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
|
|---|---|---|---|---|---|---|
Molecule_Visualization
|
COc1ccc2ccccc2c1C1C(C(C)=O)=C(C)N=c2sc(=Cc3c(C)[nH]c4ccccc34)c(=O)n21
| 1,203,079 |
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</base64_image>
| 507.615 | 4.77572 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'COc1ccc2ccccc2c1C1C(C(C)=O)=C(C)N=c2sc(=Cc3c(C)[nH]c4ccccc34)c(=O)n21'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
CCOC(=O)c1c(NC(=O)CSc2nc(C)nc3sc4c(c23)CCCC4)sc(C(=O)OC)c1C
| 1,554,419 |
4-O-ethyl 2-O-methyl 3-methyl-5-[[2-[(2-methyl-5,6,7,8-tetrahydro-[1]benzothiolo[2,3-d]pyrimidin-4-yl)sulfanyl]acetyl]amino]thiophene-2,4-dicarboxylate
| 519.67 | 4.94254 |
[
{
"content": "Give the IUPAC-compliant name for the molecule 'CCOC(=O)c1c(NC(=O)CSc2nc(C)nc3sc4c(c23)CCCC4)sc(C(=O)OC)c1C'.",
"role": "user"
},
{
"content": "4-O-ethyl 2-O-methyl 3-methyl-5-[[2-[(2-methyl-5,6,7,8-tetrahydro-[1]benzothiolo[2,3-d]pyrimidin-4-yl)sulfanyl]acetyl]amino]thiophene-2,4-dicarboxylate",
"role": "assistant"
}
] |
Reactivity_Prediction
|
Cn1nc(C(C)(C)C)cc1C(=O)Nc1nc2c(s1)C(=O)CC(C)(C)C2
| 654,029 |
{"charges": {"N": [{"atom_idx": 1, "charge": -0.263}, {"atom_idx": 2, "charge": -0.177}, {"atom_idx": 12, "charge": -0.296}, {"atom_idx": 14, "charge": -0.224}], "C": [{"atom_idx": 3, "charge": 0.069}, {"atom_idx": 5, "charge": -0.054}, {"atom_idx": 6, "charge": -0.054}, {"atom_idx": 7, "charge": -0.054}, {"atom_idx": 9, "charge": 0.126}, {"atom_idx": 10, "charge": 0.275}, {"atom_idx": 13, "charge": 0.19}, {"atom_idx": 15, "charge": 0.065}, {"atom_idx": 16, "charge": 0.095}, {"atom_idx": 18, "charge": 0.175}, {"atom_idx": 22, "charge": -0.059}, {"atom_idx": 23, "charge": -0.059}], "O": [{"atom_idx": 11, "charge": -0.267}, {"atom_idx": 19, "charge": -0.293}], "S": [{"atom_idx": 17, "charge": -0.093}]}, "dipole": 3.6, "steric_hindrance": 4.0}
| 360.483 | 3.5815 |
[
{
"content": "What is the reactivity prediction for the compound represented by 'Cn1nc(C(C)(C)C)cc1C(=O)Nc1nc2c(s1)C(=O)CC(C)(C)C2'?",
"role": "user"
},
{
"content": "{\"charges\": {\"N\": [{\"atom_idx\": 1, \"charge\": -0.263}, {\"atom_idx\": 2, \"charge\": -0.177}, {\"atom_idx\": 12, \"charge\": -0.296}, {\"atom_idx\": 14, \"charge\": -0.224}], \"C\": [{\"atom_idx\": 3, \"charge\": 0.069}, {\"atom_idx\": 5, \"charge\": -0.054}, {\"atom_idx\": 6, \"charge\": -0.054}, {\"atom_idx\": 7, \"charge\": -0.054}, {\"atom_idx\": 9, \"charge\": 0.126}, {\"atom_idx\": 10, \"charge\": 0.275}, {\"atom_idx\": 13, \"charge\": 0.19}, {\"atom_idx\": 15, \"charge\": 0.065}, {\"atom_idx\": 16, \"charge\": 0.095}, {\"atom_idx\": 18, \"charge\": 0.175}, {\"atom_idx\": 22, \"charge\": -0.059}, {\"atom_idx\": 23, \"charge\": -0.059}], \"O\": [{\"atom_idx\": 11, \"charge\": -0.267}, {\"atom_idx\": 19, \"charge\": -0.293}], \"S\": [{\"atom_idx\": 17, \"charge\": -0.093}]}, \"dipole\": 3.6, \"steric_hindrance\": 4.0}",
"role": "assistant"
}
] |
GHS_Hazard_Statement_Identification
|
CCc1cnc([N+](=O)[O-])[nH]1
| 88,922 |
["H201", "H270", "H350"]
| 141.13 | 0.8803 |
[
{
"content": "Identify the GHS hazard codes associated with the compound represented by 'CCc1cnc([N+](=O)[O-])[nH]1'.",
"role": "user"
},
{
"content": "[\"H201\", \"H270\", \"H350\"]",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
COc1cccc(Oc2nc3ncn(Cc4ccccc4)c3c(=O)n2C)c1
| 1,258,426 |
{"donors": 0, "acceptors": 7}
| 362.389 | 2.9792 |
[
{
"content": "How many hydrogen bond donors and acceptors are in the molecule with SMILES 'COc1cccc(Oc2nc3ncn(Cc4ccccc4)c3c(=O)n2C)c1'?",
"role": "user"
},
{
"content": "{\"donors\": 0, \"acceptors\": 7}",
"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": "Determine the drug likeness assessment of the chemical structure '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"
}
] |
GHS_Hazard_Statement_Identification
|
COc1ccccc1C(=O)NC(NC(=O)c1ccccc1OC)c1ccc(F)cc1
| 983,492 |
["H301", "H350"]
| 408.429 | 3.7015 |
[
{
"content": "List all GHS hazard statements (H-codes) that apply to the chemical 'COc1ccccc1C(=O)NC(NC(=O)c1ccccc1OC)c1ccc(F)cc1'.",
"role": "user"
},
{
"content": "[\"H301\", \"H350\"]",
"role": "assistant"
}
] |
Reactivity_Prediction
|
CCOCC(O)CC#N
| 533,654 |
{"charges": {"O": [{"atom_idx": 2, "charge": -0.379}, {"atom_idx": 5, "charge": -0.39}], "C": [{"atom_idx": 3, "charge": 0.074}, {"atom_idx": 4, "charge": 0.09}, {"atom_idx": 6, "charge": 0.063}, {"atom_idx": 7, "charge": 0.065}], "N": [{"atom_idx": 8, "charge": -0.198}]}, "dipole": 1.29, "steric_hindrance": 1.11}
| 129.159 | 0.29748 |
[
{
"content": "Provide information about Reactivity_Prediction for the molecule with SMILES 'CCOCC(O)CC#N'.",
"role": "user"
},
{
"content": "{\"charges\": {\"O\": [{\"atom_idx\": 2, \"charge\": -0.379}, {\"atom_idx\": 5, \"charge\": -0.39}], \"C\": [{\"atom_idx\": 3, \"charge\": 0.074}, {\"atom_idx\": 4, \"charge\": 0.09}, {\"atom_idx\": 6, \"charge\": 0.063}, {\"atom_idx\": 7, \"charge\": 0.065}], \"N\": [{\"atom_idx\": 8, \"charge\": -0.198}]}, \"dipole\": 1.29, \"steric_hindrance\": 1.11}",
"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": "Provide information about Functional_Group_Identification for the molecule with SMILES 'CCOC(=O)C(Cl)(Cl)C(C)=O'.",
"role": "user"
},
{
"content": "{\"ketone\": 1, \"ester\": 1, \"ether\": 1, \"halogen\": 2}",
"role": "assistant"
}
] |
Synthetic_Accessibility
|
O=c1[nH]oc(NS(=O)(=O)c2ccccc2)c1C1CCCCC1
| 242,307 |
{'sa_score': 8.35, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
| 322.386 | 2.8164 |
[
{
"content": "Determine the synthetic accessibility of the chemical structure 'O=c1[nH]oc(NS(=O)(=O)c2ccccc2)c1C1CCCCC1'.",
"role": "user"
},
{
"content": "{'sa_score': 8.35, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
Fc1cncc(F)n1
| 141,849 |
{"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"}
| 116.07 | 0.7548 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'Fc1cncc(F)n1'.",
"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
|
Cc1ccc(S(=O)(=O)N(CC(=O)NCc2cccnc2)Cc2ccc(F)cc2)cc1
| 1,073,048 |
427.50
| 427.501 | 3.03642 |
[
{
"content": "Calculate the exact molecular mass for the molecule represented by 'Cc1ccc(S(=O)(=O)N(CC(=O)NCc2cccnc2)Cc2ccc(F)cc2)cc1'.",
"role": "user"
},
{
"content": "427.50",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CCOC(=O)C1=C(SCc2nc(C)cc(C)c2C#N)OC(N)=C(C#N)C1c1ccc(OC)c(OC)c1
| 1,933,302 |
{"chiral_centers": 1, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 1, "chiral_center_details": [{"atom_index": 25, "configuration": "?"}], "stereogenic_double_bonds": 2, "max_stereoisomers": 2, "potentially_meso": false, "stereochemistry_complexity": "Medium"}
| 506.584 | 4.1031 |
[
{
"content": "What is the stereochemistry analysis for the compound represented by 'CCOC(=O)C1=C(SCc2nc(C)cc(C)c2C#N)OC(N)=C(C#N)C1c1ccc(OC)c(OC)c1'?",
"role": "user"
},
{
"content": "{\"chiral_centers\": 1, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 1, \"chiral_center_details\": [{\"atom_index\": 25, \"configuration\": \"?\"}], \"stereogenic_double_bonds\": 2, \"max_stereoisomers\": 2, \"potentially_meso\": false, \"stereochemistry_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
COc1cccc(Oc2nc3ncn(Cc4ccccc4)c3c(=O)n2C)c1
| 1,258,426 |
{"donors": 0, "acceptors": 7}
| 362.389 | 2.9792 |
[
{
"content": "Identify the number of H-bond donors and acceptors in the compound 'COc1cccc(Oc2nc3ncn(Cc4ccccc4)c3c(=O)n2C)c1'.",
"role": "user"
},
{
"content": "{\"donors\": 0, \"acceptors\": 7}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
COc1cccc(COc2ccc3c(c2)OC(=Cc2cc(OC)c(OC)c(OC)c2)C3=O)c1
| 1,781,741 |
448.47
| 448.471 | 4.9162 |
[
{
"content": "Determine the molecular weight (in g/mol) of the chemical with structure 'COc1cccc(COc2ccc3c(c2)OC(=Cc2cc(OC)c(OC)c(OC)c2)C3=O)c1'.",
"role": "user"
},
{
"content": "448.47",
"role": "assistant"
}
] |
Solubility_Prediction
|
COc1ccc(OC)c(C(c2nnnn2C2CCCCC2)N2CCc3ccccc3C2)c1
| 1,433,747 |
{"log_s": -5.11, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 433.5560000000003, "logp": 4.34, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 3}}
| 433.556 | 4.3432 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'COc1ccc(OC)c(C(c2nnnn2C2CCCCC2)N2CCc3ccccc3C2)c1'.",
"role": "user"
},
{
"content": "{\"log_s\": -5.11, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 433.5560000000003, \"logp\": 4.34, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 3}}",
"role": "assistant"
}
] |
Molecule_Visualization
|
CCNC1=NCCS1
| 202,955 |
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</base64_image>
| 130.216 | 0.6987 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'CCNC1=NCCS1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
GHS_Hazard_Statement_Identification
|
CCOC(=O)C1=C(SCc2nc(C)cc(C)c2C#N)OC(N)=C(C#N)C1c1ccc(OC)c(OC)c1
