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
|
|---|---|---|---|---|---|---|
Molecular_Weight_Calculation
|
CCc1ccc(N(C(=O)C(F)(F)F)C(C(=O)NC2CCCC2)c2cccs2)cc1
| 1,083,949 |
424.49
| 424.488 | 5.0059 |
[
{
"content": "What is the molar mass of the substance with SMILES 'CCc1ccc(N(C(=O)C(F)(F)F)C(C(=O)NC2CCCC2)c2cccs2)cc1'?",
"role": "user"
},
{
"content": "424.49",
"role": "assistant"
}
] |
Functional_Group_Identification
|
COc1ccc(OC)c(N2C(=O)C(Cl)=C(Nc3ccc(C(=O)NCCc4ccccc4)cc3)C2=O)c1
| 1,683,909 |
{"ether": 2, "amine": 1, "amide": 3, "halogen": 1, "phenyl": 3}
| 505.958 | 4.112 |
[
{
"content": "Determine the functional group identification of the chemical structure 'COc1ccc(OC)c(N2C(=O)C(Cl)=C(Nc3ccc(C(=O)NCCc4ccccc4)cc3)C2=O)c1'.",
"role": "user"
},
{
"content": "{\"ether\": 2, \"amine\": 1, \"amide\": 3, \"halogen\": 1, \"phenyl\": 3}",
"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": "Determine the drug likeness assessment of the chemical structure '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"
}
] |
Synthetic_Accessibility
|
Cc1ccc(N(CC(=O)N2CCN(C)CC2)S(=O)(=O)c2ccc(F)cc2)cc1
| 1,000,517 |
{'sa_score': 8.1, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
| 405.495 | 2.10342 |
[
{
"content": "What is the synthetic accessibility for the compound represented by 'Cc1ccc(N(CC(=O)N2CCN(C)CC2)S(=O)(=O)c2ccc(F)cc2)cc1'?",
"role": "user"
},
{
"content": "{'sa_score': 8.1, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
Cc1cccc(NC(=O)CSc2nc3c(c(-c4ccco4)c2C#N)CCCC3)c1C
| 1,042,863 |
417.53
| 417.534 | 5.43972 |
[
{
"content": "Calculate the exact molecular mass for the molecule represented by 'Cc1cccc(NC(=O)CSc2nc3c(c(-c4ccco4)c2C#N)CCCC3)c1C'.",
"role": "user"
},
{
"content": "417.53",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
CC1OCOC1C
| 524,829 |
{"molecular_weight": 102.13, "logp": 0.77, "hydrogen_bond_donors": 0, "hydrogen_bond_acceptors": 2, "rotatable_bonds": 0, "topological_polar_surface_area": 18.46, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 102.133 | 0.7677 |
[
{
"content": "Provide information about Drug_Likeness_Assessment for the molecule with SMILES 'CC1OCOC1C'.",
"role": "user"
},
{
"content": "{\"molecular_weight\": 102.13, \"logp\": 0.77, \"hydrogen_bond_donors\": 0, \"hydrogen_bond_acceptors\": 2, \"rotatable_bonds\": 0, \"topological_polar_surface_area\": 18.46, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
Solubility_Prediction
|
O=P(OCC(CCl)(CBr)CBr)(OC(CCl)CCl)OC(CCl)CCl
| 47,815 |
{"log_s": -6.75, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 582.308, "logp": 5.85, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 0}}
| 582.308 | 5.8517 |
[
{
"content": "Determine the solubility prediction of the chemical structure 'O=P(OCC(CCl)(CBr)CBr)(OC(CCl)CCl)OC(CCl)CCl'.",
"role": "user"
},
{
"content": "{\"log_s\": -6.75, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 582.308, \"logp\": 5.85, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 0}}",
"role": "assistant"
}
] |
Solubility_Prediction
|
COc1ccccc1N1CCN(C(=O)CN(c2ccc(Br)cc2)S(=O)(=O)c2ccccc2)CC1
| 1,043,155 |
{"log_s": -6.05, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 544.471, "logp": 4.0, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 3}}
| 544.471 | 4.0018 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'COc1ccccc1N1CCN(C(=O)CN(c2ccc(Br)cc2)S(=O)(=O)c2ccccc2)CC1'.",
"role": "user"
},
{
"content": "{\"log_s\": -6.05, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 544.471, \"logp\": 4.0, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 3}}",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
CCOC(=O)C(=O)Nc1cccc(C(=O)C[n+]2ccccc2)c1
| 414,473 |
{"molecular_weight": 313.33, "logp": 1.36, "hydrogen_bond_donors": 1, "hydrogen_bond_acceptors": 4, "rotatable_bonds": 5, "topological_polar_surface_area": 76.35, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 313.333 | 1.3586 |
[
{
"content": "What is the drug likeness assessment for the compound represented by 'CCOC(=O)C(=O)Nc1cccc(C(=O)C[n+]2ccccc2)c1'?",
"role": "user"
},
{
"content": "{\"molecular_weight\": 313.33, \"logp\": 1.36, \"hydrogen_bond_donors\": 1, \"hydrogen_bond_acceptors\": 4, \"rotatable_bonds\": 5, \"topological_polar_surface_area\": 76.35, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
CC(C)c1ccc(NC2=C(Sc3ccccc3)C(=O)N(c3ccccc3Cl)C2=O)cc1
| 1,676,636 |
{"predicted_classes": ["gpcr_ligand", "enzyme_inhibitor"], "class_scores": {"kinase_inhibitor": 0, "gpcr_ligand": 2, "enzyme_inhibitor": 2, "ion_channel_modulator": 0}, "bioactivity_likelihood": "Low", "drug_like_properties": {"molecular_weight": 448.98, "logp": 6.45, "hbd": 1, "hba": 4}, "structural_complexity": "High"}
| 448.975 | 6.4526 |
[
{
"content": "What is the bioactivity prediction for the compound represented by 'CC(C)c1ccc(NC2=C(Sc3ccccc3)C(=O)N(c3ccccc3Cl)C2=O)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\": \"Low\", \"drug_like_properties\": {\"molecular_weight\": 448.98, \"logp\": 6.45, \"hbd\": 1, \"hba\": 4}, \"structural_complexity\": \"High\"}",
"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": "Provide information about Bioactivity_Prediction for the molecule with SMILES '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"
}
] |
Solubility_Prediction
|
CN1CCN(C2=Cc3ccc(Cl)cc3Nc3cc(Cl)ccc32)CC1
| 551,166 |
{"log_s": -4.1, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 360.2880000000002, "logp": 4.8, "oh_groups": 0, "nh_groups": 1, "cooh_groups": 0, "aromatic_rings": 2}}
| 360.288 | 4.7959 |
[
{
"content": "Determine the solubility prediction of the chemical structure 'CN1CCN(C2=Cc3ccc(Cl)cc3Nc3cc(Cl)ccc32)CC1'.",
"role": "user"
},
{
"content": "{\"log_s\": -4.1, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 360.2880000000002, \"logp\": 4.8, \"oh_groups\": 0, \"nh_groups\": 1, \"cooh_groups\": 0, \"aromatic_rings\": 2}}",
"role": "assistant"
}
] |
Solubility_Prediction
|
CCCCOS(C)(=O)=O
| 15,953 |
{"log_s": 0.1, "solubility_mg_ml": 0.1901, "solubility_category": "Slightly soluble", "contributing_factors": {"molecular_weight": 152.21499999999997, "logp": 0.76, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 0}}
| 152.215 | 0.7627 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'CCCCOS(C)(=O)=O'.",
"role": "user"
},
{
"content": "{\"log_s\": 0.1, \"solubility_mg_ml\": 0.1901, \"solubility_category\": \"Slightly soluble\", \"contributing_factors\": {\"molecular_weight\": 152.21499999999997, \"logp\": 0.76, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 0}}",
