsDA4Py8nIaB0O0Snu5El6+fBkRHRwcKIFE27SjEEIbLJ5NSPvTvkJIDUKihdpFmxARLS0ti4uLc3JyxF3ln5D2r11cCdPS0oqLi21sbCiBRAu1ixCye9ExY8bwrgghHLSjEFKDkGgnCiEhnPHvmBF2UyorK1Ne0ZAQLcH/Snj16tXa2tohQ4ZQAol24h9CuhclWo5/CK2trcePH//qq6/yrgghfPBvExKi5fhfCQnRchRCQjijEBLCGYWQEM4ohIRwRiEkhDMKISGcUQgJ4YxCSAhnFEJCOKMQEsIZhZAQziiEhHBGISSEMwohIZxRCAnhjEJICGcUQkI4oxASwhmFkBDOKISEcEYhJIQzCiEhnFEICeGMQkgIZxRCQjijEBLCGYWQEM4ohIRwRiEkhDMKISGcUQgJ4YxCSAhnFEJCOKMQEsIZhZAQziiEhHBGISSEMwohIZxRCAnhjEJICGcUQkI4oxASwhmFkBDOKISEcEYhJIQzCiEhnFEICeGMQkgIZxRCQjijEBLCGYWQEM4ohIRwRiEkhDMKISGcUQgJ4YxCSAhnFEJCOKMQEsIZhZAQziiEhHBGISSEMwohIZxRCAnhjEJICGcUQkI4oxASwhmFkBDOKISEcEYhJIQzCiEhnFEICeGMQkgIZxRCQjijEBLCGYWQEM4ohIRwRiEkhLP/B3c2ZnybFLqIAAACj3pUWHRyZGtpdFBLTCByZGtpdCAyMDI1LjAzLjMAAHice79v7T0GIBAAYiYGCFAFYk0gbmBkY0gA0ozMbA4aQJqZhc0hA0QzM8IEOCA0E0IBhkJiGFDDGKCGgW1lAtKo4uwMYA1MjPhsQTOKPPeQYSxUABpg3AyMDIxMGUxMzAnMLAksrAmsbAps7BlM7BwJHJwZTJxcCVzcGUysPBlMPLwKvHwMfPwM/AIaTPyCCoJCCkLCGUzCIgkiohlMomIKYuIK4hIZTBKSCZJSGUxS0gnSMkBx2QRZOaBm+QR5BQ0mecUERaUEJeUMJmUVBmXGBEXmDCZutgQ5oQQZ8QQnVqCL2BiVlRSB7mZh5ZFXZGZj5+Dk4mZjExYRlZUTYpOQlJKWERc/xgh0OQMsDdy6K3zQ94zTARDnB8evA4q5qmB2w/P3Byp0+/eD2IdNDh2wv6cBZnsJ7zgQUu1nD2L3JnQdYP6zEMwWtW84kHZFzwHE3iChemCysQ+Yvf+qwIE/LFPBbPcf4QdmOGwFsx+sm3mAaeIyMDvywuID873zwezJ83wPuJu12IHYRkVP9l+dbg423yVKZ79015R9IPYia0f7Cfd0wGq2KHfaz/G4CFbz8NE7e7ulYWB3vroW5CAVeAisfuefHocdTRvB4mXrdzns68gFs99fOOJw9QInWO/q5k8O7b71YHYFF7fjrWvKe0Ds3T9ZHcu/7AGrjz0k7ljyUQ4cPntm6zl6TGIEsyvWGDv2vOcDq7n2WNFxza2nYLetsl/ocOfaUbCZtyXTHZolusHsloeJByzmzwKr/7NP6sCVY7xgc+oXzzswIfYqWPz7kRUHdFs9wOJbyq8diHySCmbrznxwIP7uQjBbDAAFqcjEsyHnGwAAA116VFh0TU9MIHJka2l0IDIwMjUuMDMuMwAAeJx9VluO3DYQ/J9T8AJD9JvsT++uYRiBZ4FkkzvkP/dHqiUsNYaZSMOGhiqxi9UP6dbq+P3tt7//aeuQt9utNfqfX2a2v5SIbj9aXbSXr9++P9rrx5eXz5nX9z8fH380Hc0Yz+D8Gfvl4/3H5wy313bPLsYR2u7ayXQIHul0HNezUsjRJ6unt7t0nzZmbJB6Ii0HUbY7d+bpwzdIK2R0ipmgeqcenlGkf0F6e29378NFvVaaFB65AUYtaV3FBOS4S7iTboDjBBIN0GzSh/Jg2wBnAbHdkaHStHNS2NwA8wRKKFk0w2Zi+g7IVEjtOswlm/fApnUnEPPJcpJ4DiCFXGgnEB/xcWidPBU0h87MXSBZT+/CMqk2LD5Fxg5ppTr3gUgf9AYkiq13rzURv6HiUleSxLzLDq4IYSm3edznmJO3Kg14506ICgkuQp1kC5ztgfszQlAc8D11mu+SgytE2HmaxiikjnTZCS8VIutGPp1KA52BIOyQFSKHT00+vKegLHY8pUIUnZ380N11qu1SUxQ7H8g4lE3dzxwydgGSKqDZI4k8yjfxCfgV6QdSh9o49mMjhHehlIpPdpuWFUnBldrceq8SYtBjJagAKIm5b3dURcSoRsmgQ3n3/9p8nquiabCUTGYzdVeY1eqgPGmSVIK4efAu7MpH2IMpwQ4phVTZdy45SwNVieopmYRGzq3zilGpwyNrR6h7dtkWh9pZxOmo91mrRkRuc179rGIZRmZFhVV5m/UaZ/Mc0B7FX6xTKHYpquPsyMQzctb6SGsZO/W/Pt5+ej+cb4yX98fb9caoU67XgmHo1futxtXg6/Sri+NPi6tXM8a4OrJhzKvvGkZe3dUw+LmJWhnmp2ZpZXiR42IHL4seeh8fZjFEj+PDLJLoZXyYxRN9SsrwoorexMfMYotw8mEWYS7GMPLcVKyMLMpSlGHk0lNKXUEPeOoGXEYWZylRYWRxllIWRhZnlLGVkcVZSl8YWZylJIaRxVmKM7zrc5FZO2roqZqsNNTFGWUjZfRKgyMPMLM4a3GG0cVZizOMLs5aCQGji3N9w9TM5Wqey1zrHirLlUV2EOanQNghcj4JWFn+nNP1//MLCte3fwE7pcYx63qLzgAAAap6VFh0U01JTEVTIHJka2l0IDIwMjUuMDMuMwAAeJwlUsuNKzEMa2WPCeAx9P8g2FPub4uYAl4DW/xSzhwGNiVRFOX3zfct9+O++f28H98/+P2833P4NyHcbr3n0ydyEL0OPOf/8vX7uHqLccS6dJNpynpduYvVe12yvSz7QNZJvC7ezOUFKDZFta2LdniHMTDb7WkxaRHRQ+Zb0siGn1VZT2WSMA/kLRSHn7hyIZu8JIEgJq09VELZ01G2cTaPLmGXOFnCUou2oOzU8U5oNkDJyTGqIDBVXEaqNDGjEmG3wok2RxWDnzcl24J0ddK5V4ROUWkZ/HihW8OjgTTbxdfLtkGxj0ytAIsjW/v0askDxWYnRyfXUgNzbs/yBNKdkpBdO5rgBKqIej4fUFMth9syBKP0tjKExgpQQRKDA6YCIDFHEcMv6cPk/mmHHCyN0c6sWm1EkjYJZnXzkJksmEAMDzB0n1WqmDQQieEFQASpslNh7FmHZ8MgLLYp/CASikkNLyLqsx9Nc12O92Bn+baLsDo8C/LP+2Bu2K/gre6DpIuOXwVaiHn+/gGZbpkLyO3iwAAAAABJRU5ErkJggg==</base64_image>",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