| 1,933,302 |
["H225", "H314", "H350", "H410"]
| 506.584 | 4.1031 |
[
{
"content": "What are the GHS H-codes for the molecule with SMILES 'CCOC(=O)C1=C(SCc2nc(C)cc(C)c2C#N)OC(N)=C(C#N)C1c1ccc(OC)c(OC)c1'?",
"role": "user"
},
{
"content": "[\"H225\", \"H314\", \"H350\", \"H410\"]",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
COC(=O)c1ccc(NC(=O)c2ccc(C)c(NC3=C(Cl)C(=O)N(Cc4ccccc4)C3=O)c2)cc1
| 1,676,457 |
503.94
| 503.942 | 4.46522 |
[
{
"content": "Calculate the exact molecular mass for the molecule represented by 'COC(=O)c1ccc(NC(=O)c2ccc(C)c(NC3=C(Cl)C(=O)N(Cc4ccccc4)C3=O)c2)cc1'.",
"role": "user"
},
{
"content": "503.94",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
O=C(Nc1ccccc1F)c1cccc(NC2=C(Cl)C(=O)N(c3ccc(F)c(Cl)c3)C2=O)c1
| 1,692,964 |
{"chiral_centers": 0, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 0, "chiral_center_details": [], "stereogenic_double_bonds": 1, "max_stereoisomers": 1, "potentially_meso": false, "stereochemistry_complexity": "None"}
| 488.277 | 5.3062 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'O=C(Nc1ccccc1F)c1cccc(NC2=C(Cl)C(=O)N(c3ccc(F)c(Cl)c3)C2=O)c1'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 0, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 0, \"chiral_center_details\": [], \"stereogenic_double_bonds\": 1, \"max_stereoisomers\": 1, \"potentially_meso\": false, \"stereochemistry_complexity\": \"None\"}",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
CCOC(=O)CC(=O)c1ccc2c(Cl)nn(C)c2c1
| 1,214,803 |
["GHS05", "GHS08"]
| 280.711 | 2.3626 |
[
{
"content": "What safety pictograms should accompany the chemical 'CCOC(=O)CC(=O)c1ccc2c(Cl)nn(C)c2c1'?",
"role": "user"
},
{
"content": "[\"GHS05\", \"GHS08\"]",
"role": "assistant"
}
] |
GHS_Hazard_Statement_Identification
|
O=C(NCc1ccco1)c1cc(-c2ccc(Cl)s2)nc2ccccc12
| 1,000,972 |
["H301", "H350", "H410"]
| 368.845 | 5.1397 |
[
{
"content": "Identify the GHS hazard codes associated with the compound represented by 'O=C(NCc1ccco1)c1cc(-c2ccc(Cl)s2)nc2ccccc12'.",
"role": "user"
},
{
"content": "[\"H301\", \"H350\", \"H410\"]",
"role": "assistant"
}
] |
Functional_Group_Identification
|
Cc1c(C)c2ccc(OC(C)C(=O)N3CCC4(O)CCCCC4C3)cc2oc1=O
| 1,766,015 |
{"alcohol": 1, "ether": 1, "amide": 1, "phenyl": 1}
| 399.487 | 3.33074 |
[
{
"content": "Determine the functional group identification of the chemical structure 'Cc1c(C)c2ccc(OC(C)C(=O)N3CCC4(O)CCCCC4C3)cc2oc1=O'.",
"role": "user"
},
{
"content": "{\"alcohol\": 1, \"ether\": 1, \"amide\": 1, \"phenyl\": 1}",
"role": "assistant"
}
] |
Molecule_Visualization
|
COc1ccc2[nH]c(=O)c(C(c3nnnn3Cc3ccc(F)cc3)N3CCN(c4ccc(F)cc4)CC3)cc2c1
| 1,159,727 |
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</base64_image>
| 543.578 | 3.7613 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'COc1ccc2[nH]c(=O)c(C(c3nnnn3Cc3ccc(F)cc3)N3CCN(c4ccc(F)cc4)CC3)cc2c1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Functional_Group_Identification
|
CCNC1=NCCS1
| 202,955 |
{"amine": 1, "sulfide": 2}
| 130.216 | 0.6987 |
[
{
"content": "Determine the functional group identification of the chemical structure 'CCNC1=NCCS1'.",
"role": "user"
},
{
"content": "{\"amine\": 1, \"sulfide\": 2}",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
O=C(NN=Cc1ccc(Br)s1)c1ccccc1I
| 1,381,174 |
["GHS06", "GHS08"]
| 435.084 | 3.8791 |
[
{
"content": "What safety pictograms should accompany the chemical 'O=C(NN=Cc1ccc(Br)s1)c1ccccc1I'?",
"role": "user"
},
{
"content": "[\"GHS06\", \"GHS08\"]",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
Fc1cncc(F)n1
| 141,849 |
{"molecular_weight": 116.07, "logp": 0.75, "hydrogen_bond_donors": 0, "hydrogen_bond_acceptors": 2, "rotatable_bonds": 0, "topological_polar_surface_area": 25.78, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 116.07 | 0.7548 |
[
{
"content": "Provide information about Drug_Likeness_Assessment for the molecule with SMILES 'Fc1cncc(F)n1'.",
"role": "user"
},
{
"content": "{\"molecular_weight\": 116.07, \"logp\": 0.75, \"hydrogen_bond_donors\": 0, \"hydrogen_bond_acceptors\": 2, \"rotatable_bonds\": 0, \"topological_polar_surface_area\": 25.78, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
O=C(NCc1ccco1)c1cc(-c2ccc(Cl)s2)nc2ccccc12
| 1,000,972 |
["GHS06", "GHS08", "GHS09"]
| 368.845 | 5.1397 |
[
{
"content": "What safety pictograms should accompany the chemical 'O=C(NCc1ccco1)c1cc(-c2ccc(Cl)s2)nc2ccccc12'?",
"role": "user"
},
{
"content": "[\"GHS06\", \"GHS08\", \"GHS09\"]",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
O=C(Nc1ccc(OCc2ccccc2)cc1)C1CCCN(S(=O)(=O)c2ccccc2)C1
| 1,190,418 |
{"chiral_centers": 1, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 1, "chiral_center_details": [{"atom_index": 17, "configuration": "?"}], "stereogenic_double_bonds": 0, "max_stereoisomers": 2, "potentially_meso": false, "stereochemistry_complexity": "Medium"}
| 450.56 | 4.305 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'O=C(Nc1ccc(OCc2ccccc2)cc1)C1CCCN(S(=O)(=O)c2ccccc2)C1'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 1, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 1, \"chiral_center_details\": [{\"atom_index\": 17, \"configuration\": \"?\"}], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 2, \"potentially_meso\": false, \"stereochemistry_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
CCCC1=NC(C)(C)CO1
| 293,662 |
{"molecular_weight": 141.21, "logp": 1.99, "hydrogen_bond_donors": 0, "hydrogen_bond_acceptors": 2, "rotatable_bonds": 2, "topological_polar_surface_area": 21.59, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 141.214 | 1.9938 |
[
{
"content": "Determine the drug likeness assessment of the chemical structure 'CCCC1=NC(C)(C)CO1'.",
"role": "user"
},
{
"content": "{\"molecular_weight\": 141.21, \"logp\": 1.99, \"hydrogen_bond_donors\": 0, \"hydrogen_bond_acceptors\": 2, \"rotatable_bonds\": 2, \"topological_polar_surface_area\": 21.59, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
CCC1(C)Cc2c(sc3nc(SC)n4c(SCC(=O)Nc5ccccc5C)nnc4c23)CO1
| 1,868,096 |
2-[[(14R)-14-ethyl-14-methyl-7-methylsulfanyl-13-oxa-10-thia-3,4,6,8-tetrazatetracyclo[7.7.0.02,6.011,16]hexadeca-1(9),2,4,7,11(16)-pentaen-5-yl]sulfanyl]-N-(2-methylphenyl)acetamide
| 499.687 | 5.34152 |
[
{
"content": "Generate the IUPAC nomenclature for the chemical with structure 'CCC1(C)Cc2c(sc3nc(SC)n4c(SCC(=O)Nc5ccccc5C)nnc4c23)CO1'.",
"role": "user"
},
{
"content": "2-[[(14R)-14-ethyl-14-methyl-7-methylsulfanyl-13-oxa-10-thia-3,4,6,8-tetrazatetracyclo[7.7.0.02,6.011,16]hexadeca-1(9),2,4,7,11(16)-pentaen-5-yl]sulfanyl]-N-(2-methylphenyl)acetamide",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
Cn1c2c(c(=O)[nH]c1=O)C(c1ccc(OCc3ccccc3)cc1)C1=C(N2)c2ccccc2C1=O
| 1,371,734 |
{"predicted_classes": ["gpcr_ligand"], "class_scores": {"kinase_inhibitor": 0, "gpcr_ligand": 1, "enzyme_inhibitor": 0, "ion_channel_modulator": 0}, "bioactivity_likelihood": "High", "drug_like_properties": {"molecular_weight": 463.49, "logp": 3.82, "hbd": 2, "hba": 6}, "structural_complexity": "High"}
| 463.493 | 3.8176 |
[
{
"content": "Determine the bioactivity prediction of the chemical structure 'Cn1c2c(c(=O)[nH]c1=O)C(c1ccc(OCc3ccccc3)cc1)C1=C(N2)c2ccccc2C1=O'.",
"role": "user"
},
{
"content": "{\"predicted_classes\": [\"gpcr_ligand\"], \"class_scores\": {\"kinase_inhibitor\": 0, \"gpcr_ligand\": 1, \"enzyme_inhibitor\": 0, \"ion_channel_modulator\": 0}, \"bioactivity_likelihood\": \"High\", \"drug_like_properties\": {\"molecular_weight\": 463.49, \"logp\": 3.82, \"hbd\": 2, \"hba\": 6}, \"structural_complexity\": \"High\"}",
"role": "assistant"
}
] |
Synthetic_Accessibility
|
CC1(C)OC2(C=CNN2)OC1(C)C
| 559,183 |
{'sa_score': 8.8, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
| 184.239 | 0.8657 |
[
{
"content": "Provide information about Synthetic_Accessibility for the molecule with SMILES 'CC1(C)OC2(C=CNN2)OC1(C)C'.",
"role": "user"
},
{
"content": "{'sa_score': 8.8, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CC(C)(C)c1ccc(C=Nn2c(N)c(C(=O)Nc3ccc(Cl)cc3)c3nc4ccccc4nc32)cc1
| 1,829,494 |
{"chiral_centers": 0, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 0, "chiral_center_details": [], "stereogenic_double_bonds": 1, "max_stereoisomers": 1, "potentially_meso": false, "stereochemistry_complexity": "None"}
| 497.002 | 6.2521 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'CC(C)(C)c1ccc(C=Nn2c(N)c(C(=O)Nc3ccc(Cl)cc3)c3nc4ccccc4nc32)cc1'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 0, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 0, \"chiral_center_details\": [], \"stereogenic_double_bonds\": 1, \"max_stereoisomers\": 1, \"potentially_meso\": false, \"stereochemistry_complexity\": \"None\"}",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
Cc1cc(CCC(=O)O)c(C)cc1CCC(=O)O
| 658,500 |