"role": "assistant"
}
] |
Molecule_Visualization
|
[H]N=C(N=C(N)N)N(C)C
| 4,091 |
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</base64_image>
| 129.167 | -1.24383 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES '[H]N=C(N=C(N)N)N(C)C'.",
"role": "user"
},
{
"content": "<base64_image>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</base64_image>",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
O=C(Nc1ccc(F)c(Cl)c1)c1ccc(NC2=C(Cl)C(=O)N(c3ccccc3F)C2=O)cc1
| 1,683,514 |
488.28
| 488.277 | 5.3062 |
[
{
"content": "Provide the molecular weight for 'O=C(Nc1ccc(F)c(Cl)c1)c1ccc(NC2=C(Cl)C(=O)N(c3ccccc3F)C2=O)cc1'.",
"role": "user"
},
{
"content": "488.28",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
O=C(O)CN(CC(=O)O)CC(=O)Nc1ccc(Br)cc1
| 450,142 |
2-[[2-(4-bromoanilino)-2-oxoethyl]-(carboxymethyl)amino]acetic acid
| 345.149 | 0.8588 |
[
{
"content": "Generate the IUPAC nomenclature for the chemical with structure 'O=C(O)CN(CC(=O)O)CC(=O)Nc1ccc(Br)cc1'.",
"role": "user"
},
{
"content": "2-[[2-(4-bromoanilino)-2-oxoethyl]-(carboxymethyl)amino]acetic acid",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCCCOC(=O)c1ccc(NC2=C(Cl)C(=O)N(c3cc(C)cc(C)c3)C2=O)cc1
| 1,706,519 |
426.90
| 426.9 | 4.69604 |
[
{
"content": "Provide the molecular weight for 'CCCCOC(=O)c1ccc(NC2=C(Cl)C(=O)N(c3cc(C)cc(C)c3)C2=O)cc1'.",
"role": "user"
},
{
"content": "426.90",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
O=Cc1ccc(C=O)c(C=Cc2ccc3c(c2)OCCOCCOCCOCCO3)c1
| 639,935 |
426.47
| 426.465 | 3.303 |
[
{
"content": "Determine the molecular weight (in g/mol) of the chemical with structure 'O=Cc1ccc(C=O)c(C=Cc2ccc3c(c2)OCCOCCOCCOCCO3)c1'.",
"role": "user"
},
{
"content": "426.47",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCc1cccc(CC)c1NC(=O)c1cccc(NC2=C(Cl)C(=O)N(c3cccc(Cl)c3C)C2=O)c1
| 1,692,694 |
522.43
| 522.432 | 6.46122 |
[
{
"content": "What is the molar mass of the substance with SMILES 'CCc1cccc(CC)c1NC(=O)c1cccc(NC2=C(Cl)C(=O)N(c3cccc(Cl)c3C)C2=O)c1'?",
"role": "user"
},
{
"content": "522.43",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCOC(=O)C1=C(CSc2ccc(C)cc2)OC(N)=C(C#N)C1c1cccc(Cl)c1Cl
| 1,935,416 |
475.40
| 475.397 | 5.719 |
[
{
"content": "What is the molar mass of the substance with SMILES 'CCOC(=O)C1=C(CSc2ccc(C)cc2)OC(N)=C(C#N)C1c1cccc(Cl)c1Cl'?",
"role": "user"
},
{
"content": "475.40",
"role": "assistant"
}
] |
GHS_Hazard_Statement_Identification
|
CCOC(=O)c1cnc2ccc(OC)cc2c1Nc1ccc(OCc2ccccc2Cl)cc1
| 1,564,577 |
["H314", "H350", "H410"]
| 462.933 | 6.3961 |
[
{
"content": "Identify the GHS hazard codes associated with the compound represented by 'CCOC(=O)c1cnc2ccc(OC)cc2c1Nc1ccc(OCc2ccccc2Cl)cc1'.",
"role": "user"
},
{
"content": "[\"H314\", \"H350\", \"H410\"]",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
CCCc1ccc(Oc2nc(-n3nc(C)cc3C)ncc2C(=O)OCC)cc1
| 1,979,035 |
{"predicted_classes": ["gpcr_ligand", "enzyme_inhibitor"], "class_scores": {"kinase_inhibitor": 0, "gpcr_ligand": 1, "enzyme_inhibitor": 1, "ion_channel_modulator": 0}, "bioactivity_likelihood": "High", "drug_like_properties": {"molecular_weight": 380.45, "logp": 4.2, "hbd": 0, "hba": 7}, "structural_complexity": "Medium"}
| 380.448 | 4.20064 |
[
{
"content": "Determine the bioactivity prediction of the chemical structure 'CCCc1ccc(Oc2nc(-n3nc(C)cc3C)ncc2C(=O)OCC)cc1'.",
"role": "user"
},
{
"content": "{\"predicted_classes\": [\"gpcr_ligand\", \"enzyme_inhibitor\"], \"class_scores\": {\"kinase_inhibitor\": 0, \"gpcr_ligand\": 1, \"enzyme_inhibitor\": 1, \"ion_channel_modulator\": 0}, \"bioactivity_likelihood\": \"High\", \"drug_like_properties\": {\"molecular_weight\": 380.45, \"logp\": 4.2, \"hbd\": 0, \"hba\": 7}, \"structural_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
Functional_Group_Identification
|
COc1cc(C=CC(=O)O)cc(Br)c1O
| 244,669 |
{"alcohol": 2, "carboxylic_acid": 1, "ether": 1, "halogen": 1, "phenyl": 1}
| 273.082 | 2.2611 |
[
{
"content": "Provide information about Functional_Group_Identification for the molecule with SMILES 'COc1cc(C=CC(=O)O)cc(Br)c1O'.",
"role": "user"
},
{
"content": "{\"alcohol\": 2, \"carboxylic_acid\": 1, \"ether\": 1, \"halogen\": 1, \"phenyl\": 1}",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
O=C(Nc1ccc(Cl)cc1)ON=C1CCN(c2ncc(C(F)(F)F)cc2Cl)CC1
| 1,477,080 |
{"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": 447.24, "logp": 5.61, "hbd": 1, "hba": 5}, "structural_complexity": "Medium"}
| 447.244 | 5.6121 |
[
{
"content": "What is the bioactivity prediction for the compound represented by 'O=C(Nc1ccc(Cl)cc1)ON=C1CCN(c2ncc(C(F)(F)F)cc2Cl)CC1'?",
"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\": 447.24, \"logp\": 5.61, \"hbd\": 1, \"hba\": 5}, \"structural_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
COc1ccccc1N1CCN(C(=O)CN(c2ccc(Br)cc2)S(=O)(=O)c2ccccc2)CC1
| 1,043,155 |
N-(4-bromophenyl)-N-[2-[4-(2-methoxyphenyl)piperazin-1-yl]-2-oxoethyl]benzenesulfonamide
| 544.471 | 4.0018 |
[
{
"content": "Convert this SMILES representation 'COc1ccccc1N1CCN(C(=O)CN(c2ccc(Br)cc2)S(=O)(=O)c2ccccc2)CC1' to its proper IUPAC name.",
"role": "user"
},
{
"content": "N-(4-bromophenyl)-N-[2-[4-(2-methoxyphenyl)piperazin-1-yl]-2-oxoethyl]benzenesulfonamide",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
Cc1cc(CCC(=O)O)c(C)cc1CCC(=O)O
| 658,500 |
{"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"}
| 250.294 | 2.33784 |
[
{
"content": "Determine the stereochemistry analysis of the chemical structure 'Cc1cc(CCC(=O)O)c(C)cc1CCC(=O)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"
}
] |
GHS_Pictogram_Identification
|
CCP(=O)(OCc1c(F)c(F)c(F)c(F)c1F)OC(C)C
| 602,596 |
["GHS08", "GHS09"]
| 332.205 | 4.5367 |
[
{
"content": "Determine the appropriate GHS warning symbols for 'CCP(=O)(OCc1c(F)c(F)c(F)c(F)c1F)OC(C)C'.",
"role": "user"
},
{
"content": "[\"GHS08\", \"GHS09\"]",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
COc1cc(C=CC(=O)O)cc(Br)c1O
| 244,669 |
273.08
| 273.082 | 2.2611 |
[
{
"content": "Provide the molecular weight for 'COc1cc(C=CC(=O)O)cc(Br)c1O'.",
"role": "user"
},
{
"content": "273.08",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CCCCOS(C)(=O)=O
| 15,953 |
{"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"}
| 152.215 | 0.7627 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'CCCCOS(C)(=O)=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"
}
] |
Molecule_Visualization
|