Cc1ccc(NC(=O)COC(=O)CCCN2C(=O)c3ccccc3C2=O)cc1
| 1,662,486 |
[2-(4-methylanilino)-2-oxoethyl] 4-(1,3-dioxoisoindol-2-yl)butanoate
| 380.4 | 2.55312 |
[
{
"content": "Provide the systematic IUPAC name for the compound 'Cc1ccc(NC(=O)COC(=O)CCCN2C(=O)c3ccccc3C2=O)cc1'.",
"role": "user"
},
{
"content": "[2-(4-methylanilino)-2-oxoethyl] 4-(1,3-dioxoisoindol-2-yl)butanoate",
"role": "assistant"
}
] |
Functional_Group_Identification
|
C1=NCCc2ccccc21
| 76,705 |
{"phenyl": 1}
| 131.178 | 1.6616 |
[
{
"content": "Determine the functional group identification of the chemical structure 'C1=NCCc2ccccc21'.",
"role": "user"
},
{
"content": "{\"phenyl\": 1}",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
O=C1CCC2C(=O)N(CC(=O)N3CCCC3)C(=O)C2C1
| 1,910,055 |
{"predicted_classes": ["enzyme_inhibitor"], "class_scores": {"kinase_inhibitor": 0, "gpcr_ligand": 2, "enzyme_inhibitor": 3, "ion_channel_modulator": 0}, "bioactivity_likelihood": "High", "drug_like_properties": {"molecular_weight": 278.31, "logp": -0.04, "hbd": 0, "hba": 4}, "structural_complexity": "Medium"}
| 278.308 | -0.037 |
[
{
"content": "Provide information about Bioactivity_Prediction for the molecule with SMILES 'O=C1CCC2C(=O)N(CC(=O)N3CCCC3)C(=O)C2C1'.",
"role": "user"
},
{
"content": "{\"predicted_classes\": [\"enzyme_inhibitor\"], \"class_scores\": {\"kinase_inhibitor\": 0, \"gpcr_ligand\": 2, \"enzyme_inhibitor\": 3, \"ion_channel_modulator\": 0}, \"bioactivity_likelihood\": \"High\", \"drug_like_properties\": {\"molecular_weight\": 278.31, \"logp\": -0.04, \"hbd\": 0, \"hba\": 4}, \"structural_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
Cn1c2c(c(=O)[nH]c1=O)C(c1ccc(OCc3ccccc3)cc1)C1=C(N2)c2ccccc2C1=O
| 1,371,734 |
{"donors": 2, "acceptors": 6}
| 463.493 | 3.8176 |
[
{
"content": "Identify the number of H-bond donors and acceptors in the compound 'Cn1c2c(c(=O)[nH]c1=O)C(c1ccc(OCc3ccccc3)cc1)C1=C(N2)c2ccccc2C1=O'.",
"role": "user"
},
{
"content": "{\"donors\": 2, \"acceptors\": 6}",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
CCSCCCl
| 12,733 |
1-chloro-2-ethylsulfanylethane
| 124.636 | 1.9783 |
[
{
"content": "What is the IUPAC name for the molecule with SMILES 'CCSCCCl'?",
"role": "user"
},
{
"content": "1-chloro-2-ethylsulfanylethane",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
N#CC1=C(N)Oc2n[nH]c(-c3ccccc3)c2C1c1cccc(OCc2ccccc2F)c1
| 978,879 |
438.46
| 438.462 | 5.01298 |
[
{
"content": "What is the molecular weight of the compound with SMILES 'N#CC1=C(N)Oc2n[nH]c(-c3ccccc3)c2C1c1cccc(OCc2ccccc2F)c1'?",
"role": "user"
},
{
"content": "438.46",
"role": "assistant"
}
] |
Molecule_Visualization
|