{"molecular_weight": 250.29, "logp": 2.34, "hydrogen_bond_donors": 2, "hydrogen_bond_acceptors": 2, "rotatable_bonds": 6, "topological_polar_surface_area": 74.6, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 250.294 | 2.33784 |
[
{
"content": "What is the drug likeness assessment for the compound represented by 'Cc1cc(CCC(=O)O)c(C)cc1CCC(=O)O'?",
"role": "user"
},
{
"content": "{\"molecular_weight\": 250.29, \"logp\": 2.34, \"hydrogen_bond_donors\": 2, \"hydrogen_bond_acceptors\": 2, \"rotatable_bonds\": 6, \"topological_polar_surface_area\": 74.6, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
O=C(COc1ccc(C(=O)Nc2ccccc2Cl)cc1)Nc1cccc(C(F)(F)F)c1
| 1,191,701 |
448.83
| 448.828 | 5.6286 |
[
{
"content": "Calculate the exact molecular mass for the molecule represented by 'O=C(COc1ccc(C(=O)Nc2ccccc2Cl)cc1)Nc1cccc(C(F)(F)F)c1'.",
"role": "user"
},
{
"content": "448.83",
"role": "assistant"
}
] |
Functional_Group_Identification
|
CC1(C)OC2(C=CNN2)OC1(C)C
| 559,183 |
{"ether": 2, "amine": 2}
| 184.239 | 0.8657 |
[
{
"content": "Provide information about Functional_Group_Identification for the molecule with SMILES 'CC1(C)OC2(C=CNN2)OC1(C)C'.",
"role": "user"
},
{
"content": "{\"ether\": 2, \"amine\": 2}",
"role": "assistant"
}
] |
Synthetic_Accessibility
|
CCC(C)NCC(=O)O
| 42,811 |
{'sa_score': 9.5, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
| 131.175 | 0.4591 |
[
{
"content": "Determine the synthetic accessibility of the chemical structure 'CCC(C)NCC(=O)O'.",
"role": "user"
},
{
"content": "{'sa_score': 9.5, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}",
"role": "assistant"
}
] |
Solubility_Prediction
|
ClCc1ccc(CCl)cc1
| 12,171 |
{"log_s": -1.53, "solubility_mg_ml": 0.0051, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 175.058, "logp": 3.16, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 1}}
| 175.058 | 3.1642 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'ClCc1ccc(CCl)cc1'.",
"role": "user"
},
{
"content": "{\"log_s\": -1.53, \"solubility_mg_ml\": 0.0051, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 175.058, \"logp\": 3.16, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 1}}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
O=C(NN=Cc1ccc(Br)s1)c1ccccc1I
| 1,381,174 |
{"donors": 1, "acceptors": 3}
| 435.084 | 3.8791 |
[
{
"content": "How many hydrogen bond donors and acceptors are in the molecule with SMILES 'O=C(NN=Cc1ccc(Br)s1)c1ccccc1I'?",
"role": "user"
},
{
"content": "{\"donors\": 1, \"acceptors\": 3}",
"role": "assistant"
}
] |
Synthetic_Accessibility
|
Cn1nc(C(C)(C)C)cc1C(=O)Nc1nc2c(s1)C(=O)CC(C)(C)C2
| 654,029 |
{'sa_score': 8.1, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
| 360.483 | 3.5815 |
[
{
"content": "Determine the synthetic accessibility of the chemical structure 'Cn1nc(C(C)(C)C)cc1C(=O)Nc1nc2c(s1)C(=O)CC(C)(C)C2'.",
"role": "user"
},
{
"content": "{'sa_score': 8.1, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
O=c1ccc2ccncc2[nH]1
| 589,676 |
{"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": 146.15, "logp": 0.92, "hbd": 1, "hba": 2}, "structural_complexity": "Medium"}
| 146.149 | 0.9231 |
[
{
"content": "Determine the bioactivity prediction of the chemical structure 'O=c1ccc2ccncc2[nH]1'.",
"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\": 146.15, \"logp\": 0.92, \"hbd\": 1, \"hba\": 2}, \"structural_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CCC(C)(O)C1=CC=CC1
| 114,436 |
{"chiral_centers": 1, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 1, "chiral_center_details": [{"atom_index": 2, "configuration": "?"}], "stereogenic_double_bonds": 2, "max_stereoisomers": 2, "potentially_meso": false, "stereochemistry_complexity": "Medium"}
| 138.21 | 2.0337 |
[
{
"content": "What is the stereochemistry analysis for the compound represented by 'CCC(C)(O)C1=CC=CC1'?",
"role": "user"
},
{
"content": "{\"chiral_centers\": 1, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 1, \"chiral_center_details\": [{\"atom_index\": 2, \"configuration\": \"?\"}], \"stereogenic_double_bonds\": 2, \"max_stereoisomers\": 2, \"potentially_meso\": false, \"stereochemistry_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
Solubility_Prediction
|
O=C(O)CN(CC(=O)O)CC(=O)Nc1ccc(Br)cc1
| 450,142 |
{"log_s": 0.62, "solubility_mg_ml": 1.4359, "solubility_category": "Moderately soluble", "contributing_factors": {"molecular_weight": 345.149, "logp": 0.86, "oh_groups": 2, "nh_groups": 1, "cooh_groups": 2, "aromatic_rings": 1}}
| 345.149 | 0.8588 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'O=C(O)CN(CC(=O)O)CC(=O)Nc1ccc(Br)cc1'.",
"role": "user"
},
{
"content": "{\"log_s\": 0.62, \"solubility_mg_ml\": 1.4359, \"solubility_category\": \"Moderately soluble\", \"contributing_factors\": {\"molecular_weight\": 345.149, \"logp\": 0.86, \"oh_groups\": 2, \"nh_groups\": 1, \"cooh_groups\": 2, \"aromatic_rings\": 1}}",
"role": "assistant"
}
] |
Solubility_Prediction
|
COC(N(C)C)N(C)C
| 70,908 |
{"log_s": 0.66, "solubility_mg_ml": 0.6017, "solubility_category": "Slightly soluble", "contributing_factors": {"molecular_weight": 132.207, "logp": 0.04, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 0}}
| 132.207 | 0.0396 |
[
{
"content": "What is the solubility prediction for the compound represented by 'COC(N(C)C)N(C)C'?",
"role": "user"
},
{
"content": "{\"log_s\": 0.66, \"solubility_mg_ml\": 0.6017, \"solubility_category\": \"Slightly soluble\", \"contributing_factors\": {\"molecular_weight\": 132.207, \"logp\": 0.04, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 0}}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CC1CCc2c(sc3nc(C4CC4)nc(SCC(=O)NC4CCCCC4)c23)C1
| 1,466,712 |
415.63
| 415.628 | 5.2345 |
[
{
"content": "What is the molecular weight of the compound with SMILES 'CC1CCc2c(sc3nc(C4CC4)nc(SCC(=O)NC4CCCCC4)c23)C1'?",
"role": "user"
},
{
"content": "415.63",
"role": "assistant"
}
] |
Molecule_Visualization
|
COc1ccccc1NC(=O)N(CC(=O)N(Cc1ccc2c(c1)OCO2)Cc1cccs1)C(C)C
| 1,028,757 |
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</base64_image>
| 495.601 | 4.9567 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES 'COc1ccccc1NC(=O)N(CC(=O)N(Cc1ccc2c(c1)OCO2)Cc1cccs1)C(C)C'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCOC(=O)c1c(NC(=O)CSc2nc(C)nc3sc4c(c23)CCCC4)sc(C(=O)OC)c1C
| 1,554,419 |
519.67
| 519.67 | 4.94254 |
[
{
"content": "What is the molar mass of the substance with SMILES 'CCOC(=O)c1c(NC(=O)CSc2nc(C)nc3sc4c(c23)CCCC4)sc(C(=O)OC)c1C'?",
"role": "user"
},
{
"content": "519.67",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
COC(=O)c1ccc(NC(=O)CSc2nnc(-c3ccccc3)n2-c2ccccc2)cc1
| 1,310,629 |
{"donors": 1, "acceptors": 7}
| 444.516 | 4.4517 |
[
{
"content": "How many hydrogen bond donors and acceptors are in the molecule with SMILES 'COC(=O)c1ccc(NC(=O)CSc2nnc(-c3ccccc3)n2-c2ccccc2)cc1'?",
"role": "user"
},
{
"content": "{\"donors\": 1, \"acceptors\": 7}",
"role": "assistant"
}
] |
Molecule_Visualization
|
Cc1ccccc1C(=O)Nc1ccc2nc(SCC(=O)NC(C)c3ccccc3)sc2c1
| 1,249,927 |
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</base64_image>
| 461.612 | 5.82652 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'Cc1ccccc1C(=O)Nc1ccc2nc(SCC(=O)NC(C)c3ccccc3)sc2c1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Solubility_Prediction
|
CCCCC(NC(=O)C1CCCN1C(=O)OCc1ccccc1)C(=O)OCc1ccccc1
| 333,391 |
{"log_s": -4.73, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 452.5510000000001, "logp": 4.21, "oh_groups": 0, "nh_groups": 1, "cooh_groups": 0, "aromatic_rings": 2}}
| 452.551 | 4.206 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'CCCCC(NC(=O)C1CCCN1C(=O)OCc1ccccc1)C(=O)OCc1ccccc1'.",
"role": "user"
},
{
"content": "{\"log_s\": -4.73, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 452.5510000000001, \"logp\": 4.21, \"oh_groups\": 0, \"nh_groups\": 1, \"cooh_groups\": 0, \"aromatic_rings\": 2}}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CC(C)c1ccccc1NC(=O)COc1ccc2c(=O)c(-c3ccccc3Cl)coc2c1
| 1,660,508 |
447.92
| 447.918 | 6.2543 |
[
{
"content": "Calculate the exact molecular mass for the molecule represented by 'CC(C)c1ccccc1NC(=O)COc1ccc2c(=O)c(-c3ccccc3Cl)coc2c1'.",
"role": "user"
},
{
"content": "447.92",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CC(C)c1ccccc1NC(=O)CSc1nc2sc3c(c2c(=O)n1-c1ccc(Cl)cc1)CCCC3
| 1,889,401 |
{"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"}
| 524.111 | 6.8336 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'CC(C)c1ccccc1NC(=O)CSc1nc2sc3c(c2c(=O)n1-c1ccc(Cl)cc1)CCCC3'.",
"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
|
CCNC1=NCCS1
| 202,955 |
130.22
| 130.216 | 0.6987 |
[
{
"content": "Provide the molecular weight for 'CCNC1=NCCS1'.",
"role": "user"
},
{
"content": "130.22",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCCCCCCCCCCCCCCCCCCCCCCC(C)CC(C)CC(C)C(=O)OC