O=C(NCc1ccco1)c1cc(-c2ccc(Cl)s2)nc2ccccc12
| 1,000,972 |
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</base64_image>
| 368.845 | 5.1397 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES 'O=C(NCc1ccco1)c1cc(-c2ccc(Cl)s2)nc2ccccc12'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
CCc1nnc(NS(=O)(=O)c2ccc(NC(=O)c3cc(OC)c(OC)c(OC)c3)cc2)s1
| 1,552,274 |
N-[4-[(5-ethyl-1,3,4-thiadiazol-2-yl)sulfamoyl]phenyl]-3,4,5-trimethoxybenzamide
| 478.552 | 3.1794 |
[
{
"content": "Give the IUPAC-compliant name for the molecule 'CCc1nnc(NS(=O)(=O)c2ccc(NC(=O)c3cc(OC)c(OC)c(OC)c3)cc2)s1'.",
"role": "user"
},
{
"content": "N-[4-[(5-ethyl-1,3,4-thiadiazol-2-yl)sulfamoyl]phenyl]-3,4,5-trimethoxybenzamide",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CC1CCc2c(sc3nc(C4CC4)nc(SCC(=O)NCc4ccco4)c23)C1
| 654,453 |
413.57
| 413.568 | 4.695 |
[
{
"content": "Provide the molecular weight for 'CC1CCc2c(sc3nc(C4CC4)nc(SCC(=O)NCc4ccco4)c23)C1'.",
"role": "user"
},
{
"content": "413.57",
"role": "assistant"
}
] |
Reactivity_Prediction
|
Cc1ccc(S(=O)(=O)O)cc1.[H]N=C(N)c1cccc(C(=O)OCC)c1
| 319,745 |
{"charges": {"C": [{"atom_idx": 1, "charge": -0.051}, {"atom_idx": 2, "charge": -0.058}, {"atom_idx": 4, "charge": 0.094}, {"atom_idx": 10, "charge": -0.058}, {"atom_idx": 12, "charge": 0.122}, {"atom_idx": 15, "charge": -0.051}, {"atom_idx": 16, "charge": -0.061}, {"atom_idx": 18, "charge": 0.06}, {"atom_idx": 19, "charge": 0.338}, {"atom_idx": 22, "charge": 0.089}], "S": [{"atom_idx": 5, "charge": 0.294}], "O": [{"atom_idx": 6, "charge": -0.194}, {"atom_idx": 7, "charge": -0.194}, {"atom_idx": 8, "charge": -0.282}, {"atom_idx": 20, "charge": -0.246}, {"atom_idx": 21, "charge": -0.462}], "N": [{"atom_idx": 11, "charge": -0.284}, {"atom_idx": 13, "charge": -0.384}]}, "dipole": 3.64, "steric_hindrance": 2.8}
| 364.423 | 2.38909 |
[
{
"content": "Provide information about Reactivity_Prediction for the molecule with SMILES 'Cc1ccc(S(=O)(=O)O)cc1.[H]N=C(N)c1cccc(C(=O)OCC)c1'.",
"role": "user"
},
{
"content": "{\"charges\": {\"C\": [{\"atom_idx\": 1, \"charge\": -0.051}, {\"atom_idx\": 2, \"charge\": -0.058}, {\"atom_idx\": 4, \"charge\": 0.094}, {\"atom_idx\": 10, \"charge\": -0.058}, {\"atom_idx\": 12, \"charge\": 0.122}, {\"atom_idx\": 15, \"charge\": -0.051}, {\"atom_idx\": 16, \"charge\": -0.061}, {\"atom_idx\": 18, \"charge\": 0.06}, {\"atom_idx\": 19, \"charge\": 0.338}, {\"atom_idx\": 22, \"charge\": 0.089}], \"S\": [{\"atom_idx\": 5, \"charge\": 0.294}], \"O\": [{\"atom_idx\": 6, \"charge\": -0.194}, {\"atom_idx\": 7, \"charge\": -0.194}, {\"atom_idx\": 8, \"charge\": -0.282}, {\"atom_idx\": 20, \"charge\": -0.246}, {\"atom_idx\": 21, \"charge\": -0.462}], \"N\": [{\"atom_idx\": 11, \"charge\": -0.284}, {\"atom_idx\": 13, \"charge\": -0.384}]}, \"dipole\": 3.64, \"steric_hindrance\": 2.8}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
COc1ccc(CC(=O)NC2CCCCC2NC(=O)Cc2ccc(OC)cc2)cc1
| 1,012,645 |
410.51
| 410.514 | 3.0326 |
[
{
"content": "Determine the molecular weight (in g/mol) of the chemical with structure 'COc1ccc(CC(=O)NC2CCCCC2NC(=O)Cc2ccc(OC)cc2)cc1'.",
"role": "user"
},
{
"content": "410.51",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
Cc1ccc(C)c2[nH]c(=O)c(CN(Cc3cccs3)C(=S)NC(C)c3ccccc3)cc12
| 1,141,540 |
461.66
| 461.656 | 5.84434 |
[
{
"content": "Provide the molecular weight for 'Cc1ccc(C)c2[nH]c(=O)c(CN(Cc3cccs3)C(=S)NC(C)c3ccccc3)cc12'.",
"role": "user"
},
{
"content": "461.66",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCNc1nc(Cl)nc(NC(C)C)n1.CCNc1nc(NC(C)C)nc(SC)n1
| 170,183 |
443.03
| 443.025 | 3.6227 |
[
{
"content": "Calculate the exact molecular mass for the molecule represented by 'CCNc1nc(Cl)nc(NC(C)C)n1.CCNc1nc(NC(C)C)nc(SC)n1'.",
"role": "user"
},
{
"content": "443.03",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
CC(=O)OO[N+](=O)[O-]
| 16,782 |
["GHS01", "GHS03", "GHS05"]
| 121.048 | -0.3272 |
[
{
"content": "What safety pictograms should accompany the chemical 'CC(=O)OO[N+](=O)[O-]'?",
"role": "user"
},
{
"content": "[\"GHS01\", \"GHS03\", \"GHS05\"]",
"role": "assistant"
}
] |
Reactivity_Prediction
|
O=[N+]([O-])c1ccc(C(O)C(CO)NC(=S)Nc2ccccc2)cc1
| 915,188 |
{"charges": {"O": [{"atom_idx": 0, "charge": -0.258}, {"atom_idx": 2, "charge": -0.258}, {"atom_idx": 8, "charge": -0.386}, {"atom_idx": 11, "charge": -0.394}], "N": [{"atom_idx": 1, "charge": 0.062}, {"atom_idx": 12, "charge": -0.354}, {"atom_idx": 15, "charge": -0.333}], "C": [{"atom_idx": 3, "charge": 0.269}, {"atom_idx": 7, "charge": 0.101}, {"atom_idx": 9, "charge": 0.081}, {"atom_idx": 10, "charge": 0.066}, {"atom_idx": 13, "charge": 0.171}, {"atom_idx": 18, "charge": -0.06}, {"atom_idx": 19, "charge": -0.062}, {"atom_idx": 20, "charge": -0.06}]}, "dipole": 3.47, "steric_hindrance": 2.92}
| 347.396 | 1.9757 |
[
{
"content": "Determine the reactivity prediction of the chemical structure 'O=[N+]([O-])c1ccc(C(O)C(CO)NC(=S)Nc2ccccc2)cc1'.",
"role": "user"
},
{
"content": "{\"charges\": {\"O\": [{\"atom_idx\": 0, \"charge\": -0.258}, {\"atom_idx\": 2, \"charge\": -0.258}, {\"atom_idx\": 8, \"charge\": -0.386}, {\"atom_idx\": 11, \"charge\": -0.394}], \"N\": [{\"atom_idx\": 1, \"charge\": 0.062}, {\"atom_idx\": 12, \"charge\": -0.354}, {\"atom_idx\": 15, \"charge\": -0.333}], \"C\": [{\"atom_idx\": 3, \"charge\": 0.269}, {\"atom_idx\": 7, \"charge\": 0.101}, {\"atom_idx\": 9, \"charge\": 0.081}, {\"atom_idx\": 10, \"charge\": 0.066}, {\"atom_idx\": 13, \"charge\": 0.171}, {\"atom_idx\": 18, \"charge\": -0.06}, {\"atom_idx\": 19, \"charge\": -0.062}, {\"atom_idx\": 20, \"charge\": -0.06}]}, \"dipole\": 3.47, \"steric_hindrance\": 2.92}",
"role": "assistant"
}
] |
Solubility_Prediction
|
COc1cccc(NC(=O)Cc2ccc(F)cc2)c1
| 798,578 |
{"log_s": -2.2, "solubility_mg_ml": 0.0016, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 259.28, "logp": 3.02, "oh_groups": 0, "nh_groups": 1, "cooh_groups": 0, "aromatic_rings": 2}}
| 259.28 | 3.0155 |
[
{
"content": "Determine the solubility prediction of the chemical structure 'COc1cccc(NC(=O)Cc2ccc(F)cc2)c1'.",
"role": "user"
},
{
"content": "{\"log_s\": -2.2, \"solubility_mg_ml\": 0.0016, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 259.28, \"logp\": 3.02, \"oh_groups\": 0, \"nh_groups\": 1, \"cooh_groups\": 0, \"aromatic_rings\": 2}}",
"role": "assistant"
}
] |
Molecule_Visualization
|
Cc1cccc(NC(=O)N(CC(=O)N(Cc2cccn2C)C2CC2)C2CCCCC2)c1C
| 1,057,233 |
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</base64_image>