CCC1(c2ccccc2)OC1(c1ccccc1)c1ccc(OCC[N+](C)(C)[O-])cc1
| 63,067 |
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</base64_image>
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[
{
"content": "Determine the molecule visualization of the chemical structure 'CCC1(c2ccccc2)OC1(c1ccccc1)c1ccc(OCC[N+](C)(C)[O-])cc1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCCc1ccc(Oc2nc(-n3nc(C)cc3C)ncc2C(=O)OCC)cc1
| 1,979,035 |
380.45
| 380.448 | 4.20064 |
[
{
"content": "What is the molar mass of the substance with SMILES 'CCCc1ccc(Oc2nc(-n3nc(C)cc3C)ncc2C(=O)OCC)cc1'?",
"role": "user"
},
{
"content": "380.45",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CC(=O)Nc1c(Cl)cc(Cl)c2ccc([N+](=O)[O-])cc12
| 540,788 |
299.11
| 299.113 | 4.0132 |
[
{
"content": "Determine the molecular weight (in g/mol) of the chemical with structure 'CC(=O)Nc1c(Cl)cc(Cl)c2ccc([N+](=O)[O-])cc12'.",
"role": "user"
},
{
"content": "299.11",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
CCOC(=O)c1c(NC(=S)NC(=O)c2ccccc2)sc2c1-c1cccc(OC)c1OC2
| 1,251,119 |
ethyl 2-(benzoylcarbamothioylamino)-6-methoxy-4H-thieno[2,3-c]chromene-1-carboxylate
| 468.556 | 4.6196 |
[
{
"content": "What is the correct IUPAC systematic name for 'CCOC(=O)c1c(NC(=S)NC(=O)c2ccccc2)sc2c1-c1cccc(OC)c1OC2'?",
"role": "user"
},
{
"content": "ethyl 2-(benzoylcarbamothioylamino)-6-methoxy-4H-thieno[2,3-c]chromene-1-carboxylate",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
Cc1ccc(-c2ccc(C=C(NC(=O)c3ccccc3)C(=O)NCC3CCCO3)o2)cc1
| 1,259,196 |
N-[(E)-1-[5-(4-methylphenyl)furan-2-yl]-3-oxo-3-[[(2R)-oxolan-2-yl]methylamino]prop-1-en-2-yl]benzamide
| 430.504 | 4.32112 |
[
{
"content": "What does IUPAC call the chemical with structure 'Cc1ccc(-c2ccc(C=C(NC(=O)c3ccccc3)C(=O)NCC3CCCO3)o2)cc1'?",
"role": "user"
},
{
"content": "N-[(E)-1-[5-(4-methylphenyl)furan-2-yl]-3-oxo-3-[[(2R)-oxolan-2-yl]methylamino]prop-1-en-2-yl]benzamide",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
[O-][I+](O)(O)(O)(O)O
| 25,289 |
{"molecular_weight": 227.94, "logp": -6.97, "hydrogen_bond_donors": 5, "hydrogen_bond_acceptors": 6, "rotatable_bonds": 0, "topological_polar_surface_area": 124.21, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 227.938 | -6.97 |
[
{
"content": "What is the drug likeness assessment for the compound represented by '[O-][I+](O)(O)(O)(O)O'?",
"role": "user"
},
{
"content": "{\"molecular_weight\": 227.94, \"logp\": -6.97, \"hydrogen_bond_donors\": 5, \"hydrogen_bond_acceptors\": 6, \"rotatable_bonds\": 0, \"topological_polar_surface_area\": 124.21, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
COc1ccc(C(C)=NNC(=O)CSc2nc3ccccc3c(=O)n2-c2ccc(C)cc2)cc1
| 1,187,832 |
472.57
| 472.57 | 4.33522 |
[
{
"content": "What is the molecular weight of the compound with SMILES 'COc1ccc(C(C)=NNC(=O)CSc2nc3ccccc3c(=O)n2-c2ccc(C)cc2)cc1'?",
"role": "user"
},
{
"content": "472.57",
"role": "assistant"
}
] |
Reactivity_Prediction
|
CC(=O)Nc1ccc2c(c1OC(C)=O)Cc1ccccc1-2
| 149,854 |