| 567,889 |
494.89
| 494.889 | 11.45 |
[
{
"content": "What is the molecular weight of the compound with SMILES 'CCCCCCCCCCCCCCCCCCCCCCCC(C)CC(C)CC(C)C(=O)OC'?",
"role": "user"
},
{
"content": "494.89",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CCCCS(=O)(=O)Cl
| 75,430 |
{"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"}
| 156.634 | 1.3551 |
[
{
"content": "What is the stereochemistry analysis for the compound represented by 'CCCCS(=O)(=O)Cl'?",
"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"
}
] |
GHS_Pictogram_Identification
|
CCc1cnc([N+](=O)[O-])[nH]1
| 88,922 |
["GHS01", "GHS03", "GHS08"]
| 141.13 | 0.8803 |
[
{
"content": "What safety pictograms should accompany the chemical 'CCc1cnc([N+](=O)[O-])[nH]1'?",
"role": "user"
},
{
"content": "[\"GHS01\", \"GHS03\", \"GHS08\"]",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
COc1ccc(C(=O)N(C)c2nc3c(s2)CCCC3)cc1
| 1,485,670 |
{"donors": 0, "acceptors": 4}
| 302.399 | 3.3071 |
[
{
"content": "Calculate the hydrogen bonding capacity (donors and acceptors) of the molecule 'COc1ccc(C(=O)N(C)c2nc3c(s2)CCCC3)cc1'.",
"role": "user"
},
{
"content": "{\"donors\": 0, \"acceptors\": 4}",
"role": "assistant"
}
] |
Solubility_Prediction
|
Oc1c(Cl)cc(Cl)cc1Br
| 20,617 |
{"log_s": -1.85, "solubility_mg_ml": 0.0034, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 241.89899999999997, "logp": 3.46, "oh_groups": 1, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 1}}
| 241.899 | 3.4615 |
[
{
"content": "What is the solubility prediction for the compound represented by 'Oc1c(Cl)cc(Cl)cc1Br'?",
"role": "user"
},
{
"content": "{\"log_s\": -1.85, \"solubility_mg_ml\": 0.0034, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 241.89899999999997, \"logp\": 3.46, \"oh_groups\": 1, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 1}}",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
CCOCC(O)CC#N
| 533,654 |
4-ethoxy-3-hydroxybutanenitrile
| 129.159 | 0.29748 |
[
{
"content": "Give the IUPAC-compliant name for the molecule 'CCOCC(O)CC#N'.",
"role": "user"
},
{
"content": "4-ethoxy-3-hydroxybutanenitrile",
"role": "assistant"
}
] |
Functional_Group_Identification
|
COc1cccc(Oc2nc3ncn(Cc4ccccc4)c3c(=O)n2C)c1
| 1,258,426 |
{"ether": 2, "phenyl": 2}
| 362.389 | 2.9792 |
[
{
"content": "What is the functional group identification for the compound represented by 'COc1cccc(Oc2nc3ncn(Cc4ccccc4)c3c(=O)n2C)c1'?",
"role": "user"
},
{
"content": "{\"ether\": 2, \"phenyl\": 2}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
Cc1cc(CCC(=O)O)c(C)cc1CCC(=O)O
| 658,500 |
250.29
| 250.294 | 2.33784 |
[
{
"content": "What is the molar mass of the substance with SMILES 'Cc1cc(CCC(=O)O)c(C)cc1CCC(=O)O'?",
"role": "user"
},
{
"content": "250.29",
"role": "assistant"
}
] |
Reactivity_Prediction
|
COC(=O)c1ccc(NC(=O)CSc2nnc(-c3ccccc3)n2-c2ccccc2)cc1
| 1,310,629 |
{"charges": {"C": [{"atom_idx": 0, "charge": 0.081}, {"atom_idx": 2, "charge": 0.337}, {"atom_idx": 4, "charge": 0.06}, {"atom_idx": 9, "charge": 0.234}, {"atom_idx": 11, "charge": 0.081}, {"atom_idx": 13, "charge": 0.196}, {"atom_idx": 16, "charge": 0.169}, {"atom_idx": 18, "charge": -0.051}, {"atom_idx": 19, "charge": -0.062}, {"atom_idx": 20, "charge": -0.062}, {"atom_idx": 21, "charge": -0.062}, {"atom_idx": 22, "charge": -0.051}, {"atom_idx": 26, "charge": -0.06}, {"atom_idx": 27, "charge": -0.062}, {"atom_idx": 28, "charge": -0.06}], "O": [{"atom_idx": 1, "charge": -0.465}, {"atom_idx": 3, "charge": -0.246}, {"atom_idx": 10, "charge": -0.274}], "N": [{"atom_idx": 8, "charge": -0.325}, {"atom_idx": 14, "charge": -0.122}, {"atom_idx": 15, "charge": -0.129}, {"atom_idx": 23, "charge": -0.27}], "S": [{"atom_idx": 12, "charge": -0.076}]}, "dipole": 4.44, "steric_hindrance": 2.81}
| 444.516 | 4.4517 |
[
{
"content": "Provide information about Reactivity_Prediction for the molecule with SMILES 'COC(=O)c1ccc(NC(=O)CSc2nnc(-c3ccccc3)n2-c2ccccc2)cc1'.",
"role": "user"
},
{
"content": "{\"charges\": {\"C\": [{\"atom_idx\": 0, \"charge\": 0.081}, {\"atom_idx\": 2, \"charge\": 0.337}, {\"atom_idx\": 4, \"charge\": 0.06}, {\"atom_idx\": 9, \"charge\": 0.234}, {\"atom_idx\": 11, \"charge\": 0.081}, {\"atom_idx\": 13, \"charge\": 0.196}, {\"atom_idx\": 16, \"charge\": 0.169}, {\"atom_idx\": 18, \"charge\": -0.051}, {\"atom_idx\": 19, \"charge\": -0.062}, {\"atom_idx\": 20, \"charge\": -0.062}, {\"atom_idx\": 21, \"charge\": -0.062}, {\"atom_idx\": 22, \"charge\": -0.051}, {\"atom_idx\": 26, \"charge\": -0.06}, {\"atom_idx\": 27, \"charge\": -0.062}, {\"atom_idx\": 28, \"charge\": -0.06}], \"O\": [{\"atom_idx\": 1, \"charge\": -0.465}, {\"atom_idx\": 3, \"charge\": -0.246}, {\"atom_idx\": 10, \"charge\": -0.274}], \"N\": [{\"atom_idx\": 8, \"charge\": -0.325}, {\"atom_idx\": 14, \"charge\": -0.122}, {\"atom_idx\": 15, \"charge\": -0.129}, {\"atom_idx\": 23, \"charge\": -0.27}], \"S\": [{\"atom_idx\": 12, \"charge\": -0.076}]}, \"dipole\": 4.44, \"steric_hindrance\": 2.81}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
CCOC(=O)Cn1nnnc1C(C(C)C)N(Cc1ccccc1)Cc1cc2cc(C)ccc2[nH]c1=O
| 1,438,078 |
{"donors": 1, "acceptors": 8}
| 488.592 | 3.78562 |
[
{
"content": "How many hydrogen bond donors and acceptors are in the molecule with SMILES 'CCOC(=O)Cn1nnnc1C(C(C)C)N(Cc1ccccc1)Cc1cc2cc(C)ccc2[nH]c1=O'?",
"role": "user"
},
{
"content": "{\"donors\": 1, \"acceptors\": 8}",
"role": "assistant"
}
] |
Molecule_Visualization
|
CCOC(=O)c1cnc2ccc(OC)cc2c1Nc1ccc(OCc2ccccc2Cl)cc1
| 1,564,577 |
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</base64_image>
| 462.933 | 6.3961 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'CCOC(=O)c1cnc2ccc(OC)cc2c1Nc1ccc(OCc2ccccc2Cl)cc1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
COc1ccc(Cn2nnnc2CN(CCc2ccccc2)Cc2cc3cc(C)cc(C)c3[nH]c2=O)cc1
| 1,171,155 |
508.63
| 508.626 | 4.43324 |
[
{
"content": "Calculate the exact molecular mass for the molecule represented by 'COc1ccc(Cn2nnnc2CN(CCc2ccccc2)Cc2cc3cc(C)cc(C)c3[nH]c2=O)cc1'.",
"role": "user"
},
{
"content": "508.63",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
O=C(O)c1ccc(NC(=O)c2ccc(CNC3=C(Cl)C(=O)N(Cc4ccccc4Cl)C3=O)cc2)cc1
| 1,408,298 |
4-[[4-[[[4-chloro-1-[(2-chlorophenyl)methyl]-2,5-dioxopyrrol-3-yl]amino]methyl]benzoyl]amino]benzoic acid
| 524.36 | 4.3995 |
[
{
"content": "Convert this SMILES representation 'O=C(O)c1ccc(NC(=O)c2ccc(CNC3=C(Cl)C(=O)N(Cc4ccccc4Cl)C3=O)cc2)cc1' to its proper IUPAC name.",
"role": "user"
},
{
"content": "4-[[4-[[[4-chloro-1-[(2-chlorophenyl)methyl]-2,5-dioxopyrrol-3-yl]amino]methyl]benzoyl]amino]benzoic acid",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
Cc1cc2oc(-c3ccccc3)c(OCC(=O)Nc3ccc(Oc4ccccc4)cc3)c(=O)c2cc1C
| 1,650,480 |
{"predicted_classes": ["gpcr_ligand"], "class_scores": {"kinase_inhibitor": 0, "gpcr_ligand": 3, "enzyme_inhibitor": 1, "ion_channel_modulator": 0}, "bioactivity_likelihood": "Low", "drug_like_properties": {"molecular_weight": 491.54, "logp": 6.89, "hbd": 1, "hba": 5}, "structural_complexity": "High"}
| 491.543 | 6.88664 |
[
{
"content": "Determine the bioactivity prediction of the chemical structure 'Cc1cc2oc(-c3ccccc3)c(OCC(=O)Nc3ccc(Oc4ccccc4)cc3)c(=O)c2cc1C'.",
"role": "user"
},
{
"content": "{\"predicted_classes\": [\"gpcr_ligand\"], \"class_scores\": {\"kinase_inhibitor\": 0, \"gpcr_ligand\": 3, \"enzyme_inhibitor\": 1, \"ion_channel_modulator\": 0}, \"bioactivity_likelihood\": \"Low\", \"drug_like_properties\": {\"molecular_weight\": 491.54, \"logp\": 6.89, \"hbd\": 1, \"hba\": 5}, \"structural_complexity\": \"High\"}",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
CONC(=O)Nc1ccccc1
| 254,026 |
{"molecular_weight": 166.18, "logp": 1.37, "hydrogen_bond_donors": 2, "hydrogen_bond_acceptors": 2, "rotatable_bonds": 2, "topological_polar_surface_area": 50.36, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 166.18 | 1.3695 |
[
{
"content": "Determine the drug likeness assessment of the chemical structure 'CONC(=O)Nc1ccccc1'.",
"role": "user"
},
{
"content": "{\"molecular_weight\": 166.18, \"logp\": 1.37, \"hydrogen_bond_donors\": 2, \"hydrogen_bond_acceptors\": 2, \"rotatable_bonds\": 2, \"topological_polar_surface_area\": 50.36, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
Molecule_Visualization
|
CN(Cc1ccccc1)S(=O)(=O)c1ccc(S(=O)(=O)N2CCC(Cc3ccccc3)CC2)cc1
| 1,168,534 |
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</base64_image>
| 498.67 | 4.1507 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES 'CN(Cc1ccccc1)S(=O)(=O)c1ccc(S(=O)(=O)N2CCC(Cc3ccccc3)CC2)cc1'.",
"role": "user"
},
{