| 436.6 | 4.99974 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES 'Cc1cccc(NC(=O)N(CC(=O)N(Cc2cccn2C)C2CC2)C2CCCCC2)c1C'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCOC(=O)c1sc(N2C(=O)c3oc4ccccc4c(=O)c3C2c2ccc(OC)cc2)nc1C
| 1,236,927 |
476.51
| 476.51 | 4.49302 |
[
{
"content": "What is the molar mass of the substance with SMILES 'CCOC(=O)c1sc(N2C(=O)c3oc4ccccc4c(=O)c3C2c2ccc(OC)cc2)nc1C'?",
"role": "user"
},
{
"content": "476.51",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CSc1ccc(C=NNC(=O)CN2CCN(S(=O)(=O)c3ccc(Br)cc3)CC2)cc1
| 1,419,829 |
511.47
| 511.467 | 2.6276 |
[
{
"content": "Provide the molecular weight for 'CSc1ccc(C=NNC(=O)CN2CCN(S(=O)(=O)c3ccc(Br)cc3)CC2)cc1'.",
"role": "user"
},
{
"content": "511.47",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
Clc1ccc(Oc2nc3ccccc3n3c(-c4ccccc4Cl)nnc23)cc1
| 1,929,179 |
407.26
| 407.26 | 6.0436 |
[
{
"content": "What is the molecular weight of the compound with SMILES 'Clc1ccc(Oc2nc3ccccc3n3c(-c4ccccc4Cl)nnc23)cc1'?",
"role": "user"
},
{
"content": "407.26",
"role": "assistant"
}
] |
Synthetic_Accessibility
|
COC(=O)c1coc(CN(C(=O)Nc2ccccc2Br)C(C)(C)C)n1
| 1,197,718 |
{'sa_score': 8.35, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
| 410.268 | 4.0563 |
[
{
"content": "What is the synthetic accessibility for the compound represented by 'COC(=O)c1coc(CN(C(=O)Nc2ccccc2Br)C(C)(C)C)n1'?",
"role": "user"
},
{
"content": "{'sa_score': 8.35, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
COc1cc(Br)c(Br)c(C=Nc2ccc3c(c2)OCCO3)c1O
| 1,513,713 |
{"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"}
| 443.091 | 4.4476 |
[
{
"content": "Determine the stereochemistry analysis of the chemical structure 'COc1cc(Br)c(Br)c(C=Nc2ccc3c(c2)OCCO3)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
|
NCCCCC(NC(=O)C(CCCCN)NC(=O)C1CCCN1C(=O)C(N)CO)C(=O)O
| 129,363 |
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</base64_image>
| 458.56 | -2.3908 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'NCCCCC(NC(=O)C(CCCCN)NC(=O)C1CCCN1C(=O)C(N)CO)C(=O)O'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCOC(=O)c1ccc(NC(=O)c2ccc3c(c2)C(=O)N(CC2CCCO2)C3=O)cc1
| 1,341,586 |
422.44
| 422.437 | 2.8906 |
[
{
"content": "Calculate the exact molecular mass for the molecule represented by 'CCOC(=O)c1ccc(NC(=O)c2ccc3c(c2)C(=O)N(CC2CCCO2)C3=O)cc1'.",
"role": "user"
},
{
"content": "422.44",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
OCCCN=c1cc2n(-c3ccccc3)c3ccccc3nc-2cc1Nc1ccccc1
| 473,684 |
3-[(3-anilino-10-phenylphenazin-2-ylidene)amino]propan-1-ol
| 420.516 | 5.157 |
[
{
"content": "Name the molecule 'OCCCN=c1cc2n(-c3ccccc3)c3ccccc3nc-2cc1Nc1ccccc1' according to IUPAC rules.",
"role": "user"
},
{
"content": "3-[(3-anilino-10-phenylphenazin-2-ylidene)amino]propan-1-ol",
"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": "Determine the stereochemistry analysis of the chemical structure '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"
}
] |
IUPAC_Name_Generation
|
CCc1ccc2[nH]c(=O)c(CN(Cc3ccc(OC)cc3)Cc3nnnn3CCOC)cc2c1
| 645,419 |
6-ethyl-3-[[[1-(2-methoxyethyl)tetrazol-5-yl]methyl-[(4-methoxyphenyl)methyl]amino]methyl]-1H-quinolin-2-one
| 462.554 | 2.9344 |
[
{
"content": "Provide the systematic IUPAC name for the compound 'CCc1ccc2[nH]c(=O)c(CN(Cc3ccc(OC)cc3)Cc3nnnn3CCOC)cc2c1'.",
"role": "user"
},
{
"content": "6-ethyl-3-[[[1-(2-methoxyethyl)tetrazol-5-yl]methyl-[(4-methoxyphenyl)methyl]amino]methyl]-1H-quinolin-2-one",
"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": "Generate the IUPAC nomenclature for the chemical with structure 'CC1(C)C(Cl)C1(Cl)Cl'.",
"role": "user"
},
{
"content": "1,1,3-trichloro-2,2-dimethylcyclopropane",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CCOC(=O)c1ccc2nc(C)cc(Nc3cccc(C)c3)c2c1
| 731,027 |
{"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"}
| 320.392 | 4.77194 |
[
{
"content": "Determine the stereochemistry analysis of the chemical structure 'CCOC(=O)c1ccc2nc(C)cc(Nc3cccc(C)c3)c2c1'.",
"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
|
COc1cc(C)c2c(OC)cc(=O)oc2c1-c1c(OC)cc(C)c2c(OC)cc(=O)oc12
| 34,059 |
["GHS08", "GHS09"]
| 438.432 | 4.21764 |
[
{
"content": "Determine the appropriate GHS warning symbols for 'COc1cc(C)c2c(OC)cc(=O)oc2c1-c1c(OC)cc(C)c2c(OC)cc(=O)oc12'.",
"role": "user"
},
{
"content": "[\"GHS08\", \"GHS09\"]",
"role": "assistant"
}
] |
Drug_Likeness_Assessment
|
CCCOC(=O)c1cccc(N2C(=O)C(Cl)=C(Nc3ccc(C(=O)OCC)cc3)C2=O)c1
| 1,700,034 |
{"molecular_weight": 456.88, "logp": 3.87, "hydrogen_bond_donors": 1, "hydrogen_bond_acceptors": 7, "rotatable_bonds": 8, "topological_polar_surface_area": 102.01, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
| 456.882 | 3.8658 |
[
{
"content": "What is the drug likeness assessment for the compound represented by 'CCCOC(=O)c1cccc(N2C(=O)C(Cl)=C(Nc3ccc(C(=O)OCC)cc3)C2=O)c1'?",
"role": "user"
},
{
"content": "{\"molecular_weight\": 456.88, \"logp\": 3.87, \"hydrogen_bond_donors\": 1, \"hydrogen_bond_acceptors\": 7, \"rotatable_bonds\": 8, \"topological_polar_surface_area\": 102.01, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CCOCC(O)CC#N
| 533,654 |
{"chiral_centers": 1, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 1, "chiral_center_details": [{"atom_index": 4, "configuration": "?"}], "stereogenic_double_bonds": 0, "max_stereoisomers": 2, "potentially_meso": false, "stereochemistry_complexity": "Medium"}
| 129.159 | 0.29748 |
[
{
"content": "Determine the stereochemistry analysis of the chemical structure 'CCOCC(O)CC#N'.",
"role": "user"
},
{
"content": "{\"chiral_centers\": 1, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 1, \"chiral_center_details\": [{\"atom_index\": 4, \"configuration\": \"?\"}], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 2, \"potentially_meso\": false, \"stereochemistry_complexity\": \"Medium\"}",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
CC(=O)Nc1cnc[nH]1
| 521,345 |
["GHS06", "GHS08"]
| 125.131 | 0.3681 |
[
{
"content": "Determine the appropriate GHS warning symbols for 'CC(=O)Nc1cnc[nH]1'.",
"role": "user"
},
{
"content": "[\"GHS06\", \"GHS08\"]",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
Cc1ccc(C=CC(=O)Nc2ccc(Cl)c(Cl)c2)cc1
| 917,667 |
306.19
| 306.192 | 4.95372 |
[
{
"content": "Determine the molecular weight (in g/mol) of the chemical with structure 'Cc1ccc(C=CC(=O)Nc2ccc(Cl)c(Cl)c2)cc1'.",
"role": "user"
},
{
"content": "306.19",
"role": "assistant"
}
] |
Solubility_Prediction
|
O=C(CN(Cc1ccccc1)S(=O)(=O)c1ccc2c(c1)OCCO2)NCc1ccccc1