{"charges": {"C": [{"atom_idx": 1, "charge": 0.221}, {"atom_idx": 4, "charge": 0.084}, {"atom_idx": 6, "charge": -0.052}, {"atom_idx": 9, "charge": 0.158}, {"atom_idx": 11, "charge": 0.308}, {"atom_idx": 16, "charge": -0.058}, {"atom_idx": 17, "charge": -0.062}, {"atom_idx": 18, "charge": -0.062}, {"atom_idx": 19, "charge": -0.054}], "O": [{"atom_idx": 2, "charge": -0.275}, {"atom_idx": 10, "charge": -0.424}, {"atom_idx": 13, "charge": -0.252}], "N": [{"atom_idx": 3, "charge": -0.323}]}, "dipole": 2.81, "steric_hindrance": 3.81}
| 281.311 | 3.1415 |
[
{
"content": "Determine the reactivity prediction of the chemical structure 'CC(=O)Nc1ccc2c(c1OC(C)=O)Cc1ccccc1-2'.",
"role": "user"
},
{
"content": "{\"charges\": {\"C\": [{\"atom_idx\": 1, \"charge\": 0.221}, {\"atom_idx\": 4, \"charge\": 0.084}, {\"atom_idx\": 6, \"charge\": -0.052}, {\"atom_idx\": 9, \"charge\": 0.158}, {\"atom_idx\": 11, \"charge\": 0.308}, {\"atom_idx\": 16, \"charge\": -0.058}, {\"atom_idx\": 17, \"charge\": -0.062}, {\"atom_idx\": 18, \"charge\": -0.062}, {\"atom_idx\": 19, \"charge\": -0.054}], \"O\": [{\"atom_idx\": 2, \"charge\": -0.275}, {\"atom_idx\": 10, \"charge\": -0.424}, {\"atom_idx\": 13, \"charge\": -0.252}], \"N\": [{\"atom_idx\": 3, \"charge\": -0.323}]}, \"dipole\": 2.81, \"steric_hindrance\": 3.81}",
"role": "assistant"
}
] |
Functional_Group_Identification
|
O=C(O)C1CCC(=NO)C1
| 239,216 |
{"alcohol": 2, "carboxylic_acid": 1}
| 143.142 | 0.7013 |
[
{
"content": "What is the functional group identification for the compound represented by 'O=C(O)C1CCC(=NO)C1'?",
"role": "user"
},
{
"content": "{\"alcohol\": 2, \"carboxylic_acid\": 1}",
"role": "assistant"
}
] |
Molecule_Visualization
|
COc1ccccc1NC(=O)C1=C(C)NC2=C(C(=O)CC(c3ccc(OC)c(OC)c3)C2)C1c1cccc(O)c1
| 1,533,256 |
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</base64_image>
| 540.616 | 5.4183 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'COc1ccccc1NC(=O)C1=C(C)NC2=C(C(=O)CC(c3ccc(OC)c(OC)c3)C2)C1c1cccc(O)c1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Solubility_Prediction
|
CNC(NC)=S(=O)=O
| 128,040 |
{"log_s": 2.04, "solubility_mg_ml": 15.0138, "solubility_category": "Highly soluble", "contributing_factors": {"molecular_weight": 136.176, "logp": -1.61, "oh_groups": 0, "nh_groups": 2, "cooh_groups": 0, "aromatic_rings": 0}}
| 136.176 | -1.6083 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'CNC(NC)=S(=O)=O'.",
"role": "user"
},
{
"content": "{\"log_s\": 2.04, \"solubility_mg_ml\": 15.0138, \"solubility_category\": \"Highly soluble\", \"contributing_factors\": {\"molecular_weight\": 136.176, \"logp\": -1.61, \"oh_groups\": 0, \"nh_groups\": 2, \"cooh_groups\": 0, \"aromatic_rings\": 0}}",
"role": "assistant"
}
] |
Molecule_Visualization
|
C1CCc2c(sc3c2c2nnnn2c2nnnn32)C1
| 911,851 |
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</base64_image>
| 272.297 | 0.6555 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES 'C1CCc2c(sc3c2c2nnnn2c2nnnn32)C1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Reactivity_Prediction
|
CC[N+](C)(C)CCCOCCC[N+](C)(C)CC.[Br-].[Br-]