"content": 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zmDafDgwda9XMCpTLNmzQJQv359k8m0dOlSJUIGg8GKUqmpqcp593v37tXpdMpvvZs3b1bfyf+EsDBq0IB69aLmzWn0aBJ6SNaTLSeHliyhESNo5kyywVJny2EN1u1+JCCEOTk5ysYz69aty8vLUx443L59uxWllI2NX3/9dSKaPHkyeDuZosvKopo1SbkjMptp8GBau1Z2nx4PJhO1bEmLF1N0NH33Hfn60o0bwhsJCQmBtYc1iDmpV9mCrVKlSlqt9vfff7f6dlSn002ZMkXZhkDZNZk3Viuqo0fp9dfvfnjwIPXqJa83j5PffqOCQ+vTp5MNzoex7H5kxQY2YkJoGUEJCQkRUlB5PuPdd98VUu0/Yd8+GjDg7ocnTlBJ7Y/+uFu5kqZOvfvhjz+SbX6u1q1bB6t2PxKzN4Sdnd2yZctefvnl+fPnm0wm5TiOhyi4X8D9IiIifv75Zy8vL2WbR1YkL7yAqKi7H0ZGwtdXXm8eJ2XLouCTu1otypWzRTvvvPPOypUrNRrNokWLPvnkk6K/UMCZ9Ra1a9e+cOGCkFLOzs5Tp06dMWOGkGpWU7bSOH36tIeHh4ODg+XvXV1d3dzcHvlyNzc3V1dXAMnJyc7OzosWLerdu7cNu9unDwICMGwYLl3CqFH46SfUrm271tatW/fjjz82b97c29u7KDv9eHl5FfweKs6dO1epUqWRI0c6OTnZpptAUhLatYNGA09PmEzo3BlTpuBR1wnrHD16tGXLli4uLuHh4Y0aNSriq0SG8MKFC0OHDr18+bIyNvMQBfcLuF9SUlJqaurAgQOVpygkmjlzpqg3Aicnpxo1akRFRd3/gyhMfj5Wr8bx46hYESNG4FH/C2qsW7fu3XffFVVtwIABW7ZsEVWtEN99h3nz0KABzp9Hly6YOdN2TdWvX//MmTPNmzc/evRoEV8iMoSiJCYm+vn56fX6iIgI5elJKTIzM319fVNSUoKCgkJCQgq+2efm5ur1+kdW0Ov1ubm5ABISEsaPH5+YmLhq1SrlQCvxcnMxYwZcXTFjBvbtwx9/oEsXtG5ti6bMZnOjRo1Onz5dvnz5oUOH5ubmGo3GR75Kp9OZTKZ7/vLo0aPJyckeHh4JCQnKJLN4JhN0OhDh1i2ULQt7e5QpA2dnm7QFdO7c+bfffmvVqtWhQ4eK+hpb/IaqnpoBX1GUDawCAwOF9GH79u0AKlSoYKszPDIyCKDy5YmIgoMJsMUYoEIZgahcubJOp1NfTRlBELiN571OnyaA6tUjIurThwAKDbVRU8rqGVdX10uXLhX9VY9pCNUM+Apx4cIFZY7kr7/+ElVTOc1K7G55d924QQA99RQR0cSJBJBtnr3U6XSW/5rc3Nxz585ZXSonJ+f69evnz593dHR0dHRUU+phTp0igOrXJyLq3ZsAsmoS+5FMJpNy4zZt2rRivfAxDSGpGPAVQnko5L333hNYs+DxsQLL3paeTgB5exMRTZhAAC1aJL4VogkTJgBo0aKF2WyeO3euo6OjdeccHT16tGrVqsrxmqNGjYLtzpw9eZIAatiQiKhXLwJIxCku91u7di2sOk/68Q2h5fy3WbNmlXDTu3fvBlC+fPm0tDSxlQseHytYWhoB9PTTRETjxxNAQp+xVsTFxSk3CCdOnEhKSlLmmfbv329FKcshR3/88ceNGzeeeuop2OiRUY2GAGrUiIioZ08CaMcO4Y1otVofHx8A27ZtK+5rH98Q0p3Ted3d3a9cuVJijRoMhtq1awNYtmyZ8OIFj48VXpoAqliRiCgoiABaskRwE3duEN5//30iGjBgAO6cUmQdZeS5QYMGJpNJWbjv5+eXJ3z1+YkTBFDjxkREPXoQQKrP672fsuKyZcuW0pat2Y4ysfb222+XWIufffYZAH9/f/E/DUR05/jYRo0aC15ffe0aAVSpEhHR2LEEkOg3kV27dkHoSdGWVccbNmzIy8tT3vu++OILcV0mIqLjxwmgl18mInrjDQLop5/EtnD+/HnlYdrTp09b8fLHPYQlfDpvSkqKcqX65ZdfbNSEXq/v0mV49eoxq1cLrZuSQgD5+BARffABAST0p9lyg/DFF19YnmRVv/GmZUM9rVZrCXl6erqILt8REUEANW1KRNS9OwG0a5fI+kRDhgRBxS7Yj3sIiejDDz9EST1OMWjQIAC9bLz0OTT09p2jwNmKvLxkjQZnzjxLRMkXxp/9o1x68gph1e9cwJUbhNWrVwOoUqWK+i2ozWZzixYtAHz88cd059iWcePGiejybfnxf2WNaZ214G0iylo+JmtMa8Npke+wP/1E9vamTp02Wv3e8QSE0DIm/v3339u0IesmeazzyisE0OTJwgrm5SVpNDhzpjIRXb48SqNBWtpyUcUtNwj79++3nBQdKmi2LSIiQvm2//PPP1FRUcp0RWRkpJDiRJSVdVSjQXR0cyK6cKGrRoNbt6x/6Pweubn0wgsE0HIV3+wnIIR0Z/C3SpUqtpuusHqSxzp//0329uTsTHFxYgoaDIkaDc6efY6ILl/+P40GaWnCroQDBw7EnU1Mxo4da/UIxMPr9+vXj4jef/99AF27dhVVPDMzXKNBTEwLIrpw4TWNBrdu/Syq+Jw5BFBAAOXnW1/kyQihyWRSlsPOmTPHRk1YPcljtaFDCSBBp8eSwXBZo8HZs88T0eXL72k0SEtbJaSyZQ8V5UqlZgTiQSzTFYcPH05LS1N2V9i3b5+Q4pmZf2o0iIlpSURxcZ01Gmi1YionJZGHBwF06JCqOk9GCIlIWYnn4eGRnJwsvLhlksfWd7wFXbtGXl4E0K+/CqhmMCRoNDh7tioRJSSM1Ghw/bqAkZ97xmA6deoEYMyYMeor30M5+LZhw4Ymk2nhwoUA6tSpI2SAOjPzsEaDmJhWRBQX10mjgVYr5nfC/v0JoLfeUlvniQkhEb355puwzYEwaiZ51FBuZurVE7AdjMHwj0aDs2erEVFCwrsaDa5fF7C9xZo1ayxjMD/++COAp556SvDoJREVOPdv06ZNlpHYr776Sn1lnS5Mo0FsbGsiiovrqNFAq7VmdcE9jhwhOztycyMVczS3PUkhjI+PF76ek1RP8qih11O1agQI2A4mNzdeo8G5czWIKCFhuEaD69e/VlnTcoMQGhqq1+urV68OYMUKkYOuBX3zzTe4s5Huzp07RQVepzuk0SA2tg0RxcW112ig1aq99zCZqHFjAkjFbqN3PUkhpDu7P4l6skHRuXNnAKNGjRJVsFi2baMBA0j9iqD8/LSEhJHJyR8RUXr6poSEkZmZ4SprKufeKTcIyp56AQEB+WqGIB7Kcu6fMjbWoUMHAOPHj1dZVqf7XaNBbGxbIoqNbafRQKf7TWXN3bsJoKpVKSdHZSWiJy6EOp3O8t4spKDyjqusAhFS0ArK7jDKHWlUFKkZe9JqD1y5MjYpabJeH6WyVwVvEBITE5WBk0MqhyAe5dixY5Zz/yIjIx0dHZ2cnGJiYtTUNJvzjcYMo1GXl3c1Nzc+NzfeZBIQnT17SNDI0ZMWQiJSZoorV658Q/XGdbm5uS+88IKo3z2s9vXX5ONze6XnkSPUr5+VdbKz/z5/vkF29gmtdp/6ECpjMMrhIn379gXQt29flTWLon///gAGDBhARCNHjoSIY0jy8pLOn2948eKb0dHNMjOPWFdk7Fhq3Pj2e+Xy5fTZZyo7ddfj+GT9w5lMppo1a16+fNnFxUXZMB+Ag4ODMpv8cI6Ojsp+4Yq4uLgzZ87UrVv31KlTRdklxUbWrcPly9i5E/v24coVfPklPvgAkZGFfKWbGzp12uPklHv/p5ycnjEab6Snr61Vaw9gB8Bg+MdgiH9Qo7m5DomJD/yOHTp0KDg4uHz58nFxcbGxsa1atXJ1dY2OjlaWetpUUlKSr6+vXq8/fPhw7dq1a9eurdVqf/nlF+VNwTqpqYtMpsxnn52hpmPjxuHIEQwditGjsWIFdDp8+KGaendJ+8mzmoODw4QJE8aNG2cwGE6ePKmyWvny5V955RWJCVS4umLWLAQFYcIEAPj+e3z5ZeFf+eefo93cEu//+7Jlu9Wo8V16+rrz51/09h5aseK4jIzNV69Of3CbAY0bRz34s3B2dg4ODn766af37dtXpkyZ4ODgEkgggOeee27ChAlz5szZtWvXwoULp06d+uGHH/bo0eP+nbVcXFzc3d0BfPqpX926MQ8q6O09rEyZxleufODu3rBs2dfs7BxTUmbfurXrni9zcPC0s3MMCtqXl1fID0ObNgAQHIxZs/Dmm+r+hfd58kIIYOzYsY0bN75y5YpyMwnAZDLpdLpHvtBoNGYW2P3u3Llzs2fP3rp168yZM5VDvyXq2RNff42DBwEgMBAGQyFfk5MDb+/OLi637v+Uu3tje/sytWrtzsu7kpw8JTl5qpvbS15eD9xTTK+v1KiR64M+m5iYmJaWpuydN3jw4Hbt2pUvX774/yYrTZkyJTAwUHlsysPDw87OzmAwKLv1FCory9tguPSgzxqNqV5enapWXZ2evi4paUKtWnvy8hJycgp/+z54sPDvfIUKqFABHh6YPh0TJ6Jly2L/ox7iybsdFeu1117bt2/fqFGjli9fLqsP69YhNRUhIYiPR7NmaN8e332nqqBOd+D69dU1a/5odYVLly75+/vn5+cfP35cebRaips3b9auXTs9PX3Tpk3dunW757MGgyEnJweAt7edq+sDf4zt7d2dnHyUP6elLTMY/qlUabzRmH7Pl5lMmUTGEyfaEdndX8THB2vXomNHdO2Kjh1RoQJefFHY7eiTNzAjlsBjFa0WGkqWubd582jsWCvrZGRsj4vrkJDwblRUgPqpsEmTJuHONhYqS1lNOWzv1VdfVVknMzM8KyvCYPgnPr6v1evax44l5XiHmBhydRU5MPNfDyGJ+5+2zu7dNG8e5eaqrWM2G43GDIMhSa+PMZkELHO3zAb9YJsdWR7Jsk71zJkzKktlZ2sSEydcujQwNfVLs9nK1Unff0+WN+p162jfPjKZVPbrNg4hWY5V3LNnTwk3rddT9eoE0IYNakvl5JzWaBAVVY+I4uP7aDTIyFA7lbpy5UoA1atX1+v1avtXfMqzheq3QtTrzyclTUlP30hEaWnLk5KmGAxWnuZpERNDnTqRqM2POIRERCqPVbTazJkEUN26qh6EUWRnn9JocP58fSKKj++t0SAjQ+3Gfkaj8aWXXgIwb948tf0rJmWbViHL1m7e/EmjwcWLbxBRdHQTjQZZWWp3abAsHLX2cN5/sRf0q+WTbfTo0QEBARcvXlyxYkWJNZqUhAULAOCrryBiisQMAFD+Q5VRikIGGIrFwcFBeXv69NNPU1JSVFYrOr1eHxwcDGDu3LkituW++90gMgOws1P7Yx8YiN69odejOOe+PBCHEAAcHR3nz58PYNasWenp946b2cikScjORr9+ovaqF/+jBqBt27ZvvPFGZmam8qhRyViwYEFCQkL9+vUFHXch/u0JwPz5cHXF5s346y+1pTiEt3Xt2rVz5843b96cacvTQiyOHEFoKNzcMG+eqJIFf7yE/agBWLRokYuLy7p169QvjSiKpKQk5XnCpUuXCjk8h4gA2NkJ/s5Ur47x40GEoCConObjEN61ePFiJyenlStXRha6ZkwckwmjR4MIISEQtQrl31c/kSGsWbPmmDFjzGazMmlhaxMnTszOzu7fv39rYafZFLwSFvyzWiEheOYZHDuGbdtU1eEQ3lWnTp2RI0eaTCblGV/bWb0aZ87g+edvL1IT5N7bUVEhBDBt2rRKlSqFhYXt2LFDVM1ChYeHb9++3d3dXdn9VZCC35mCV0W1PDwwZw4ABAcjJ8f6OhzCf5k1a5a3t/fBgwf37t1royYyMjL+979dnp60ZAnc3YWVdUm199vYusoePwCVwqu+sKO1W7KLqOJeXl7K74TBwcGGQpd1iWAymZSNM0JCQgSuU7XdPQKAd95B48ZISsLixSqqCBhhLV0WL14MG+3HTliKHncAAAaUSURBVEREY8aMAdCjx3DBdY8cIYACA4mIunYl4Pb6DkGMRuOLL74IYP78+QLLFvTVV18BqFGjhuBpya1bCaD+/YmI6tYlgIQe/xQWRgEBWU2ajLN69yMO4b3y8vJ8fX1hm7MolAdVHR0dxa+SCw8ngFq0ICJ67TUC6GdhG/spDh48CMDT0zMlJUVsZSLKyMhQ1tDvFH5QxJYtBNCAAUREAQEEkLhNTRUqD2vgEBbCciqT8B2N2rZtC9E7TN/2558EUMuWRESdOxMg7MHvApRV1CNHjhReWTkdrV27dsIr0+bNBNCgQURE/v4EUJTaJ57vofKwhifyUSZb69atW6dOnfbv3z9r1qxly5aJKhsaGnro0CFvb+9PhEzx3kMZJleGHAr+WaglS5YcOHDg66+/HjlypLIT7PXr18PCwtzd3V1cHv0raNmyZe3t7w5DBAQEuLq6AoiKilqzZo2jo+OSJUuE97kEvjPVq1cPCgqaN29eUFCQclROcXvICiF8P/acnJxq1aoBWLNmjZCC9woLI4BatyYi6tiRALLq2MBHGj9+PIC2bdveaTbM6p9dy+Yxbdq0ARAUFGSLDtOmTQTQkCFERL6+BJC6TWsKpeawBr4SFs7f33/EiBErV66cPHnyzz//rL7g/PnzExISGjRoMGzYMPXVClHwPd5sBgB7mwx9T5s2bfPmzYcOHfrpp5969OhRoUKFPn365OTkFGXUVKvVmpW+AQCUy+C2bdvCwsIqVqxoq0U5Sos2vkfw9PScNWvWiBEjgoODu3Xr5l6cgW8O4QPNmTNn27Zte/fu7dmz56hRowq9x7C3ty9btuwjS509e3bhwoV2dnaiVoEUokRuRwGUK1duxowZY8aMCQoKateunb+/f2hoqNXVbt26NWXKFACffvqpsvu9eMp3Q3lLsuV3ZtiwYatWrTp58uTSpUtDQkKK/sL/+pP1D9e7d29l22n1nJ2du3fvrjwcYEN6PS5fhrc3HB3h6SlkYfj9jEZjtWrVkpOTXV1dAwICLH9v2fTl4dzc3JRrIICff/45JyfH19f3/Pnz9ra5dEOjwQ8/oHFj9O6NhQtx4waCgyFgXXghwsLC2rZt6+HhERcXp9ydFgVfCR9m06ZNOp3u5MmTDRs2LPQLzGazVqt9ZJ24uLiyZctOmzZNdAf/be5c7NyJhg1x4gQGD8b48TZqx9HRMSgoKDg4ODc3V8iC0qCgIFslEEDjxihbFitW4Icf8OKL+OQTlCljo6batGnTs2dPnU6n1+uL/iq+EpYWx45h0iT88QccHZGXh2bNsGED6tWzXYPh4eFXr16tWbOm5W9yc3OL8sOn1+uVXZuIKCIiolWrVj179rRdP3HlCjp2xIoVCAjAjz9iyxaEh9vojhRATk5OsX4hBIew9Jg7Fy4umDjx9oezZ8PLC+PGSe3T4+Gjj1Cx4t1vRadO+OQTwfulqcNrR0uLrKx/LUV1d0dWlrzePE4uXYKf390P69RB/AP3RJaCQ1ha+PnhzJm7H54+jTp15PXmceLtjZs3736YkQHZe8zeg0NYWvTti7/+wurViIrCl18iLg7du8vu0+Oha1ds3AijEQBSUnD0KFq0kN2nf+EQlhYuLvjjD2RnY+VKmM04dMhG8xNPni5d0KIFmjZFjx54/XWsWgUbTUhaiwdm2H+D2QytFiW4mX/RcQgZk4xvRxmTjEPImGQcQsYk4xAyJhmHkDHJOISMScYhZEwyDiFjknEIGZOMQ8iYZBxCxiTjEDImGYeQMck4hIxJxiFkTDIOIWOScQgZk4xDyJhkHELGJOMQMiYZh5AxyTiEjEnGIWRMMg4hY5JxCBmTjEPImGQcQsYk4xAyJhmHkDHJOISMScYhZEwyDiFjknEIGZOMQ8iYZBxCxiTjEDImGYeQMck4hIxJxiFkTDIOIWOScQgZk4xDyJhkHELGJOMQMiYZh5AxyTiEjEnGIWRMMg4hY5JxCBmTjEPImGQcQsYk4xAyJhmHkDHJOISMScYhZEwyDiFjknEIGZOMQ8iYZBxCxiTjEDImGYeQMck4hIxJxiFkTDIOIWOScQgZk4xDyJhkHELGJOMQMiYZh5AxyTiEjEnGIWRMMg4hY5JxCBmTjEPImGQcQsYk4xAyJhmHkDHJOISMScYhZEwyDiFjknEIGZOMQ8iYZBxCxiTjEDImGYeQMck4hIxJxiFkTDIOIWOScQgZk4xDyJhkHELGJOMQMiYZh5AxyTiEjEn2/z9WqVO/8xgCAAACUnpUWHRyZGtpdFBLTCByZGtpdCAyMDI1LjAzLjMAAHicpZFPaBNBFMZnZ5PJpt383exms5tsEkFokLZqFU81g+DJFEHBY1lUdAWtFUTxUoIgSA8VLU2gwqIRqYJFNDSebCZ4sQgtpBRRqRdPbdHoIVg8uftCD1oUwYHH93vs9z7e7LTmZz8i54Sdwqhzdji106kiR5DpKMf7UMZRvtNiTGiP23oItVzluX+BMGQQAcEs3tK/ZXW+/GHw951+UZ77r123hW5zdCMOcRhh3om2sMdreomFic/0CRbm/MjfJWB/t1MiEgMWDgTNYMjCoTAKRwQcjjolISmGYjKSFaTEUVxFasLCCc3UdAvrSTOZsrBiICONQhkzk7WwwJtZ0UxLKKWahzzuD/F4iU/gSSAYymRFEpMVIy2RhKYnU2q8wjnPhrbec+zbGn362WBu876nSc/I5brLorlON6WNQZetcpMeuDqXd3l6cZ1+sXupy9+9y7RdLAJnyQO6wDrcWhyn1O4DnixX6M0rNZj15CpUVkqQ/86qUPJw5qDLu9fu01rXLthh+Nhp+kqZAk+8sY/a1wLgeXv9cT53WQY2CpF8Vp0Ez8TzkfqSegd4o3q+npx+AZ49z0brkpiDzKNPdDaWuA2e0uAR9uZUL3ju2VPsxPB+4ObKLPug3QLPo5VVNq5PABfsNrtw/DB4tLOrTLo0D3d52d9mN+7uhTsulKONPn0A+GTVaNQuMvBElqKNzaEhmO0PlNi5rxrsU9UKLDqqA9uvZ/JiKwn849MAnRtJASs/Aam/pPN00Bp3AAAC/npUWHRNT0wgcmRraXQgMjAyNS4wMy4zAAB4nH1WW27bMBD89yl4AQvcB0XyM4mDoihiA03aO/S/90dnKIVSgEXtaGHJ493h7O4gl8TXz9uPP3/TfOntckkp/+ev955+W8758pb4IT2/fvt+Ty8fT8+fT14ev+4f78k8WcVv8P6Kffp4vH0+kfSS6mKSq/Z01cWbacGvljxex0813dO6lLV6q+kqi7RsLgHQtozqqo6vRbw2D3AOHBK23JsmWVxqzVG+suWzWhUsliratAS4dcvXHfWSL1lKdQ1wFbiyZOD6wKkVswDXgPNRdxXW1ea5B7i+5WuSs/EcWrxHdSWndwLXWvKmYCU0Qkp6EFmLdn5vWt0iaUQ3YOlVCru3IqWGKdkVY/uKbsVXr2GfhX3RpaF/jTKLNSlhSjZG2GjLA+ill5AlO5NH7bWN2t6lRiMhFRJd89KRFGcbUNQP1Ww4OqHqK+YCIpVW0NAA2XekZ80+VELSNUqKRPexBKbWt/pmpecIysW5GppYVhtzvoL1GiGVSF94fBnIWkUipsomXcsoDyVZHluWw21kl64rlTLboVkl2gtln66V9UvloEvXeNN03ZNKa1Y4y622+Ex1zwntsW3Yjp7jbVOu0bVDHs2YNyJbsaj52jckqtfO6gUGE24cLW7kxIkKT6Q5e4922GTXvnXJm79p7hpCdW8ooLsVaquhombb5AuXfiALskZTYvsywV77juwtnOfX++2LL29O/fy43w6n5lsPP8ZNssN1BZcf5sp3OTwUN2k9rNJx1cMRHVc7jM9x9cPfWEjOPsZbuNTJr7Ynk5yQHZ9MfjAgZ5BJUcgQQSZLIU0EmURhHTLC5AqLUAaZdLFK25PJWEiZwPNiC4NOzjrExN8h6FBUsYWnfRQGnZyxdsKgk7OSM4JOzkp1EXRyVgqMoJOzUmMEnZwxcs5g5ykf1W1yNnJGsMkZQ+vUx445oM4INjkbde7HaBgZm596Y1QZqQ69jIzH6c7zeZ5G3n/+z4HPl3+I9aAyDiMgnAAAAXd6VFh0U01JTEVTIHJka2l0IDIwMjUuMDMuMwAAeJw9Uktu7DAMu0qXEyAxrJ8lIXir7NtFj9Br9PCl5PYNEGBMkCJF+3l/PV/0VT86Pl//Po76Gnn9P77z8zzgSfPkeB4+wH/7fvkQmi7nxUNDeJ33GrZc87xoUEzR8waHlfmcg0g9tDkxM04aSu7NEHc+eThxSBNSNU4dk8yhsDFTrc4sBoK2YpWCQ6kJQTWQDeZ1XG7UKZzNGnEoJ8K4ylZYwhTRFygYKhUdf0q0FNNvHoHoWdElyDCYahnIgaglHO7ZqhUt0yTsc82RoBFvDNqNsa6qQSwsfyGdPLUzgAbHKlJYdn8iZXkJdrBV2Wlll3zpKM+O4U5Uw6yF1kI0j2TXqhiyF6KJK7gvL6F5CZP9j0WBa0F54dV+kRbPqHZzVv1Xwppn951RXQEpFUSGS6ZNwWTDZJ5TU3bKSKJ+HTyT9y6A9oPhQP3VKNXdFWJgdet4VLmRhMnx/QPXE4rYOYUrJwAAAABJRU5ErkJggg==</base64_image>",
"role": "assistant"
}
] |
Molecule_Visualization
|
CCP(=O)(OCc1c(F)c(F)c(F)c(F)c1F)OC(C)C
| 602,596 |
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YYGHir1/r4+Gzfvj0qKurgwYMDBw7csWNHx44dJa/wTt3zMLn50pUcKs0ln/vIO4hadaHLf9D5gxT4iGSj/PILEVGfPvU2hoZSYSEVFlJAgGQDSU0OK4SNa9WqlenP+fn5eXl53t7e4t6WrEgTQoPBcOzYsc2bN6elpYm/acTtwcHB0dHRgwYN6t+//x2eB+Pt7Z2RkTFo0KDMzMz+/ftnZGRYdI+2IygpOIKOp9DpbfTQ60REHaLo8h90eos0IdTrSacjnY5UKjK7MQQRkbjTzvtpZI0TU2c6uUJG51o0JDMzk4geffRRpVLJu5abtGQaLSoqEju9BldaxE6veSoqKiIjI4n77SWPrmLxxL6KrvtWkoWKoiKWksJGjWI+PmzOHLZzJyNiFn3Upk1MqWRabYsGsiaZN4Q3k21DyJrRE96205NqpUUWt5e8eaFinhdb+QjTN/Ez1tayPXvYjBmsd28mCIyo7uvFF5lWyzw82JIl9X7+xRdZv36SfQorkH9DaEG2DSFrUgjPnz8/fPhw88ObGo1m6NChSUlJLZn0GmG6152fn1/ZTz9ZY4jbS3qw3kJFbWUTXms+6ZmCp1aziAiWmMhMtwOaN495e7N161h5OSsuZnPmMJWKZWZK+jEkJs8Vwls5d+4cEXl7e+v1et61NKAJIaysrBTPRbDl6QU1NTWxsbFfhIczd3fG5faSf+5iF4+w8z+xrCSWlcR+W8cKf2ns5416djGLZc5iSSFsaP8b2QsOZuPHs9RU1uBf2uLFrH17RsQEgT34IDPdrKWkpOGf5022K4QNEq++H2K6dZDMCIyZrtK4vbS0tF69ejVyeNMqDAYaN44+/5zUavruO3riCZuOLto5k37+jNoPoNpKOrubOg+hYWvI/EoWbQGd3kqntlBeOunqjgmTrj+d8KGoKHrqKbr33tuPotWSkxO5utZ9e/UqRUaSuztt3kxNvVjbmrRara+vL2OspKTEw8NDr9f7+vpqtdqCggKbXcHUJGPHjl25cuUnn3wyZcoU3rU0oGlHR6Ojo61UR2OUSlq5ktzdaelSGjSI1q+noUM5lNGmJ8WkEBEVn6BlPajP36ldGBUeo7wMytlM+fuJrv868wmm4AjqFE33PUHKplwbaZG0ggI6d46KimjwYEpNlU8OuV9D2FQyXD4xZydXxwkCLV5Mzs6UmEjPP09ffUXDh3MrplVXcnajaxfomxfoeErdRmd3CnqMOkZRhyjyvleagbp0od27KSKCMjPpscdo61by9ZXmnVtG/iuE5uS8QiiykxASkSDQwoWk0dCcOfT887RyJY0ezaEMQw0dSSajnu5+iKpK6GJW3aQXHElOrrd/eVN17kx799Ljj9PhwxQZSdu3k5+f9KM0EVYIJca7KW26hARGxJRKZoPbS5YXsKOr2NX8uvNIxa9Pg9nxFMYYMzZ8kaj0zp5lHTowItatG+N9djtWCCVnPzOhSVwcCQLFxdG4cVRRQW++KfH7M8ONTu/8AWJGilpMRNT+UYr9jpxcyen62S2CrW4YGRhIe/dSZCRlZ9PAgbRjB7Vta6Ohb4KGUHJ2GEIimj6dNBp64w2aPJn0epLkkFdFUd3hzdztpCut2+ispqDHyCeItIWkdCZXHwkGap6AANqxgyIj6ddfaeBAysigdu24FIKGUHL2GUIiev11EgSaNIn++U8aPpyat2piMNBPP1HFDjqziQp+vnF4069z3SGW9gPqOr38A5JV3mz+/rRrFz31FB06RP37044ddN99tq/CoiEcNGiQ0WgcMGCA7Su5E3bQENpxCIlo4kRydaW2bW8k8Kef6LffSBCod2+q/3Dmei5fpsxMysig1FQqLKQpfcnrCDm5UWA/Co6gzoOpVVfLl7j5kOYua32QO+fjQ9u2UVQUHTx4duTImi+/tNlVJsXFxdu2bfv+++9/++03pVJ5//33i9t79uzZs2dP29TQDDI/aFSHd1MqkbIy9vjjzNeXRUezp59mXl7smWdYefmNH9Dr2f79bOZM1qcPUyhunMjSqRNbMpud3lp3dugdKv6d6fldl33t2sXBg+8LDLzrrrtMT3K3BoPBIN6RJTQ01HS/QHFK6devX1lZmfWGloqcTxk1cZQQjh7Nune/ceTw7FkWFMRef50xxr76isXGMj+/emdvPv00W7KENe+64S+fZvHE8jIkK77pTFeZmD/JXSqXL19OSUkZP378XXfdmPxdXV0jIiISEhJSU1PFf9kPPvjg5cuXpR1aWjI/ZdTEIUJ49SpzdmZmT8lijLGVK5mbG9Pp2KOP1jt7MyWl3gzZDBnvsnhi299p0Zu0WINPcm82g8GQlZWVkJAQERFhfjck8TzhlJQUcUFCdPbs2Q4dOhBRt27dJHkatpXI/JRRE4cI4f79jIhZPKM4O5sRsV9+YV9/zRYvZqdOSTbcn7tZPLGl3SR7w+Zq8EnuTdL4pJeVlXWrFxYUFIgXW3fp0uWCXB+VI/8VQpFDhFC8LvbKlXob8/MZEbPGhYiGWpbgzeKJlXG+VR6r/yT3jIw72kO+1aQXFBR086TXCNONuYKCgvLy8lr2OazCLhpC5iAhFCe9X3+tt1GcHq1zoSNbP5zFE8tabpU3byLTk9zVanUjD6xu9qTXiJKSktDQUJLJjbnqs5eGkDlICA0Gdvfd7IMP6m18+23WqZO1Rvz5MxZPbJ1cmo1bPcldqkmvEWVlZX379iUiax+qbSp7aQiZg4SQXT8Mk5zMyspYSQn79FPm4mJ5qEZC5RfrbnvR1PtcWI35k9wXLVoUHx8/fvz4tmZnt7Vw0muEVqt97LHHiKhNmza/WuyP8GMvDSFznBAyxlavZh071h0I7daNbdhg3eH+ez/3hYqbTZ8+nYgs7v0zadKktLS0iooK641rWjLx9fU9fPiw9QZqhLb+fbHspSFkDhVCUUUFq2zKbWCaTVyo2DbNFmM1xYgRI5ycnPz8/OLj4//44w+bjSvtkskdqqysTE9Pj4uL69q1q/mepx01hMwBQ2gzslmouBmvx8uZlkw0Gk2mNW9UlZOTs3DhwieeeMLV1dV8zjc9hsmOGkJml5cyyUS7MHL1puITVJpHPsG8q6mH1/PGVSpVSkrKq6++umbNmujo6I0bN0ZEREj15lVVVfv27cvIyEhNTf3999/FjQqFIiQkJCIiIjo6OiwszHRunX2cMmrC+7eAPUsZweKJHf4v7zrkxbRk4ubmtnXr1ha+W25ublJSUkxMjMbsFjt+fn4xMTFJSUkNnq9jNBrbt29PdtIQMsyELdLxaeOfe079nt25z+1/9q9DqVSuWLFCo9EsXrx48ODB69evH9rEG3M1PulFRESEh4ebr7iItFptZmZmWlpaWlqaTqdzd3e/+WdkivdvATt2qfCCUqFwd3eXyyO+5cRoNIr3F3R2dv76ztaKmjfpHTlyZO7cuY888oj5FYPiVf8BAQHZ9vDEVYSwRXr37k1E6enpvAuRqffff5+IlErl559/3uAPmA5vduvWzRQhcdKLi4tLT083f8q8iVarTU1NHT9+/D333GN6lVKp7Nevn7gQqtVqxfsR+/j4HDp0yMqfsqUQwhaZMWMGEU2dOpV3IfKVkJAg5uqzzz6z+E8bNmxwM3scVatWrV544YW1a9fe6pHp2dnZ4tk/KpXK9Ko2bdqMGjUqJSXF4vrG6upqcTfY29v7wIED1vp4UkAIW2TPnj1E1LVrV96FyNr8+fOJSBCExMRE8+0nTpxo+aRnNBpvNW51dfXw4cOJSKPR7Ny5U/oPJhGEsEXEO8ATUW5uLu9aZG3ZsmWCIAiCsGDBAvPtt5r0cnNzExMT73DSa4Rerx89ejQRqdVq2XYNCGFLjRgxgojMn40ODUpOThbX8eLj4xv8AdOk187sRnJKpTIkJGTWrFmNT3qN0Ov14nmkLi4umzZtatmHsAqEsKVWrFhBRIMGDeJdiB348ssvxWWDuLg400apJr1GGI3GN998k4hUKtW3337b8jeUFkLYUgUFBYIgYKHiDq1fv97Z2ZmIhg0bNnbsWPPrPJydncPDwz/66CNrXIphWjJRKpVr1qyR/P1bAiGUABYqmmTz5s0qlcp0x25/f39x0istLbX20O+++y4ROTk5/SCnSx/t5JQCeYuKijp27NiWLVskPFXSgUVHRwcGBp4+fXrChAkTJ0605b2x582b5+rqerpHjw+qqsqLi59r3dpmQzeiaQ8JhQbt3bt3wIABXbt2PXHiBO9a7MCVK1f8/f1dXV1LSkq4nGv+RVHRovPnBaKp7dqN9Pe3fQEWbPVIE4cWFhbm6+v7+++/Z2dn867FDuzatctoNIaFhfG62mN0mzYzAgMFogX5+SsKCrjUYA4hlEBlZaVOp1MoFCkpKbf/6b88OVxnNLx16xnt2yuI/nvx4uILFzhWQghhy9XW1g4dOrSyslIQhOeee453OXZAJg9yGtaq1b+CgpSCsLqwkG8OEcIWMRgMo0eP3rlzp4+Pz4YNG8T74UIjrly5cvz4cbVa/dBDD/GuhZ709Z0TFOQkCKsLC+efO8fr6AiOjjaf0Wh85ZVX/ve//3l5eW3fvr1PH1xWeHvcG0ILkT4+rgpFXF5eSnGxnujdwEDbz0uYCZuJMTZx4sS1a9d6enoigXdODg2hhf5eXv+57z4XheLb4uJZZ84YbL5egJmwORhjb7zxRnJyslqtTk1NFe9CDXdCJg2hhTBPz8UdOrydm7ulpMRA9G67dmUGg/kP3K1SKc1uJCktrBM2R1xc3Pz5811cXDZu3PjUU0/xLsducF8hbNxRrXby6dOd3NyifH0/ys/3MrtUf03XrgFmp7ZKCzNhk82cOXP+/PkqlWrDhg1IYJPIrSG08IBG83+dOt3j4rKjtPQulWqTrQ6zIYRN869//Wvu3LlKpXLt2rXR0dG8y7EzMmwILXRWq20/KELYBImJiR988IF4Gn5MTAzvcuyPvnfvruHhcmsIG1RtNB68dk38cytn5w5mt+GQHEJ4p5YsWTJlyhRBEJYvXz5y5Eje5difq3p91v33+z7wQGjv3rxrub2rev2S6yv4fT09O9x9t/XGQgjvyKpVqyZPniwIwrJly8aNG8e7HLt0pLzcSNRLo1FZ7TCjhPxVqrVdu9pmLITw9tasWTNu3Dij0fjxxx9PmDCBdzn26ohWS0QhZvcUBREW62/j22+/HTNmjNFonDdv3jvvvMO7HDt2pLyciEI8PHgXIjsIYWM2bdoUGxur1+tnz54tXpQNzXNVr8+rqnJVKLq5u/OuRXawO3pL6enpsbGxtbW1U6dOFe8kDc1mXw1hpK9vXy8vmw2HEDbsxx9/HDZsmE6nmzx58oIFC3iXY/fsqyF0UyjcFLbbScTuaAMOHDgQFRVVUVExduzYhQsX8i7HEaAhbARCaOno0aPPPPOMVqt9+eWXk5OTBXvYfZI5NISNQwjr+eWXXyIiIkpLS0eMGLFixQqFDfdJHJh9NYS2h39kN+Tk5Dz55JMlJSXDhg1bt26d+fPuoCXsqyG0PYSwzqlTpwYOHFhUVPTkk0+uW7fObh7yag/QEDYO/9SIiM6dOxcZGVlQUBAREbFx40Z5Xmhjp4yMtXd11RoM3dEQ3gIu6iUiCgsLO3DgQHh4+Pfff6/mcTGL46kyGotrasy3BKhUKvTYDUEIiYhOnTo1c+bMFStWaNC3SGTv1atTT5/2MdurX9SxYxf8gmsIQghWsffq1X/m5e154AHehdgB7B4AcIYDM2AtBiLTxeleTk5dsS96CwghWEut0bj0+sXp3dzduwYG8q1HthBCsBZXhWKNrS5Ot2voCQE4QwgBOEMIATjDOiFYRY3RWKbX+1vt1vGOBCEE4Ay7owCcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIaJCVtcAAADVSURBVIQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnCGEAJwhhACcIYQAnP0/0yfn13HxoakAAAGGelRYdHJka2l0UEtMIHJka2l0IDIwMjUuMDMuMwAAeJx7v2/tPQYgEABiJgYIEIXiBkY2hgQgzcgMoZmY+BkUgDQrB4MGkGJm4gBzmWCybA5gYRYYzQmWZqSEi2IDM5p7GJm5GRgZGJkYmJg5mJhYGFhYGVjZGNjYM5jYORjYORM4uRg4uTOYuHkYuHkTePkYePkzmPgFGJgEGQSFGISEGYREGPjZEpwYgUaxsfHzcnOyi7MBOYwMsHAQ2ht4gH2z5gEQ5xMj/4FtcSf3g9hcmZoHZhqy7QOxFS84Hwi4tNwexJ5gOWv/e/kJdiD2/omM+9rvOIHVe6etsA9p2ARWX/r9mn3kkl6weqsHkvY+vZwOIPaf4+4OHUWHwOITBeIdqqPtwOJXUtsclD9+Bpv5tXuLw/spyWA1ws2lDt4TqsDmJzjPdTCKZwS785KZpEOI2CawuM07RodEXTOw+NJbTQeOaHCDxWtilh4oa/8PNtNwx8wDPmq/wGbOabp84KXVRlsQWwwAFs5fNKwVhZEAAAIIelRYdE1PTCByZGtpdCAyMDI1LjAzLjMAAHicfVRLblsxDNz7FLqABQ4/kriM47QoithFm/YO3ff+KKkgfQoi9D1LkOjxiOIMfSr5fL9+/f2n/Hv4ejqVQv/5uHv5JUR0ei65KJenz19u5fHl4fIWebz/vL38KIz8UL7vsQ8v9+e3CMpjOUvl3tGsnLk2gxkXqjSf47ecSK4sqq7ljGpdmGSDlPJtMmknaeVMFQJS3yC13PN0Mrc+CqoAoLYBWgJRmXSMTI4HMouPwJZZxoncTCRXvQHB/RHZA5knWmNOoOhoYhvgmMDWXbnHIhK0LaGXTxFtBIqvuUaCvL00QqEikSJsIAgNDqYdEMEoVYfJaMHoXUV2l0ZqoxXhDUki7U33R0swWijDNPKqYwx37IA6cxzSwJbV8T6CdIe0oNTqUO2ashNDt3VEasNVXLwj1RSHbNVGD85gEkJryTm02b5EI42hlYbDKRO1OHx/JU9rWEXrJlkcdaexI+UUKEgHSY96o7opb93Gs31aiO7tFTDCdztzPN2u7/rutRMv99v16MR8+Wi32BQ5eio2RY/GQWztaA/EaEcTIEY/nK4xxuFnxPDDtpqh1Z6YExYf6ozwYjjMSRZn6YzoYiHMyRar6Iy0xRKYU1+kz5thLApjTr4IiZx4Few1gkWYPOeoQdZ/rXbu3/4zY336C/7lB8mCsGPhAAABEnpUWHRTTUlMRVMgcmRraXQgMjAyNS4wMy4zAAB4nFVQSWoEMQz8So7d4BbaF0xODXOd/GG+kcdH6lsMBlOuTbrvn+P7fR7v+0Of43X+u/Q63/dxn/fX73EJcAT5uhjcyGztfrGo1roILIQfxDVQ14VAQth/u4VoZbkIhPo0QsComQuBk7S0oeazm8gow4ki1x6BOQ8kmi42kEeptBeht+dGcCRsNkM7cVOkneiJMyriATRNqhkV2glbgapKOl7Dp/+2rs04hTKzikaU4vTUqcimjaxINWYByP1am0FKKmZ+qZ53EBSkh5PqNitRwCyqcTIVG/PLgDxMp0FV5w4rUWIGK1OetXlPVl7NwezNJK3z9w+KkFcyjPYK0QAAAABJRU5ErkJggg==</base64_image>