| 1,129,986 |
{"log_s": -4.31, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 452.53200000000027, "logp": 2.97, "oh_groups": 0, "nh_groups": 1, "cooh_groups": 0, "aromatic_rings": 3}}
| 452.532 | 2.9651 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'O=C(CN(Cc1ccccc1)S(=O)(=O)c1ccc2c(c1)OCCO2)NCc1ccccc1'.",
"role": "user"
},
{
"content": "{\"log_s\": -4.31, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 452.53200000000027, \"logp\": 2.97, \"oh_groups\": 0, \"nh_groups\": 1, \"cooh_groups\": 0, \"aromatic_rings\": 3}}",
"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": "Determine the drug likeness assessment of the chemical structure '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"
}
] |
IUPAC_Name_Generation
|
O=C(CSc1nnc(Cc2ccccc2)n1Cc1ccccc1)Nc1ccc(F)cc1
| 1,170,227 |
2-[(4,5-dibenzyl-1,2,4-triazol-3-yl)sulfanyl]-N-(4-fluorophenyl)acetamide
| 432.524 | 4.7871 |
[
{
"content": "Give the IUPAC-compliant name for the molecule 'O=C(CSc1nnc(Cc2ccccc2)n1Cc1ccccc1)Nc1ccc(F)cc1'.",
"role": "user"
},
{
"content": "2-[(4,5-dibenzyl-1,2,4-triazol-3-yl)sulfanyl]-N-(4-fluorophenyl)acetamide",
"role": "assistant"
}
] |
Molecule_Visualization
|
CCOc1ccc(N=C2C(=O)N(CN3CCN(c4ccccc4)CC3)c3ccccc32)cc1
| 1,042,314 |
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</base64_image>
| 440.547 | 4.3324 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES 'CCOc1ccc(N=C2C(=O)N(CN3CCN(c4ccccc4)CC3)c3ccccc32)cc1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Solubility_Prediction
|
Cc1nn(-c2ccccc2)c(C)c1C=NNC(=O)c1cc(-c2ccc(CC(C)C)cc2)n[nH]1
| 1,539,254 |
{"log_s": -5.33, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 440.55100000000016, "logp": 4.84, "oh_groups": 0, "nh_groups": 1, "cooh_groups": 0, "aromatic_rings": 4}}
| 440.551 | 4.84164 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'Cc1nn(-c2ccccc2)c(C)c1C=NNC(=O)c1cc(-c2ccc(CC(C)C)cc2)n[nH]1'.",
"role": "user"
},
{
"content": "{\"log_s\": -5.33, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 440.55100000000016, \"logp\": 4.84, \"oh_groups\": 0, \"nh_groups\": 1, \"cooh_groups\": 0, \"aromatic_rings\": 4}}",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
COc1ccc(NC(=O)CSc2ccccc2NC(=O)CCl)cc1
| 1,434,909 |
2-[2-[(2-chloroacetyl)amino]phenyl]sulfanyl-N-(4-methoxyphenyl)acetamide
| 364.854 | 3.6033 |
[
{
"content": "Name the molecule 'COc1ccc(NC(=O)CSc2ccccc2NC(=O)CCl)cc1' according to IUPAC rules.",
"role": "user"
},
{
"content": "2-[2-[(2-chloroacetyl)amino]phenyl]sulfanyl-N-(4-methoxyphenyl)acetamide",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
Cc1ccccc1C(=O)Nc1ccc2nc(SCC(=O)NC(C)c3ccccc3)sc2c1
| 1,249,927 |
2-methyl-N-[2-[2-oxo-2-[[(1S)-1-phenylethyl]amino]ethyl]sulfanyl-1,3-benzothiazol-6-yl]benzamide
| 461.612 | 5.82652 |
[
{
"content": "What is the IUPAC name for the molecule with SMILES 'Cc1ccccc1C(=O)Nc1ccc2nc(SCC(=O)NC(C)c3ccccc3)sc2c1'?",
"role": "user"
},
{
"content": "2-methyl-N-[2-[2-oxo-2-[[(1S)-1-phenylethyl]amino]ethyl]sulfanyl-1,3-benzothiazol-6-yl]benzamide",
"role": "assistant"
}
] |
Reactivity_Prediction
|
Cc1ccc(C=CC(=O)Nc2ccc(Cl)c(Cl)c2)cc1
| 917,667 |
{"charges": {"C": [{"atom_idx": 1, "charge": -0.051}, {"atom_idx": 2, "charge": -0.059}, {"atom_idx": 3, "charge": -0.055}, {"atom_idx": 7, "charge": 0.248}, {"atom_idx": 13, "charge": 0.059}, {"atom_idx": 15, "charge": 0.061}, {"atom_idx": 18, "charge": -0.055}, {"atom_idx": 19, "charge": -0.059}], "O": [{"atom_idx": 8, "charge": -0.27}], "N": [{"atom_idx": 9, "charge": -0.322}], "Cl": [{"atom_idx": 14, "charge": -0.083}, {"atom_idx": 16, "charge": -0.083}]}, "dipole": 3.05, "steric_hindrance": 3.0}
| 306.192 | 4.95372 |
[
{
"content": "Determine the reactivity prediction of the chemical structure 'Cc1ccc(C=CC(=O)Nc2ccc(Cl)c(Cl)c2)cc1'.",
"role": "user"
},
{
"content": "{\"charges\": {\"C\": [{\"atom_idx\": 1, \"charge\": -0.051}, {\"atom_idx\": 2, \"charge\": -0.059}, {\"atom_idx\": 3, \"charge\": -0.055}, {\"atom_idx\": 7, \"charge\": 0.248}, {\"atom_idx\": 13, \"charge\": 0.059}, {\"atom_idx\": 15, \"charge\": 0.061}, {\"atom_idx\": 18, \"charge\": -0.055}, {\"atom_idx\": 19, \"charge\": -0.059}], \"O\": [{\"atom_idx\": 8, \"charge\": -0.27}], \"N\": [{\"atom_idx\": 9, \"charge\": -0.322}], \"Cl\": [{\"atom_idx\": 14, \"charge\": -0.083}, {\"atom_idx\": 16, \"charge\": -0.083}]}, \"dipole\": 3.05, \"steric_hindrance\": 3.0}",
"role": "assistant"
}
] |
Bioactivity_Prediction
|
N#CC1CC=CCC1
| 66,013 |
{"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": 107.16, "logp": 1.87, "hbd": 0, "hba": 1}, "structural_complexity": "Low"}
| 107.156 | 1.86628 |
[
{
"content": "Provide information about Bioactivity_Prediction for the molecule with SMILES 'N#CC1CC=CCC1'.",
"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\": 107.16, \"logp\": 1.87, \"hbd\": 0, \"hba\": 1}, \"structural_complexity\": \"Low\"}",
"role": "assistant"
}
] |
GHS_Hazard_Statement_Identification
|
COc1ccc(C(=O)CC(CC(=O)N(CCCl)CCCl)c2ccc(OC)cc2)cc1
| 319,751 |
["H301", "H350", "H410"]
| 452.378 | 4.7567 |
[
{
"content": "Identify the GHS hazard codes associated with the compound represented by 'COc1ccc(C(=O)CC(CC(=O)N(CCCl)CCCl)c2ccc(OC)cc2)cc1'.",
"role": "user"
},
{
"content": "[\"H301\", \"H350\", \"H410\"]",
"role": "assistant"
}
] |
Reactivity_Prediction
|
CCOC(=O)c1ccc(N=c2sc(C=C3C=Nc4ccccc43)c(O)n2C)cc1
| 1,231,514 |
{"charges": {"C": [{"atom_idx": 1, "charge": 0.089}, {"atom_idx": 3, "charge": 0.338}, {"atom_idx": 5, "charge": 0.06}, {"atom_idx": 8, "charge": 0.066}, {"atom_idx": 10, "charge": 0.193}, {"atom_idx": 12, "charge": 0.092}, {"atom_idx": 17, "charge": 0.071}, {"atom_idx": 19, "charge": -0.06}, {"atom_idx": 20, "charge": -0.061}, {"atom_idx": 21, "charge": -0.052}, {"atom_idx": 23, "charge": 0.21}], "O": [{"atom_idx": 2, "charge": -0.462}, {"atom_idx": 4, "charge": -0.246}, {"atom_idx": 24, "charge": -0.493}], "N": [{"atom_idx": 9, "charge": -0.221}, {"atom_idx": 16, "charge": -0.256}, {"atom_idx": 25, "charge": -0.291}], "S": [{"atom_idx": 11, "charge": -0.093}]}, "dipole": 4.05, "steric_hindrance": 3.45}
| 405.479 | 4.4578 |
[
{
"content": "Determine the reactivity prediction of the chemical structure 'CCOC(=O)c1ccc(N=c2sc(C=C3C=Nc4ccccc43)c(O)n2C)cc1'.",
"role": "user"
},
{