| 46,895 |
{"charges": {"C": [{"atom_idx": 1, "charge": 0.075}, {"atom_idx": 3, "charge": 0.068}, {"atom_idx": 4, "charge": 0.068}, {"atom_idx": 5, "charge": 0.08}, {"atom_idx": 7, "charge": 0.052}, {"atom_idx": 9, "charge": 0.052}, {"atom_idx": 11, "charge": 0.08}, {"atom_idx": 13, "charge": 0.068}, {"atom_idx": 14, "charge": 0.068}, {"atom_idx": 15, "charge": 0.075}], "N": [{"atom_idx": 2, "charge": -0.329}, {"atom_idx": 12, "charge": -0.329}], "O": [{"atom_idx": 8, "charge": -0.381}], "Br": [{"atom_idx": 17, "charge": -1.0}, {"atom_idx": 18, "charge": -1.0}]}, "dipole": 4.04, "steric_hindrance": 1.05}
| 406.247 | -4.0162 |
[
{
"content": "Determine the reactivity prediction of the chemical structure 'CC[N+](C)(C)CCCOCCC[N+](C)(C)CC.[Br-].[Br-]'.",
"role": "user"
},
{
"content": "{\"charges\": {\"C\": [{\"atom_idx\": 1, \"charge\": 0.075}, {\"atom_idx\": 3, \"charge\": 0.068}, {\"atom_idx\": 4, \"charge\": 0.068}, {\"atom_idx\": 5, \"charge\": 0.08}, {\"atom_idx\": 7, \"charge\": 0.052}, {\"atom_idx\": 9, \"charge\": 0.052}, {\"atom_idx\": 11, \"charge\": 0.08}, {\"atom_idx\": 13, \"charge\": 0.068}, {\"atom_idx\": 14, \"charge\": 0.068}, {\"atom_idx\": 15, \"charge\": 0.075}], \"N\": [{\"atom_idx\": 2, \"charge\": -0.329}, {\"atom_idx\": 12, \"charge\": -0.329}], \"O\": [{\"atom_idx\": 8, \"charge\": -0.381}], \"Br\": [{\"atom_idx\": 17, \"charge\": -1.0}, {\"atom_idx\": 18, \"charge\": -1.0}]}, \"dipole\": 4.04, \"steric_hindrance\": 1.05}",
"role": "assistant"
}
] |
Functional_Group_Identification
|
CCc1cnc([N+](=O)[O-])[nH]1
| 88,922 |
{"amine": 1, "nitro": 1}
| 141.13 | 0.8803 |
[
{
"content": "Provide information about Functional_Group_Identification for the molecule with SMILES 'CCc1cnc([N+](=O)[O-])[nH]1'.",
"role": "user"
},
{
"content": "{\"amine\": 1, \"nitro\": 1}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
CCOc1ccc(C2C(C#N)=C(N)Oc3n[nH]c(-c4ccc(OC)cc4)c32)cc1
| 993,589 |
{"donors": 2, "acceptors": 6}
| 388.427 | 3.70218 |
[
{
"content": "Identify the number of H-bond donors and acceptors in the compound 'CCOc1ccc(C2C(C#N)=C(N)Oc3n[nH]c(-c4ccc(OC)cc4)c32)cc1'.",
"role": "user"
},
{
"content": "{\"donors\": 2, \"acceptors\": 6}",
"role": "assistant"
}
] |
Molecule_Visualization
|
CCc1cnc([N+](=O)[O-])[nH]1
| 88,922 |
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</base64_image>
| 141.13 | 0.8803 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'CCc1cnc([N+](=O)[O-])[nH]1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Molecule_Visualization
|
COc1cc(Br)c(Br)c(C=Nc2ccc3c(c2)OCCO3)c1O
| 1,513,713 |
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</base64_image>
| 443.091 | 4.4476 |
[
{
"content": "What is the molecule visualization for the compound represented by 'COc1cc(Br)c(Br)c(C=Nc2ccc3c(c2)OCCO3)c1O'?",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
FC(F)(F)S(F)(F)F
| 550,050 |