| 332.205 | 4.5367 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'CCP(=O)(OCc1c(F)c(F)c(F)c(F)c1F)OC(C)C'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Solubility_Prediction
|
C1=C(c2ccccc2)C(c2ccc(OCCN3CCCC3)cc2)Oc2ccccc21
| 131,205 |
{"log_s": -5.49, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 397.5180000000001, "logp": 5.84, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 3}}
| 397.518 | 5.8355 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'C1=C(c2ccccc2)C(c2ccc(OCCN3CCCC3)cc2)Oc2ccccc21'.",
"role": "user"
},
{
"content": "{\"log_s\": -5.49, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 397.5180000000001, \"logp\": 5.84, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 3}}",
"role": "assistant"
}
] |
Solubility_Prediction
|
CC(C)(C)OC(=O)NC(Cc1ccccc1)C(O)CNCC(O)C(Cc1ccccc1)NC(=O)OC1(C)CCCC1
| 481,885 |
{"log_s": -4.25, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 569.7429999999999, "logp": 4.1, "oh_groups": 2, "nh_groups": 3, "cooh_groups": 0, "aromatic_rings": 2}}
| 569.743 | 4.104 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'CC(C)(C)OC(=O)NC(Cc1ccccc1)C(O)CNCC(O)C(Cc1ccccc1)NC(=O)OC1(C)CCCC1'.",
"role": "user"
},
{
"content": "{\"log_s\": -4.25, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 569.7429999999999, \"logp\": 4.1, \"oh_groups\": 2, \"nh_groups\": 3, \"cooh_groups\": 0, \"aromatic_rings\": 2}}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
ClC1(Cl)OC1(Cl)Cl
| 27,973 |
{"donors": 0, "acceptors": 1}
| 181.833 | 2.2794 |
[
{
"content": "How many hydrogen bond donors and acceptors are in the molecule with SMILES 'ClC1(Cl)OC1(Cl)Cl'?",
"role": "user"
},
{
"content": "{\"donors\": 0, \"acceptors\": 1}",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CN1CCN(C2=Cc3ccc(Cl)cc3Nc3cc(Cl)ccc32)CC1
| 551,166 |
{"chiral_centers": 0, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 0, "chiral_center_details": [], "stereogenic_double_bonds": 1, "max_stereoisomers": 1, "potentially_meso": false, "stereochemistry_complexity": "None"}
| 360.288 | 4.7959 |
[
{
"content": "Determine the stereochemistry analysis of the chemical structure 'CN1CCN(C2=Cc3ccc(Cl)cc3Nc3cc(Cl)ccc32)CC1'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 0, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 0, \"chiral_center_details\": [], \"stereogenic_double_bonds\": 1, \"max_stereoisomers\": 1, \"potentially_meso\": false, \"stereochemistry_complexity\": \"None\"}",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
Nc1c(Cl)cncc1Cl
| 89,888 |
3,5-dichloropyridin-4-amine
| 163.007 | 1.9706 |
[
{
"content": "Provide the systematic IUPAC name for the compound 'Nc1c(Cl)cncc1Cl'.",
"role": "user"
},
{
"content": "3,5-dichloropyridin-4-amine",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
CN(C)CCCc1c2ccccc2nc2ccc(Cl)cc12
| 287,683 |
["GHS08", "GHS09"]
| 298.817 | 4.5356 |
[
{
"content": "What safety pictograms should accompany the chemical 'CN(C)CCCc1c2ccccc2nc2ccc(Cl)cc12'?",
"role": "user"
},
{
"content": "[\"GHS08\", \"GHS09\"]",
"role": "assistant"
}
] |
Molecule_Visualization
|
O=C(CCC(=O)OCc1ccccc1)Nc1cccc(C(F)(F)F)c1
| 1,010,092 |
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</base64_image>
| 351.324 | 4.1675 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'O=C(CCC(=O)OCc1ccccc1)Nc1cccc(C(F)(F)F)c1'.",
"role": "user"
},
{
"content": "<base64_image>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</base64_image>",
"role": "assistant"
}
] |
GHS_Hazard_Statement_Identification
|
Cc1ccc(C(O)=C2C(=O)C(=O)N(c3nc(C)c(C)s3)C2c2ccc(F)cc2)cc1
| 1,547,476 |
["H225", "H301", "H350", "H410"]
| 422.481 | 4.83376 |
[
{
"content": "Identify the GHS hazard codes associated with the compound represented by 'Cc1ccc(C(O)=C2C(=O)C(=O)N(c3nc(C)c(C)s3)C2c2ccc(F)cc2)cc1'.",
"role": "user"
},
{
"content": "[\"H225\", \"H301\", \"H350\", \"H410\"]",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
Fc1ncc(Cl)cn1
| 583,264 |
{"donors": 0, "acceptors": 2}
| 132.525 | 1.2691 |
[
{
"content": "Calculate the hydrogen bonding capacity (donors and acceptors) of the molecule 'Fc1ncc(Cl)cn1'.",
"role": "user"
},
{
"content": "{\"donors\": 0, \"acceptors\": 2}",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
Cc1c(C(=O)O)nnn1-c1ccc([N+](=O)[O-])cc1
| 1,990,461 |
["GHS01", "GHS03", "GHS05", "GHS08"]
| 248.198 | 1.18212 |
[
{
"content": "List all appropriate GHS hazard pictograms for the molecule represented by 'Cc1c(C(=O)O)nnn1-c1ccc([N+](=O)[O-])cc1'.",
"role": "user"
},
{
"content": "[\"GHS01\", \"GHS03\", \"GHS05\", \"GHS08\"]",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
COC(=O)C1=C(C)NC(C)=C(C(=O)OC)C1c1cc2cc(OC)ccc2nc1Cl
| 1,170,178 |
416.86
| 416.861 | 3.4776 |
[
{
"content": "Provide the molecular weight for 'COC(=O)C1=C(C)NC(C)=C(C(=O)OC)C1c1cc2cc(OC)ccc2nc1Cl'.",
"role": "user"
},
{
"content": "416.86",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CCCCN(CCCC)CCC(=O)c1ccc2cc(Br)c3ccccc3c2c1
| 408,533 |
{"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"}
| 440.425 | 7.2305 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'CCCCN(CCCC)CCC(=O)c1ccc2cc(Br)c3ccccc3c2c1'.",
"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
|
CCOc1ccc(N2C3=[N+](CCCCC3)CC2(O)c2ccc(-c3ccccc3)cc2)cc1
| 1,585,796 |
427.57
| 427.568 | 5.4026 |
[
{
"content": "Determine the molecular weight (in g/mol) of the chemical with structure 'CCOc1ccc(N2C3=[N+](CCCCC3)CC2(O)c2ccc(-c3ccccc3)cc2)cc1'.",
"role": "user"
},
{
"content": "427.57",
"role": "assistant"
}
] |
Solubility_Prediction
|
CC(=NNC(=O)c1ccc(Br)o1)c1ccncc1
| 872,059 |
{"log_s": -2.48, "solubility_mg_ml": 0.001, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 308.135, "logp": 2.59, "oh_groups": 0, "nh_groups": 1, "cooh_groups": 0, "aromatic_rings": 2}}
| 308.135 | 2.5911 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'CC(=NNC(=O)c1ccc(Br)o1)c1ccncc1'.",
"role": "user"
},
{
"content": "{\"log_s\": -2.48, \"solubility_mg_ml\": 0.001, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 308.135, \"logp\": 2.59, \"oh_groups\": 0, \"nh_groups\": 1, \"cooh_groups\": 0, \"aromatic_rings\": 2}}",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
COc1cc(C=CC(=O)O)cc(Br)c1O
| 244,669 |
{"chiral_centers": 0, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 0, "chiral_center_details": [], "stereogenic_double_bonds": 1, "max_stereoisomers": 1, "potentially_meso": false, "stereochemistry_complexity": "None"}
| 273.082 | 2.2611 |
[
{
"content": "Determine the stereochemistry analysis of the chemical structure 'COc1cc(C=CC(=O)O)cc(Br)c1O'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 0, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 0, \"chiral_center_details\": [], \"stereogenic_double_bonds\": 1, \"max_stereoisomers\": 1, \"potentially_meso\": false, \"stereochemistry_complexity\": \"None\"}",
"role": "assistant"
}
] |
Molecule_Visualization
|
COC(=O)c1coc(CN(C(=O)Nc2ccccc2Br)C(C)(C)C)n1
| 1,197,718 |
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</base64_image>
| 410.268 | 4.0563 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES 'COC(=O)c1coc(CN(C(=O)Nc2ccccc2Br)C(C)(C)C)n1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CC(C)C(C(N)=O)C(=O)O
| 568,487 |
{"chiral_centers": 1, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 1, "chiral_center_details": [{"atom_index": 3, "configuration": "?"}], "stereogenic_double_bonds": 0, "max_stereoisomers": 2, "potentially_meso": false, "stereochemistry_complexity": "Medium"}
| 145.158 | -0.1715 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'CC(C)C(C(N)=O)C(=O)O'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 1, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 1, \"chiral_center_details\": [{\"atom_index\": 3, \"configuration\": \"?\"}], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 2, \"potentially_meso\": false, \"stereochemistry_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
Solubility_Prediction
|
COc1ccccc1C(=O)NC(NC(=O)c1ccccc1OC)c1ccc(F)cc1
| 983,492 |
{"log_s": -3.94, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 408.42900000000014, "logp": 3.7, "oh_groups": 0, "nh_groups": 2, "cooh_groups": 0, "aromatic_rings": 3}}
| 408.429 | 3.7015 |
[
{
"content": "What is the solubility prediction for the compound represented by 'COc1ccccc1C(=O)NC(NC(=O)c1ccccc1OC)c1ccc(F)cc1'?",
"role": "user"
},
{
"content": "{\"log_s\": -3.94, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 408.42900000000014, \"logp\": 3.7, \"oh_groups\": 0, \"nh_groups\": 2, \"cooh_groups\": 0, \"aromatic_rings\": 3}}",
"role": "assistant"
}
] |
Functional_Group_Identification
|
COc1ccc(-n2c(SCC(=O)Nc3ccc(Br)c(C)c3)nnc2-c2ccccn2)cc1
| 1,844,735 |
{"ether": 1, "amide": 1, "sulfide": 2, "halogen": 1, "phenyl": 2}
| 510.417 | 5.13962 |
[
{
"content": "Determine the functional group identification of the chemical structure 'COc1ccc(-n2c(SCC(=O)Nc3ccc(Br)c(C)c3)nnc2-c2ccccn2)cc1'.",
"role": "user"
},
{
"content": "{\"ether\": 1, \"amide\": 1, \"sulfide\": 2, \"halogen\": 1, \"phenyl\": 2}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
C1=NCCc2ccccc21
| 76,705 |
131.18
| 131.178 | 1.6616 |
[
{
"content": "What is the molecular weight of the compound with SMILES 'C1=NCCc2ccccc21'?",
"role": "user"
},
{
"content": "131.18",
"role": "assistant"
}
] |
Solubility_Prediction
|
CCOc1ccc(NC(=O)CSc2nnc(CNC(=O)c3ccccc3)n2C)cc1
| 1,315,770 |
{"log_s": -3.69, "solubility_mg_ml": 0.0001, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 425.51400000000007, "logp": 2.87, "oh_groups": 0, "nh_groups": 2, "cooh_groups": 0, "aromatic_rings": 3}}
| 425.514 | 2.8746 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'CCOc1ccc(NC(=O)CSc2nnc(CNC(=O)c3ccccc3)n2C)cc1'.",
"role": "user"
},
{
"content": "{\"log_s\": -3.69, \"solubility_mg_ml\": 0.0001, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 425.51400000000007, \"logp\": 2.87, \"oh_groups\": 0, \"nh_groups\": 2, \"cooh_groups\": 0, \"aromatic_rings\": 3}}",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
CONC(=O)Nc1ccccc1
| 254,026 |
{"predicted_classes": ["enzyme_inhibitor"], "class_scores": {"kinase_inhibitor": 0, "gpcr_ligand": 1, "enzyme_inhibitor": 2, "ion_channel_modulator": 0}, "bioactivity_likelihood": "Medium", "drug_like_properties": {"molecular_weight": 166.18, "logp": 1.37, "hbd": 2, "hba": 2}, "structural_complexity": "Low"}
| 166.18 | 1.3695 |
[
{
"content": "What is the bioactivity prediction for the compound represented by 'CONC(=O)Nc1ccccc1'?",
"role": "user"
},
{
"content": "{\"predicted_classes\": [\"enzyme_inhibitor\"], \"class_scores\": {\"kinase_inhibitor\": 0, \"gpcr_ligand\": 1, \"enzyme_inhibitor\": 2, \"ion_channel_modulator\": 0}, \"bioactivity_likelihood\": \"Medium\", \"drug_like_properties\": {\"molecular_weight\": 166.18, \"logp\": 1.37, \"hbd\": 2, \"hba\": 2}, \"structural_complexity\": \"Low\"}",
"role": "assistant"
}
] |
Molecule_Visualization
|
Cc1ccc(OCC(=O)Oc2ccc3c(=O)c(Oc4ccc5ccccc5c4)c(C(F)(F)F)oc3c2)cc1C
| 1,682,033 |
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</base64_image>
| 534.486 | 7.35854 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'Cc1ccc(OCC(=O)Oc2ccc3c(=O)c(Oc4ccc5ccccc5c4)c(C(F)(F)F)oc3c2)cc1C'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
COc1ccc2c(c1)c(CC(=O)NCCC1=CCCCC1)c(C)n2C(=O)c1ccc(Cl)cc1
| 1,075,654 |
{"chiral_centers": 0, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 0, "chiral_center_details": [], "stereogenic_double_bonds": 1, "max_stereoisomers": 1, "potentially_meso": false, "stereochemistry_complexity": "None"}
| 464.993 | 5.84942 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'COc1ccc2c(c1)c(CC(=O)NCCC1=CCCCC1)c(C)n2C(=O)c1ccc(Cl)cc1'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 0, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 0, \"chiral_center_details\": [], \"stereogenic_double_bonds\": 1, \"max_stereoisomers\": 1, \"potentially_meso\": false, \"stereochemistry_complexity\": \"None\"}",
"role": "assistant"
}
] |
Functional_Group_Identification
|
O=C1CCC2C(=O)N(CC(=O)N3CCCC3)C(=O)C2C1
| 1,910,055 |
{"ketone": 1, "amide": 3}
| 278.308 | -0.037 |
[
{
"content": "What is the functional group identification for the compound represented by 'O=C1CCC2C(=O)N(CC(=O)N3CCCC3)C(=O)C2C1'?",
"role": "user"
},
{
"content": "{\"ketone\": 1, \"amide\": 3}",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CCOC(=O)C(Cl)(Cl)C(C)=O
| 80,217 |
{"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"}
| 199.033 | 1.3124 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'CCOC(=O)C(Cl)(Cl)C(C)=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"
}
] |
Reactivity_Prediction
|
Cc1cc(I)ccc1NCN1C(=O)c2ccc([N+](=O)[O-])cc2C1=O
| 1,070,737 |
{"charges": {"N": [{"atom_idx": 8, "charge": -0.367}, {"atom_idx": 10, "charge": -0.256}, {"atom_idx": 17, "charge": 0.062}], "C": [{"atom_idx": 9, "charge": 0.099}, {"atom_idx": 11, "charge": 0.263}, {"atom_idx": 13, "charge": 0.053}, {"atom_idx": 16, "charge": 0.27}, {"atom_idx": 21, "charge": 0.06}, {"atom_idx": 22, "charge": 0.263}], "O": [{"atom_idx": 12, "charge": -0.269}, {"atom_idx": 18, "charge": -0.258}, {"atom_idx": 19, "charge": -0.258}, {"atom_idx": 23, "charge": -0.269}]}, "dipole": 4.37, "steric_hindrance": 4.17}
| 437.193 | 3.17342 |
[
{
"content": "Determine the reactivity prediction of the chemical structure 'Cc1cc(I)ccc1NCN1C(=O)c2ccc([N+](=O)[O-])cc2C1=O'.",
"role": "user"
},
{
"content": "{\"charges\": {\"N\": [{\"atom_idx\": 8, \"charge\": -0.367}, {\"atom_idx\": 10, \"charge\": -0.256}, {\"atom_idx\": 17, \"charge\": 0.062}], \"C\": [{\"atom_idx\": 9, \"charge\": 0.099}, {\"atom_idx\": 11, \"charge\": 0.263}, {\"atom_idx\": 13, \"charge\": 0.053}, {\"atom_idx\": 16, \"charge\": 0.27}, {\"atom_idx\": 21, \"charge\": 0.06}, {\"atom_idx\": 22, \"charge\": 0.263}], \"O\": [{\"atom_idx\": 12, \"charge\": -0.269}, {\"atom_idx\": 18, \"charge\": -0.258}, {\"atom_idx\": 19, \"charge\": -0.258}, {\"atom_idx\": 23, \"charge\": -0.269}]}, \"dipole\": 4.37, \"steric_hindrance\": 4.17}",
"role": "assistant"
}
] |
Reactivity_Prediction
|
COc1cc(C)c2c(OC)cc(=O)oc2c1-c1c(OC)cc(C)c2c(OC)cc(=O)oc12
| 34,059 |
{"charges": {"C": [{"atom_idx": 0, "charge": 0.078}, {"atom_idx": 2, "charge": 0.131}, {"atom_idx": 6, "charge": 0.063}, {"atom_idx": 7, "charge": 0.137}, {"atom_idx": 9, "charge": 0.078}, {"atom_idx": 10, "charge": 0.067}, {"atom_idx": 11, "charge": 0.339}, {"atom_idx": 14, "charge": 0.154}, {"atom_idx": 15, "charge": 0.075}, {"atom_idx": 16, "charge": 0.075}, {"atom_idx": 17, "charge": 0.131}, {"atom_idx": 19, "charge": 0.078}, {"atom_idx": 23, "charge": 0.063}, {"atom_idx": 24, "charge": 0.137}, {"atom_idx": 26, "charge": 0.078}, {"atom_idx": 27, "charge": 0.067}, {"atom_idx": 28, "charge": 0.339}, {"atom_idx": 31, "charge": 0.154}], "O": [{"atom_idx": 1, "charge": -0.496}, {"atom_idx": 8, "charge": -0.496}, {"atom_idx": 12, "charge": -0.246}, {"atom_idx": 13, "charge": -0.422}, {"atom_idx": 18, "charge": -0.496}, {"atom_idx": 25, "charge": -0.496}, {"atom_idx": 29, "charge": -0.246}, {"atom_idx": 30, "charge": -0.422}]}, "dipole": 4.38, "steric_hindrance": 4.38}
| 438.432 | 4.21764 |
[
{
"content": "Provide information about Reactivity_Prediction for the molecule with SMILES 'COc1cc(C)c2c(OC)cc(=O)oc2c1-c1c(OC)cc(C)c2c(OC)cc(=O)oc12'.",
"role": "user"
},
{
"content": "{\"charges\": {\"C\": [{\"atom_idx\": 0, \"charge\": 0.078}, {\"atom_idx\": 2, \"charge\": 0.131}, {\"atom_idx\": 6, \"charge\": 0.063}, {\"atom_idx\": 7, \"charge\": 0.137}, {\"atom_idx\": 9, \"charge\": 0.078}, {\"atom_idx\": 10, \"charge\": 0.067}, {\"atom_idx\": 11, \"charge\": 0.339}, {\"atom_idx\": 14, \"charge\": 0.154}, {\"atom_idx\": 15, \"charge\": 0.075}, {\"atom_idx\": 16, \"charge\": 0.075}, {\"atom_idx\": 17, \"charge\": 0.131}, {\"atom_idx\": 19, \"charge\": 0.078}, {\"atom_idx\": 23, \"charge\": 0.063}, {\"atom_idx\": 24, \"charge\": 0.137}, {\"atom_idx\": 26, \"charge\": 0.078}, {\"atom_idx\": 27, \"charge\": 0.067}, {\"atom_idx\": 28, \"charge\": 0.339}, {\"atom_idx\": 31, \"charge\": 0.154}], \"O\": [{\"atom_idx\": 1, \"charge\": -0.496}, {\"atom_idx\": 8, \"charge\": -0.496}, {\"atom_idx\": 12, \"charge\": -0.246}, {\"atom_idx\": 13, \"charge\": -0.422}, {\"atom_idx\": 18, \"charge\": -0.496}, {\"atom_idx\": 25, \"charge\": -0.496}, {\"atom_idx\": 29, \"charge\": -0.246}, {\"atom_idx\": 30, \"charge\": -0.422}]}, \"dipole\": 4.38, \"steric_hindrance\": 4.38}",
"role": "assistant"
}
] |
LogP_Calculation
|
CC(C)(O)C(N)=O
| 83,059 |
-0.76
| 103.121 | -0.7574 |
[
{
"content": "Calculate the octanol-water partition coefficient (LogP) for the compound 'CC(C)(O)C(N)=O'.",
"role": "user"
},
{
"content": "-0.76",
"role": "assistant"
}
] |
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