{"predicted_classes": ["Unknown"], "class_scores": {"kinase_inhibitor": 0, "gpcr_ligand": 0, "enzyme_inhibitor": 0, "ion_channel_modulator": 0}, "bioactivity_likelihood": "Medium", "drug_like_properties": {"molecular_weight": 158.07, "logp": 2.96, "hbd": 0, "hba": 0}, "structural_complexity": "Low"}
| 158.066 | 2.9643 |
[
{
"content": "Determine the bioactivity prediction of the chemical structure 'FC(F)(F)S(F)(F)F'.",
"role": "user"
},
{
"content": "{\"predicted_classes\": [\"Unknown\"], \"class_scores\": {\"kinase_inhibitor\": 0, \"gpcr_ligand\": 0, \"enzyme_inhibitor\": 0, \"ion_channel_modulator\": 0}, \"bioactivity_likelihood\": \"Medium\", \"drug_like_properties\": {\"molecular_weight\": 158.07, \"logp\": 2.96, \"hbd\": 0, \"hba\": 0}, \"structural_complexity\": \"Low\"}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
O=C(c1ccccc1)c1ccc(C=Cc2cc([N+](=O)[O-])ccc2O)cc1
| 797,349 |
{"donors": 1, "acceptors": 4}
| 345.354 | 4.7018 |
[
{
"content": "Identify the number of H-bond donors and acceptors in the compound 'O=C(c1ccccc1)c1ccc(C=Cc2cc([N+](=O)[O-])ccc2O)cc1'.",
"role": "user"
},
{
"content": "{\"donors\": 1, \"acceptors\": 4}",
"role": "assistant"
}
] |
Molecule_Visualization
|
CC(=O)OO[N+](=O)[O-]
| 16,782 |
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</base64_image>
| 121.048 | -0.3272 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'CC(=O)OO[N+](=O)[O-]'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
CC(C)(C)[N+]([O-])=Cc1ccncc1
| 153,055 |
{"molecular_weight": 178.24, "logp": 1.81, "hydrogen_bond_donors": 0, "hydrogen_bond_acceptors": 2, "rotatable_bonds": 1, "topological_polar_surface_area": 38.96, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 178.235 | 1.8093 |
[
{
"content": "What is the drug likeness assessment for the compound represented by 'CC(C)(C)[N+]([O-])=Cc1ccncc1'?",
"role": "user"
},
{
"content": "{\"molecular_weight\": 178.24, \"logp\": 1.81, \"hydrogen_bond_donors\": 0, \"hydrogen_bond_acceptors\": 2, \"rotatable_bonds\": 1, \"topological_polar_surface_area\": 38.96, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
COc1cc(OC)c(NC(=O)c2c(-c3ccccc3Cl)noc2C)cc1Cl
| 1,161,019 |
407.25
| 407.253 | 5.22632 |
[
{
"content": "What is the molecular weight of the compound with SMILES 'COc1cc(OC)c(NC(=O)c2c(-c3ccccc3Cl)noc2C)cc1Cl'?",
"role": "user"
},
{
"content": "407.25",
"role": "assistant"
}
] |
Functional_Group_Identification
|
CCOC(=O)c1c(NC(=S)NC(=O)c2ccccc2)sc2c1-c1cccc(OC)c1OC2
| 1,251,119 |
{"ester": 1, "ether": 3, "amine": 1, "amide": 1, "sulfide": 2, "phenyl": 2}
| 468.556 | 4.6196 |
[
{
"content": "Provide information about Functional_Group_Identification for the molecule with SMILES 'CCOC(=O)c1c(NC(=S)NC(=O)c2ccccc2)sc2c1-c1cccc(OC)c1OC2'.",
"role": "user"
},
{
"content": "{\"ester\": 1, \"ether\": 3, \"amine\": 1, \"amide\": 1, \"sulfide\": 2, \"phenyl\": 2}",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
OOC(O)c1ccccc1
| 286,896 |
{"molecular_weight": 140.14, "logp": 1.17, "hydrogen_bond_donors": 2, "hydrogen_bond_acceptors": 3, "rotatable_bonds": 2, "topological_polar_surface_area": 49.69, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 140.138 | 1.1671 |
[
{
"content": "Determine the drug likeness assessment of the chemical structure 'OOC(O)c1ccccc1'.",
"role": "user"
},
{
"content": "{\"molecular_weight\": 140.14, \"logp\": 1.17, \"hydrogen_bond_donors\": 2, \"hydrogen_bond_acceptors\": 3, \"rotatable_bonds\": 2, \"topological_polar_surface_area\": 49.69, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
Solubility_Prediction
|
CC1=C(CCCO)c2cc3nc(cc4[nH]c(cc4C)cc4[nH]c(cc1n2)cc4C)C(C)=C3CCCO
| 635,491 |
{"log_s": -5.6, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 482.6280000000003, "logp": 6.34, "oh_groups": 2, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 3}}
| 482.628 | 6.33804 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'CC1=C(CCCO)c2cc3nc(cc4[nH]c(cc4C)cc4[nH]c(cc1n2)cc4C)C(C)=C3CCCO'.",
"role": "user"
},
{
"content": "{\"log_s\": -5.6, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 482.6280000000003, \"logp\": 6.34, \"oh_groups\": 2, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 3}}",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
O=[N+]([O-])c1ccc(C(O)C(CO)NC(=S)Nc2ccccc2)cc1
| 915,188 |
["GHS01", "GHS03", "GHS08"]
| 347.396 | 1.9757 |
[
{
"content": "Which GHS pictograms are required for the substance 'O=[N+]([O-])c1ccc(C(O)C(CO)NC(=S)Nc2ccccc2)cc1'?",
"role": "user"
},
{
"content": "[\"GHS01\", \"GHS03\", \"GHS08\"]",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
CCOc1cc[nH]c(=O)c1
| 817,729 |
4-ethoxy-1H-pyridin-2-one
| 139.154 | 0.7736 |
[
{
"content": "What does IUPAC call the chemical with structure 'CCOc1cc[nH]c(=O)c1'?",
"role": "user"
},
{
"content": "4-ethoxy-1H-pyridin-2-one",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
CCOc1ccccc1-n1c(SCC(=O)Nc2ccccc2Cl)nnc1-c1cccs1
| 1,155,262 |
{"predicted_classes": ["gpcr_ligand"], "class_scores": {"kinase_inhibitor": 0, "gpcr_ligand": 2, "enzyme_inhibitor": 1, "ion_channel_modulator": 0}, "bioactivity_likelihood": "Medium", "drug_like_properties": {"molecular_weight": 471.01, "logp": 5.78, "hbd": 1, "hba": 7}, "structural_complexity": "High"}
| 471.007 | 5.7787 |
[
{
"content": "Determine the bioactivity prediction of the chemical structure 'CCOc1ccccc1-n1c(SCC(=O)Nc2ccccc2Cl)nnc1-c1cccs1'.",
"role": "user"
},
{
"content": "{\"predicted_classes\": [\"gpcr_ligand\"], \"class_scores\": {\"kinase_inhibitor\": 0, \"gpcr_ligand\": 2, \"enzyme_inhibitor\": 1, \"ion_channel_modulator\": 0}, \"bioactivity_likelihood\": \"Medium\", \"drug_like_properties\": {\"molecular_weight\": 471.01, \"logp\": 5.78, \"hbd\": 1, \"hba\": 7}, \"structural_complexity\": \"High\"}",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
CC(=NNC(=O)c1ccc(Br)o1)c1ccncc1
| 872,059 |
["GHS06", "GHS08"]
| 308.135 | 2.5911 |
[
{
"content": "Which GHS pictograms are required for the substance 'CC(=NNC(=O)c1ccc(Br)o1)c1ccncc1'?",
"role": "user"
},
{
"content": "[\"GHS06\", \"GHS08\"]",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
C=C(Br)COC(C)C(C)=O
| 536,812 |
{"donors": 0, "acceptors": 2}
| 207.067 | 1.8891 |
[
{
"content": "Calculate the hydrogen bonding capacity (donors and acceptors) of the molecule 'C=C(Br)COC(C)C(C)=O'.",
"role": "user"
},
{
"content": "{\"donors\": 0, \"acceptors\": 2}",
"role": "assistant"
}
] |
Molecule_Visualization
|
C=CCc1cc(C=C2NC(=O)NC2=O)cc(OCC)c1OCc1ccc(Cl)c(Cl)c1
| 1,334,071 |
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</base64_image>
| 447.318 | 4.8799 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES 'C=CCc1cc(C=C2NC(=O)NC2=O)cc(OCC)c1OCc1ccc(Cl)c(Cl)c1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Solubility_Prediction
|
CCOc1cc[nH]c(=O)c1
| 817,729 |
{"log_s": 0.02, "solubility_mg_ml": 0.1463, "solubility_category": "Slightly soluble", "contributing_factors": {"molecular_weight": 139.154, "logp": 0.77, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 1}}
| 139.154 | 0.7736 |
[
{
"content": "Determine the solubility prediction of the chemical structure 'CCOc1cc[nH]c(=O)c1'.",
"role": "user"
},
{
"content": "{\"log_s\": 0.02, \"solubility_mg_ml\": 0.1463, \"solubility_category\": \"Slightly soluble\", \"contributing_factors\": {\"molecular_weight\": 139.154, \"logp\": 0.77, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 1}}",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
COc1cc(Br)c(Br)c(C=Nc2ccc3c(c2)OCCO3)c1O
| 1,513,713 |
{"molecular_weight": 443.09, "logp": 4.45, "hydrogen_bond_donors": 1, "hydrogen_bond_acceptors": 5, "rotatable_bonds": 3, "topological_polar_surface_area": 60.28, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 443.091 | 4.4476 |
[
{
"content": "What is the drug likeness assessment for the compound represented by 'COc1cc(Br)c(Br)c(C=Nc2ccc3c(c2)OCCO3)c1O'?",
"role": "user"
},
{
"content": "{\"molecular_weight\": 443.09, \"logp\": 4.45, \"hydrogen_bond_donors\": 1, \"hydrogen_bond_acceptors\": 5, \"rotatable_bonds\": 3, \"topological_polar_surface_area\": 60.28, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
Reactivity_Prediction
|
OOC(O)c1ccccc1
| 286,896 |
{"charges": {"O": [{"atom_idx": 0, "charge": -0.249}, {"atom_idx": 1, "charge": -0.202}, {"atom_idx": 3, "charge": -0.362}], "C": [{"atom_idx": 2, "charge": 0.214}, {"atom_idx": 5, "charge": -0.054}, {"atom_idx": 6, "charge": -0.062}, {"atom_idx": 7, "charge": -0.062}, {"atom_idx": 8, "charge": -0.062}, {"atom_idx": 9, "charge": -0.054}]}, "dipole": 1.4, "steric_hindrance": 2.0}
| 140.138 | 1.1671 |
[
{
"content": "Provide information about Reactivity_Prediction for the molecule with SMILES 'OOC(O)c1ccccc1'.",
"role": "user"
},
{
"content": "{\"charges\": {\"O\": [{\"atom_idx\": 0, \"charge\": -0.249}, {\"atom_idx\": 1, \"charge\": -0.202}, {\"atom_idx\": 3, \"charge\": -0.362}], \"C\": [{\"atom_idx\": 2, \"charge\": 0.214}, {\"atom_idx\": 5, \"charge\": -0.054}, {\"atom_idx\": 6, \"charge\": -0.062}, {\"atom_idx\": 7, \"charge\": -0.062}, {\"atom_idx\": 8, \"charge\": -0.062}, {\"atom_idx\": 9, \"charge\": -0.054}]}, \"dipole\": 1.4, \"steric_hindrance\": 2.0}",
"role": "assistant"
}
] |
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