"content": "{\"charges\": {\"C\": [{\"atom_idx\": 1, \"charge\": 0.089}, {\"atom_idx\": 3, \"charge\": 0.338}, {\"atom_idx\": 5, \"charge\": 0.06}, {\"atom_idx\": 8, \"charge\": 0.066}, {\"atom_idx\": 10, \"charge\": 0.193}, {\"atom_idx\": 12, \"charge\": 0.092}, {\"atom_idx\": 17, \"charge\": 0.071}, {\"atom_idx\": 19, \"charge\": -0.06}, {\"atom_idx\": 20, \"charge\": -0.061}, {\"atom_idx\": 21, \"charge\": -0.052}, {\"atom_idx\": 23, \"charge\": 0.21}], \"O\": [{\"atom_idx\": 2, \"charge\": -0.462}, {\"atom_idx\": 4, \"charge\": -0.246}, {\"atom_idx\": 24, \"charge\": -0.493}], \"N\": [{\"atom_idx\": 9, \"charge\": -0.221}, {\"atom_idx\": 16, \"charge\": -0.256}, {\"atom_idx\": 25, \"charge\": -0.291}], \"S\": [{\"atom_idx\": 11, \"charge\": -0.093}]}, \"dipole\": 4.05, \"steric_hindrance\": 3.45}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CC(C)(C)OC(=O)NC(Cc1ccccc1)C(O)CNCC(O)C(Cc1ccccc1)NC(=O)OC1(C)CCCC1
| 481,885 |
569.74
| 569.743 | 4.104 |
[
{
"content": "What is the molecular weight of the compound with SMILES 'CC(C)(C)OC(=O)NC(Cc1ccccc1)C(O)CNCC(O)C(Cc1ccccc1)NC(=O)OC1(C)CCCC1'?",
"role": "user"
},
{
"content": "569.74",
"role": "assistant"
}
] |
Molecule_Visualization
|
CCc1ccc(N2C(=O)C(Nc3ccc(OC)cc3OC)=C(Sc3ccc(Cl)cc3)C2=O)cc1
| 1,655,226 |
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</base64_image>
| 495 | 5.9088 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'CCc1ccc(N2C(=O)C(Nc3ccc(OC)cc3OC)=C(Sc3ccc(Cl)cc3)C2=O)cc1'.",
"role": "user"
},
{
"content": 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cvlgwcP5vgFH3nkEQBITU01BtLMY9Px1kAIKZxt2xDC3NzcsLAw4xwt7t555x0AeP755xFx//79HelhS01Ntba2trGxYVcG1n0XGhrKsae0rq6OxebDDz8U6ph5eXkJCQlsCmxWVpZQh20H1gBmjwrZzKMjYj8baeWTTz4BgJjmy8hx0oYQsn/0Dz/8sBSWsiooKGDjKtPS0hobG4OCgmQy2S+//NLuA7733nsAEBgYqNVqi4qKvLy8AGDVqlUC1rlNvvjiiKNjN39/f8GnvQ0ePBh4PBVoTq1WA8CcOXMQ8eWXXwZxRiDc208//cROtWYut7U2hLCmpsbPzw8AFi9eLF6FTMQy88wzzyDi999/DwB9+vTpyNlBp9Ox9S3Zs6Pt27cDgKOj44ULFwSrtMmys9HBAX18ruzfL8xih1euXPnpp5/OnTuHiI899hgA7Nu3T5Ajt8+uXbsAIDw8HG8F8p133jFzHfLy8gDAw8PDzOW21rZ7wkOHDrFmm3FWCBfFxcWsTXXs2DGDwfDQQw8J0rg/ceKEra2tlZUVWyovKiqKS6PUYMCwMATAW9PfBMCaXu+99x4iPvPMMwCwbds2wY7edleuXAGAnj174h8DaWYuLi4AcFPUpeNM0OaOmTlz5gDAwIEDOa4OsGDBArj1oGnLli0A8OCDDwrSSGZTvAMCAmpra42N0pUrV3b8yKb75pumiXwCru25evVqAJg1axYi/s///A8ACD6Dtk0MBgMLQGFh4eXLl42BNLMxY8YAwJ49e8xfdHNtDmFNTY2/vz8AfPDBB2JU6L5KSkrYZfDo0aMGg4GNtPj6668FObhOp2NjKdhFw/yN0uJi7NEDAfC774Q8LDtVsRl0c+fOBYBPP/1UyALabvTo0QCwd+9eg8HAntSZfxH7N954AwCWL19u5nJbaPOGMAqFYv369dbW1mq1+vjx42399Y77/PPPq6qqJk2aNHz48B07dpw+fdrb25ud3TvO3t4+ISHB1tb2008/PXjw4NSpU1944YWamprXX38dzTKqYc4cKCqCiRNhxgwhD8tGh5aXlxt/LisrE7KAtmMnu7Nnz8pkMtYPbP5deCWy+297dmUaNWoUW5DnlVdeuePwS/FUVFSsWLECANgKBf/4xz8AYOHCha3HvrRbSEjIu+++azAYZs2apdVqv/rqKy8vr717965cuVKoIu5m717YuBHkclizBoQdrtM8eBIJYfMAmHMkZ11d3c8//8x+lsoI0vZdQLVaLTt7vf/++4Jeme+DDTWMiIhARDbQqWfPnoJPzdTpdKyzZ968eYi4Y8cOAHB0dMzJyRG2oOZqa3HAAARAtVr4g1+8eBFuDUxhizvMmDFD+GLaYs+ePQAwZswYRIyLiwOAN8XfcqO4uHjChAlWVlZs5bWioiIAcHJy4jt1pv0jZg4fPsx6So8dOyZghe6hoqKCncX379+PiGxPgs8++0yMsk6ePMl6Sg8cOICIL774IvsXI95A5/ffb1rWRYy1odl1z8XFBRF//PFHAJg0aZLwxbQFC4Czs7PBYEhOTgaAsWPHilri2bNn2Xg9Hx8f1r1/6NAhJycnNzc3Pz+/e69JJaoODVubN28eAAQFBZmnp/Sjjz4CgIkTJ+KtJ61eXl41NTUiFff+++8DQP/+/aurq4uLi9lilV9++aVIxV2+jJMno0jjRhobG62tra2srPR6/eHDhwFg5MiRopTUFmyYbl5eXkFBgTGQIpX1888/s+6fESNGsLWA161bx5Yb7tatG2sVsjWp1q9fb+YtKzoUQp1OxxqlZpiKUlVVxaYasZ0i2Tqc//rXv8Qrsa6ujjVK2XNk1vpVKBRCNUp37cLnnkPjXNwpUwQ56l2xRkRpaSkbMx0YGChueSYIDQ0FgJ9++gkR2cprV69eFaOguLg4a2trAHjhhRdqa2tb7PpUV1fH9rS445pUYtSnhY4O4G4x6lI8rA9m9OjRiPjrr78CgLu7u9hnrFOnTrFGKWsAv/TSSwI2SuPj0dUV//73ppfdu3f8kPfC9jDKzc1llx0vLy9xyzMBWz/uk08+QcSJEycCwM8//yxsEXV1da+++ioAyGSy2NhYg8FQVVXFFv+1sbFZsWJF8w9XVFSsW7eu+ZpUDzzwQNXf/47nzglbqxYEmEXx7rvvwq1Rlx0/2h1VV1ezpktSUhIijh8/HgCWLVsmUnHNffDBB6xRWlVVVVZW5uPjAwI9WYqPxzlz0N8f2ZVV7BCymTtpaWl1dXUAYGdnJ255JmBDCGbOnIm3Ails06a4uJiN0XN0dPzvf/+LzTbfdnNzM26+3ZpxTapnfH2b1p8bOBDVapE2oxIghMZRl2wqkBjYqCt2G/Pbb7+x/4jmmfxSX1/P/vmy0cY7d+5kjdLz58+3/rDBYCgpKblw4UJa2u9JSajRYHw8qtWoUqFSidOnY0QEPvooDhiA06ZhfDwuWoQaDT7+OKL4IQwLCzOexdhWYeLdTpuI3Z2yDZKOHz++adMmAWdXnTlzpm/fvqwbhk39ab75timTSAwGQ1FqKiqV6OLSFEVbW5w6Ff/7X2yxoo9ejzk57d5DXJj5hEeOHGH3/QcPHhTkgM1ptVq2nDNrq7B2y0cffSR4QXfz+++/s0YpG/TMRv3369dv1qxZzz33XGho6COPPNKvXz82Douxs3M0blp0xz9DhzaFEBEffxy3bBE9hGx+FtuAgV3PW6+XYWaVlZUymczOzk7weTk//fQT64YZOXIk64a54+bbpmIbbkRG3t5ww80N33qrqRtt3Trs3x+ffx5HjsTw8HZEUbBJvfPnz2eNUsGf2n322WcAMHToUIPBwPYqcnZ2LmvvWad9Fi9e7O7unpiYiIgFBQVOTk7GZd6bk8lkbm5u/fv3Hzp06KRJjVFRqFSiSoVqNa5ahZs346+/4vHjeOEClpXdDmF2NgYFoUIh7ld4/fXX4dYwd+NoFXGLNAHbUTA0NFTAHa3j4uLYijt37IbpUF9L8w03AHDkSLx0CR944HYzde5cnDOnrUcVLITGRun8+fOFOiYiarVadtreuXMnIoaHhwOPrTzq6uoKCgrYz6tWrQKABx98cPXq1Vu3bk1OTj5x4sTFixfbel4whhARP/gAxV5phJ0l//nPfyLiuHHjAIA9AuWL/Q9lhg4dGh8fX9GBxfd1Ot09umG++uorwep95gzOm4cbN+LKlfjWW7ffv3gR275Uh5D/51tMBeqg6urqq1evsgkTjzzyiMFgSE1NBYDu3buXlpZ2/PjtU19fzx74bt68uYOHyshA4zCH2lqMj0eDATUaFOlR2bJly4z37ezf5Y4dO0QpqS3q6+uXLVsWFRVl3NFaoVC89NJLu3fvbutGhUVFRcZumB9++AGbdcO4u7vfoxumQ2JjccmS2y9ralAub+sxhFx3NCQkZN68eWq1etasWceOHevevXuLD5i+KGhpaSnrxAMAe3v7v/zlLzKZrF+/fnPnznV3dzduZmB+GzZsuHTpUlBQELvF6oigoNs/y+WgVMLrr8PatbB0KSxe3MFj34EEh48CgK2tLTvParXaXbt2bdiw4eeff964cePGjRu9vb2joqJeffVVtiDNvZ09e3bKlCmXL1/28fHZsWPH0KFDDx069OyzzxYWFvr7++/cuZNN/RHegw9Caurtl1evQu/ebT6IkGcFRJ1Ox2bfOzk5TZky5Yknnhg+fLifn5+Hhwd7Wmo6R0dHHx8f9oA+IiJCCgtj6/V69u02irNdw+7daG2NMhl+/73wB2cLWE2fPh1v7b/9+eefC19Mh129ejUuLo6twcGwLa+NtwOtHThwgI16GTVqVItumI5svm2SggL08UE2062xEV97DZcubesxhL8RWb9+/d1W7HRwcPD29jYuthsdHR0TExMbGxsXF5eQkJCYmJiSkpKenp6fn29c1F0Ky70YrV+/HgB8fX3FG0jx6acIgHI5Cj724ZdffoFbY9+XLFkC0lim5B7S0tJiYmLYSBoAsLa2Dg8PT0hIaP1kpbS01N/fv3U3jFCbb9/Htm04aBCGhuLgwfjyy9j2jklRegO2bNkyY8aMr776avfu3UePHj1//nxhYWG7/+HyXe7FSK/Xs2U8ExISRC1IqUQA9PZGYYdwFRQU/Oc//2HLbLJNZqSw0Nh96XS6xMTEqKgodmUDAGdn5+jo6KSkpOaNo6KiIvzj5tvr1q0za0XLyrCsDO9+ub4Hy1h3lNdyL819++23ADBgwACxxxPW1+PEiQiAISEo0uP0DRs2AEB0dLQoRxdHaWlpfHw8W5CC6d27t0qlMp6ac3NzzbP59p1t2IAA+Oqr7fhVywghr+VejBobG9mzNfOcX4uLkY2Xev55gTtLdTqdRqMJCQlxdnb29PRkA2gsy7lz51QqFXtwBQAymWzMmDETJ05kHYHm33y7ycGDCIDDhrXjVy0jhMi7UcpWVezdu7fZ1lxNT8fu3RHg9gjvDjpz5szs2bONw3pYT4ZMJnvttddKSkqEKcOMGhsb2dQH40QkABgzZoz5N99uUl6OMhkqFO3Y4thiQoiIL7zwAgBMnDjR7GsQCraqYpvs3o3Ozobhwz/6vgO9pVqtVqPRtH4mXlpaqlar2bIgbm5u8fHxUuh/bofKysq5c+f6+/tPnTq1XowJ0aZ78EEEwLZfJCwphMXFxaxRKuTQBxMIu6pim3zxRQIAKBSKEyfavApwZmamSqVyd3dn2evevbtSqWyxQfSFCxciIiLYBx577DG+a+NbvEmTEADbvqCrJYUQzbXcS3MGg4HtvibUqoptxTZm6tWrl4njre926auurr7br2g0GvYkQC6Xx8bGSmGbA4v03nsIgG2fWmBhIUSzLPfS3LZt2wDA29ub12LH9fX1EyZMYFm69+SjjIyM1pe+U6dOmVJKYWEhmx0CAIMHD75yhecK65Zq/XoEwD/9qa2/Z3khNMNyL80NGzYMAL744gszlHU3xcXFvr6+ABAVFdX6zq0dl7672bdvX0BAwNNP+584YXf5slKvb/9Y6q4oLQ0BMDi4rb9neSFEEZZ7uRs2hVeMVRXbKiMjg02Qaz6Rkl363Nzc2nHpu5va2trMzI9PnLBNS4PTp33Kyn7ocN27jNpatLZGW1tsY3veIkOIiDNmzDBDo1TUVRXbatWqVTKZTCaTrV27NiEhQZBL393U1p7JzByZlgZpaZCTE1lXx3m/VIvh76+3tq5v40RNSw2hcbkX8RqKbJ1mDw8PMy+AdzdshVz2cM/4rO/tt98WbW6uoago/tSp7mlpcPKk4sYNtcEg/jhMCzd31iwHB4e2PlISciqTObm4uKxatWry5MkLFix48skn2eQG07FVm1ooLy/38/ObOXMm+8zHH38MAPPnz2/+OJijffv2AUBwcHB6erq1tXVjY+P3338fGRkpWoEyDw+ls/Pk/HxVScm3+fkLyso29+mzWqF4FABrao7q9UVy+cN2dm2fudN5OXp763S6tm5uIUOz7HMikujo6O+++2706NEHDhxgU6UaGhpSUlJaRKt13hobG+94wMmTJ7MbzuTk5IiICHd390uXLrFNoPgyGAyenp4lJSXnz58vLi4eN26ctbV1aWmpcalMUZWXb7969e36+msymW1Q0PH8/PdlMjt7+wF1decHDNgOIOi+GZZMo9G88MILzzzzDOtUN5GlXgmZL7/8ct++fYcPH16xYgWbI1ddXc2WFbs3Jycn12ZcXFzYD2wiNgCw1b7nzZsnhQQCwOnTp0tKSvr16+fn55eVldXY2Dh69GjzJBAAXFye6d494saNj7TaszY2njU1Rx5+uNg8RVuW9u0wY9khdHFxWbly5eTJkxctWvTUU0/5+fk5OzuHhYWxUBmj1TpvbH2hu1m7du2BAwfc3Nxmz55ttu9yb3v37gUAttJc85/NxsrK0cdHjdiI2CCT2V+79q6n52w7u77mrIP0+fv729vbX7x4saamxvRTpGWHEAAiIyNnzpy5YcOGV155JSUlxdramu0uckdsfUBdGYMAAA0uSURBVI3s7Ox7rKxx8+bNCxcuAEBYWJhELoMggRAyMpm1TGYdGHi0qOir7OwJ3btH9OmzmpqjRjY2NgEBAWfOnMnIyGBPmE1h2feETEVFRXBw8LVr14KCgmbOnGkwGFr3uJSVlVVUVJh+TIVCkZmZ2bsd64WIoLGx0cPDo7y8/OrVqwqFokePHnZ2dqWlpXK5nGOtDAZtRkZwv36bHB1N/dfWFbz00kv/+c9/vvnmG9M3rrX4KyEAODs7v/XWW4sWLcrMzFy4cOE9Pung4NC6gdqCs7OzjY2Nr6+vra2t2b7CvZ08eZL13D7wwAPbtm0zGAyjRo3ilUDEuvr6q/b2voj1iA02Ni73/52upB27/3aGEALAwoULy8rKfvjhh0ceecTf3791jwtLF+9qtpNE2qJMQ0NhXt5f9fpixHovr3ft7dv2cKjTa0ffTCcJIQB88sknbMuKzkebnm5jZcWGcbOnhexnLuzsHuzff6tOl2Ft3d3BIej+v9DFtCOEneGesJPT68HNDW1sdBkZVtbWL48bt/vateKSEnt7e141qqk5kpU1ytFxRGDgEV51kCxE3LNnT3BwMJtmYAorUStEBHD8OFRVyXr2lPfsab9//5bs7LLQUI4JBACDoRYArKwUHOsgWTKZLDw83PQEAoXQAuzdCwDAbgL37gUAm5EjuVaIQigwCqHk7dsHAMBuApsHkh8KobAohNJWXw+HD4NMBuPHQ2EhZGVBt27w6KN8K0UhFBaFUNqOHYOaGhg0CLy84LffABHGjgXeDzAphMKiEEpbqxtC7m1RoBAKjUIobRTCLoBCKGF1dXDkCFhZwbhxcP065OSAkxOYsFmf2AwGLQBYWfEcudqZUAglLDUVtFoYPBg8POC33wAAHnsM7jkJyzzoSigsCqGEubrCa6/Bn/4EcOtBhQTaogCgVtdHRLjs3i2VeV6Wjv9pldzVww/D6tVQXw8AMHky6PVwa8l6vsrLK8vKyq2teY7a6UwohFJVUQF//jNcuACOjlBbC//3f7B+Pe86NamtrQUAhYKao8KgEErVhx9Cnz6wZQvIZPD77xAZCefOgTRmY1EIhUX3hFL1/fewcCGwJUaHDIGRIyEpiXedmlAIhUUhlKS6OqiqAg+P2+88+CBcu8avQn9AIRQWhVCS7O3B0RHKy2+/c+MG3NogmjsKobAohFI1dSqsXNn0c14epKRI5PkEUAiFRh0zUrVsGUydCsnJ4OUFR49CXNwfWqdcUQiFRSGUKi8vOHIEbt6EsjLw9ZXCQBmmvLy8qqqKdy06FWqOSpuXFwQGSiSBtbW1y5cvDwgIaGxstLOzGzFixO7du3lXqjOgEJL7a2ho+Prrr319fefMmVNYWDhs2LABAwZcunRp0qRJL730UmFhIe8KWjgRNmkjnUdjY6NGo2GbdQPA8OHDk5OTEbGhoSEuLo5tGufi4hIXFyfqbq2dG4WQ3FVSUtKQIUNY/IKCgjQajcFgQETjrqnsYsg+MHbs2HPnznGtr6WiEJI7OHjw4Pjx41m6evfuHR8fr9frEfHYsWORkZHjx49v/uHExES2a7Ktra1KpdLpdJxqbakohOQPzpw5ExUVxeLn4eGhVqu1Wi0ipqenT5s2je3U7erqeuXKH3axLysri4mJsbKyAgBfX1/WZCUmohCSJpmZmVFRUSxmTk5OKpWqoqICEa9cuaJUKtlGyAqFQqVSlZaW3vEIKSkpAwcOBACZTBYdHV1UVGTeb2CpKIQE8/LylEol2zi1ecyKiopUKpWDgwNraiqVyuvXr9/7UPX19Wq1mv2Kl5dXQkKCWb6BZaMQdmmtY5afn4+IlZWVarW6e/fuAGBlZRUVFZWTk2P6YXNycsLDw1mbduLEidnZ2aJ9g86AQthFVVVV3TFmNTU1cXFxPXr0YBEKDw8/depUO45vMBgSEhI8PDwAQC6Xx8bG1tXVCf0lOgkKYZdTVla2ePFiT0/PFjGrr6+Pj4/v1asXe3/MmDEHDhzoYFklJSVKpZIdcPDgwUeOHBHiG3Q2FMKuJTc318mpaYGm0NBQlooWT+SHDRuWmJgoYKF79+719/dnl1ylUllZWSngwTsBCmHXsnz5chaGb7/9lr3T/Il8YGCg8Ym8sGpqat577z3W9+Pm5rZ48WLBi7BcFMKuZfPmzQAwYsQI9tI43qVv377r169nT+TFc/r06ZCQEFbirl27RC3LgtAA7q6FPe7zuTVJf+zYseyJfGZm5iuvvML+VjyDBw9OTU1lnbEXLlwQtSwLQiHsWlrMx33nnXcuX75sfEohnuzs7NTU1MLCQjs7u4ceeggARo0aJWqJFoRC2LW0CKFcLnd0dDRDuZ9++uno0aO3b99urIN5yrUIFMKuhdfKFM3LpdUxWqAQdi0UQgmiEHYtWq0WAORyc+9q1jqE5q+DZFEIuxa6EkoQhbBr4R7Curo6tk6UjTRWr5ICCmHXwj2EdBlsjULYtVAIJYhC2LVQCCWIQti1UAgliELYtXDJACIaH41QCFujEHYtXDKg0+kMBoODg4O1tTWFsDUKYdfCJQP0kPDeKIRdC4VQgiiEXQuFUIIohF0L6yChEEoKhbALqa+v1+v15h8yRiG8NwphF8L9ISHHOkgZhbALaRGAysrKZcuW6XQ6c5bLay6VlFEIu5DKykoAsLe3Zy8XLVq0aNGi4ODgpKQkUculK+G9UQi7kHPnzgFAXl7e9evXAeDFF18cNGhQbm7u448/Pn369KKiIpHKDQwMVKlUU6ZMAU49Q1LHe81FYj6nTp1iWwh6enpu2bIF/7iJkpubW3x8vBgr/zYXGhoKAHFxcaKWYlkohF3L1q1b/fz82Pk3MjIyLy8PES9cuBAREcHefOyxx7KyskQqffPmzewsQCtwN0ch7HIMBkN8fDzbj8nR0VGtVrOFtzUaDduMSYxNlH799ddhw4axnLu4uIiXc0tEIeyirl+/Hh0dzVIREhKSlpaGtzZRYpv1PvTQQ4cPH+54QUePHg0LC2MFeXp6Llq0qKqqquOH7UwohF1aYmJi7969AcDGxiYmJobFY9++fQEBAQAgk8mUSiXbNLsdMjIyjPtvu7m5qdXq2tpaQavfSVAIu7rq6mqVSsV2oejfv//u3bsRsba2NjY21s7ODgC8vb3buut1823uHR0dVSpVWVmZONXvDCiEBBHx5MmTjz76KGs0RkVF3bx5ExHPnDlj3DEiMjLyypUr9z1OYWGhSqVijyLt7OyUSuWNGzfEr75loxCSJg0NDXFxcd26dQMAV1dX9riieS+OQqEw9uK0xra5ZzuQsv23c3NzzfwVLBSFkPzBxYsXn3jiCXb1GzduXEZGBiJeu3Zt2rRp7E2VStXiV2pqatRqtaurK/tAeHj46dOnedTdUlEIyR1oNBq2qb2tra1KpdLpdIi4c+fO4ODgq1evGj/Gtrn39vY2xu/48eP8am2pKITkzsrKymJiYtizdT8/vz179iCicTxNi23uR4wYkZyczLW+FoxCSO7lwIEDQUFB7HFFdHR0cXEx/nGb+4EDB4q0zX3XIUPE9g88JV2ATqdbtmyZWq2ur6/v0aOHh4dHZmYmAPTv33/p0qUzZsxgV0vSbhRCYpKcnJw333zzwIED9vb2CoVi3rx5c+bMMc6KIh1BISSmQkR7e/uGhobS0lJjXyjpOAohMZVer7e1tbW2ttbr9bzr0qlQa56YiibFi4RCSExFIRQJhZCYikIoEgohMRWFUCQUQmIqCqFIKITEVBRCkVAIiakohCKhEBJTUQhFYtaNQYhF04ZqrU5Yubi48K5IZ0NXQmKqGkONAQxm3tGpK6AQElPVGmoBQGFFzVGBUQiJqbQGLVAIRUAhJKZiIZRb0a5mAqMQElNRc1QkFEJiKgqhSCiExFQUQpFQCImpKIQioRASU7EQymXUMSMwevBKTDXTfeb4buMDHAIAoLKxEgGdrZ15V6ozoCshMUmRvihDl3FWdzahNOF6w/W1JWtXFK3gXalOgkJI7q+ysXJ41nAXa5cFXgt8bH2+KfmGd406FWqOkvv7puSb8d3Gz/WcCwAPyR8CgM8KP+Ndqc6DroTk/jJ1mcMdh/OuRadFIST3ZyOz0SOtNSoWCiG5v4flDx+oPsC7Fp0WrcBN7k9n0I3IHhHmFPa089M3Gm4orBSX6y9rDdr3e77Pu2qdAYWQmERr0H5b+m2WLsvTxjPKNapQX6hH/bhu43jXqzOgEBLCGd0TEsIZhZAQziiEhHBGISSEMwohIZxRCAnhjEJICGcUQkI4oxASwhmFkBDOKISEcEYhJIQzCiEhnFEICeGMQkgIZxRCQjijEBLCGYWQEM4ohIRwRiEkhDMKISGcUQgJ4YxCSAhnFEJCOKMQEsIZhZAQziiEhHBGISSEMwohIZxRCAnhjEJICGcUQkI4oxASwhmFkBDOKISEcEYhJIQzCiEhnFEICeGMQkgIZxRCQjijEBLCGYWQEM4ohIRwRiEkhDMKISGc/T9ag4xUqZESrQAAAmV6VFh0cmRraXRQS0wgcmRraXQgMjAyNS4wMy4zAAB4nHu/b+09BiAQAGImBghQAmJVIG5gZGNIANKMzBCaiYnNQQNIM7OwOWSAaGZGJAZEhp0BTAN1QPgcEJoJxmdnAGtgYiRsFEIr1BEEFUDtEGBQALmWsA2CYIWMWBSgux5DBTcDIwMjEwMTcwYTM0sCC2sGEyubAhu7AjuHBhM7pwInlwIXtwI3TwYTD28CL18GEx+/Ar8AA59ggqBQBpOQsIKwCAOnqAaTqBiDmDiDuEQGk4RkgqRUBpOUNIOUTIKMbAaTqJyCnLwGE6tCgoJiBpMiU4Icm4IQd4KseIITC9ANbEyKCqwszKzsbHKinGw8vHyCQtxsEpJSMrLi4osYgb5igMWm7heBg6wX9tuDOKlzmA8+etBgB2JXBl8/oFS2GczeJnvowBKpmxA1FpMOfNn/FMxeI5h/ICCAB8zmdOc/8GGWKpjNprtj/zGrr2D2tvT/++ccDnYAsYMlKmwu8h4Di5+rn2pfWaQAFr9wRcXhXus/sPgrRVOHoPlMYHbW7HaH+VvZ94DYgfVrHHL6i8HixzpvOrQvugt2W/CGhw6Tz7buB7GPRCxx+FYnDTZz/pw8h4Z1NmB2q3+cw9klvWD2Ku4pDlOj1oDZHBEvbWME/W3B7mHaaM980R5szqH+lfYHHvIfAKs3VNy9Y54NmL2hpGKvtFsfmL1i5Sz7+HvLwew5ZpPt5a5eB7OZXJUcHtVPBLM7/qk6uAk5g9kfty3e793CCDb/2eNL+2Pu/wKzZ+7rOfBC0wfMfrV4z4H2klQwWwwA9c+rV9VJj94AAAMaelRYdE1PTCByZGtpdCAyMDI1LjAzLjMAAHicfVZbbtwwDPzfU+gCa4hPiZ9NNiiKIrtAk/YOBfrZ+6NDbSM7iFp7TdjSrDQkh7RPJY9vl68/f5d58OV0KqX+5xcR5YfUWk/PJW/Kw9PnL9fy+Prp4W3k8fb9+vpSRIs0/Afne+yn19vz2wiVx3KOrVo4SaFNo5t4qVsdx/5XTmDfmM27YJ6NGq2AkkDfGvdQDG9i1YgWQL0Dqztxw9YOCrxa0RKom3lIVwBbaHBdAD2BsjUxNcW8aae6ArZyLWfeWHob1Fy9hy2APVdEVKT3llsHWbcVxyi3BEaYmBTZpPZOugAS8pPDZKQZcNPG0VZAAknayFu4FN6sevQlMFOD+QZ3Izn2rr7ymmQAu1QazhpV1iXHTI0iPK0xlXMCOo+sf0BmbmyTqKaM+YBXdUnSESCoInr1jnkVRoBWwIYVGwTJDRFHSKuaLBVJfexNYh3zvCmH89KdAFBSkVIDwIAsbLU3RHUDUJt4FQRA2cVX3jCNADm7Ykf4371aXwF5ZJtIQsZCKAZbcWQpL8idIM7RM+QNGl+GnDM5QLI2DKeK053lmqNwcpxTEOf0vNFSQ+x/oV4djqDaVP/lUhv7c0U0pZwN+9u6eBgJ+pUStkpVR1NQbb6Exl3DqFznUeyoSF/lKPtbIkM8fRLoo0Ws5C50L15uUZFZeIfgB6+2F76Xr2uzXkchW4Qu95d7N5Lo7D4yFc2WpS6jw9mG6FQID9COUsbdR+jT9fKuLd8b9cPtetkbdZ68t2M8FNmbrua1t9Y8bW+geCi+t0nC1fZmSLj63vIYV+yNjfBIx/5Fw9ChUdEwkxw6kqahyY+SYL5gJkVKhjA0WaKX0DCTKCXTNJMruoMOzKSLLqBpaDKmpAzDx7qmNDw5c0aPsj4PlUppeHJGSVIanpw5OcPw5MwZWhienFFJmoYn53y5peHJmZNzjkzO0L+mkaPOBx+ZnGVknCDWg2wVmZRdBkMHeP9MypKU80tgDmSUscqkJ0k4Y7Yvm0Ee7h7leRRjPr99ceD+9AdheqBYtAFFugAAAZF6VFh0U01JTEVTIHJka2l0IDIwMjUuMDMuMwAAeJwlkTuO5DAMRK+yYTegFvj/oDGR85lgj+B0jzCH36I6seVnkcUqXtfN930/vuV6fP08r8f3rfP9cz3vW/H8uh5/P+j6N+h5Ce7dN//5fbx6k3fw4m1dbuv9qi3iUYu2OCcHUOyUagNSJ2c+iCJYURc97/fLtkdrgWRbC4juVDdHmVtNkWzRSgYIi2oHgq5WJaqaveKQbldfupVqymgTO5s4LrkltHhzZMeS7RTd641DuvV0qbIYUEoyykxisGWQzpT1QjcqwV+o+9YmH18NAcr1htMuHAhjyVFPBCSZC3ORudpUsXoZ1E06YFQnHmWAhk8fgDFjGS6E5oiHhMmCXgXFWGLW1tEhJOpzifFTegZMxFfHpopBGbF9+p7hxbAwHdqW3B+Krl5wB0k7CryF0OPlqPXqk5kTr9mlGfxMZthOTA1edULz1gBRWM3JFaYlm05smLPls7Kw9JpE2rvt7F67JM/wncgSzDc2PIqEQyj1ev7+B6tejJApvDdCAAAAAElFTkSuQmCC</base64_image>",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
Cc1cccc(NC(=O)c2cc(-c3cccs3)nc3ccccc23)c1C
| 1,216,875 |
{"donors": 1, "acceptors": 3}
| 358.466 | 5.83244 |
[
{
"content": "Calculate the hydrogen bonding capacity (donors and acceptors) of the molecule 'Cc1cccc(NC(=O)c2cc(-c3cccs3)nc3ccccc23)c1C'.",
"role": "user"
},
{
"content": "{\"donors\": 1, \"acceptors\": 3}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
OOC(O)c1ccccc1
| 286,896 |
{"donors": 2, "acceptors": 3}
| 140.138 | 1.1671 |
[
{
"content": "Calculate the hydrogen bonding capacity (donors and acceptors) of the molecule 'OOC(O)c1ccccc1'.",
"role": "user"
},
{
"content": "{\"donors\": 2, \"acceptors\": 3}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCC(C)NCC(=O)O
| 42,811 |
131.18
| 131.175 | 0.4591 |
[
{
"content": "Provide the molecular weight for 'CCC(C)NCC(=O)O'.",
"role": "user"
},
{
"content": "131.18",
"role": "assistant"
}
] |
Solubility_Prediction
|
CSc1ccc(CN2CCN(S(=O)(=O)c3ccccc3[N+](=O)[O-])CC2)cc1
| 1,342,548 |
{"log_s": -3.89, "solubility_mg_ml": 0.0001, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 407.51700000000017, "logp": 2.82, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 2}}
| 407.517 | 2.8232 |
[
{
"content": "What is the solubility prediction for the compound represented by 'CSc1ccc(CN2CCN(S(=O)(=O)c3ccccc3[N+](=O)[O-])CC2)cc1'?",
"role": "user"
},
{
"content": "{\"log_s\": -3.89, \"solubility_mg_ml\": 0.0001, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 407.51700000000017, \"logp\": 2.82, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 2}}",
"role": "assistant"
}
] |
Molecule_Visualization
|
CC[N+](C)(C)CCCOCCC[N+](C)(C)CC.[Br-].[Br-]
| 46,895 |
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5PeOTIkXdnzmx67QwezHv3qjXhzZ1I9MXMme17H44bNz48/Kxju7D5HivFxY5t3xGui3D8eCbil1925LkNDbx+PY8bl0NEXl5eWVlZ1c3vzrfCpUuXmu9JFRoaqso9qe7Q2Ni4adOmrl27EpFWq83MzKyqqnJgQi8vr6MPP8zr16v//kBDA69ff2P4cF9v77ZM6Lb7sLq6OisrS5lw3LiXHd6Fv/udq+825qIIt29nIg4JYXvaudPly5cXLVqk3GEuKChIr9fX3uvmpMo/T4WEhCj/PJWVlXVBrfvdYcJ2OuGlSxwaykT8r385vIZ9XBGh1cqxsUzEa9eqsFpZWVl6erpy3tKvX78W7rW6a9eu/v37K48cO3ZssavOMDChp0/4pz8xEUdHu+gO1K6I8I9/ZCKOi1PzDuR37Pqi22+TePLkyVb+FToPJvTcCevruX9/JuI1a9RasiVOj/CnnzgkhIl4xw6VV7ZarTk5OZ07d771JOTcuXPNJzMhISErVqy458mM8/xywoqKiltPt9xwQuxDxc6dTb+VqA039W0tp0c4axYT8ZNPOmv9W38cDwoKUt7pduDNG+e5dUKNRhMUFOTOE2IfNnviCSbirCwnLX+TcyM8duzH0NDLOh2Xljp1O01vnet0OuWjGw6/we08JSUlkZGRyj9tt+UteOfxoH2o0+lcsA9LS1mn49DQy8eO/ejUDTn3Rk+jR48uLi557bV//v73Kc7bSrN169YR0ezZs12wLcdgwrZz5YRvv31w7drfDBiQkJ+f77ytODHC3NzcKVOmdOnSpaysTHn7GMCzXLt2LTY2tqqqKjc3t/n3n6nOWRf1WiyWRYsWEdGyZctQIHio4ODgJUuWENHrr79uNpudtBVnRbh69eozZ84MGTJk5syZTtoEgAvMmjUrMTHRaDSuWbPGSZtwyuloZWVlbGysyWTKz88fNWqU6usDuNKBAwdGjBjh5+dXWlqqXLisLqccCRcuXGgymSZPnowCoR1ITU2dOHGixWJ58803nbG++kfCgoKC1NRUX1/fEydOKL+0EMDTGY3GuLg4i8Xy9ddfp6Wlqbu4ykdCm802d+5cZl6wYAEKhHYjMjJy3rx5zDxnzhybzabu4iofCTdu3DhjxowePXqcPHkyMDBQxZUBZJnN5vj4+IqKio0bN06fPl3FldWM8Pr167GxsefPn9+yZUtGRoZaywK4iS1btmRmZnbt2rWsrCxYvV8To+bp6A8//ODt7Z2cnPzcc8+puCyAm8jIyEhOTvbx8VH3/sUqn46azeYLFy4od9ECaH/Ky8u7dOkSEBCg4prO/ewoANyTu/z+EID7FiIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBhiBBAGCIEEIYIAYQhQgBh/w+paRQ0DjqX4QAAAQd6VFh0cmRraXRQS0wgcmRraXQgMjAyNS4wMy4zAAB4nHu/b+09BiAQAGImBggQhvIbGNkYEoA0IzOEZmJiV1AC8VlQxRHy6DQHgwKIxiVNnHGMzMoKIKf9h1LcDIwMjEwMTMwMTCwMTKwMrGwMbOwM7BwMHJwMnFwMXNwM3DwMPLwMPHwMPPwM/AIMTiBPib8DGcUA8+KsG+cdtm5hcQBxQOzLl4TsQeyHbsuA4ib7IOw+B+8N/VDxfQ4Vd/fsB7GDsioddHVz90PE1ZDUL7OHiQPBMiTx/UjqD8DEgeYcQIgvO4BQv+8AzC6gGw7A3AB05wGYO0FsmPtBYOsWFzg7KqoJzBYDAOqoWk3HgR+nAAABg3pUWHRNT0wgcmRraXQgMjAyNS4wMy4zAAB4nJVUy07EMAy89yv8A4kyedYHDtt2tSBEV4KFf+CK+H8Rt5SksJSS1FbiTpwmM25D0h6H+9d3+mp2aBois/EwM704Y0zzQDKg7ni6G6m/HLol0p+fx8sTgQkxr8l9jT1czg9LBNRT1J4DGGS1SS5YJqPN1MpKW+OMDr/hHI0UNDgiWFJGI0WfUAGpvz3dYIH7nNZr7yc4NKwNsb2SNmRc0DzjFLRPIZhr+8cMdLrlBHjZn+23/RdgykCrA7cmxasfugDbDIS2zMa1mxmZzvL+M7yVEvkW5BQ7kkIIUrs+FMKR2nV4CE3qHzxBiFK7GIBwpfaQCiFL7VEV0gq5oVO01L2VuPuJnA6mysl4tcD/ueA4DqsKmmuqO49DqSnptpROnpArFYJsvlSATEMRukxjkTOypSJaZGuLNJGNiwAhVssMk0OlJkzOVqLB5FylDUzOV+TPkVBxPEdixSUml+p7qm9F5stfKo+bD3n+71I8ZxNKAAAAtnpUWHRTTUlMRVMgcmRraXQgMjAyNS4wMy4zAAB4nG2QwQ7DIAiGX2XHNhMCCLWkt3nfHqDpS+zch59du8xEEzHk8/8ByXl93rchj+XknF8laoDr4w3bed/2YUJ1Yw+ClKLFsPwAoRUgHhZD9oktACGnSROHRVH1QIwsYunQ+BcAoyazIok4e2I+XC6nS9B8prkuxCjupLWK6nfoCKBTBzrtoDM4tINC8xlodwDNnijEf6pXOu4fjHVOlfq3SpUAAAAASUVORK5CYII=</base64_image>
| 406.247 | -4.0162 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'CC[N+](C)(C)CCCOCCC[N+](C)(C)CC.[Br-].[Br-]'.",
"role": "user"
},
{
"content": "<base64_image>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"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
COc1ccccc1NC(=O)C1=C(C)NC(SCC(=O)Nc2cc(Cl)cc(Cl)c2)=C(C#N)C1c1ccco1
| 1,398,606 |
569.47
| 569.47 | 6.30158 |
[
{
"content": "Determine the molecular weight (in g/mol) of the chemical with structure 'COc1ccccc1NC(=O)C1=C(C)NC(SCC(=O)Nc2cc(Cl)cc(Cl)c2)=C(C#N)C1c1ccco1'.",
"role": "user"
},
{
"content": "569.47",
"role": "assistant"
}
] |
Reactivity_Prediction
|
CCCCOS(C)(=O)=O
| 15,953 |
{"charges": {"C": [{"atom_idx": 0, "charge": -0.065}, {"atom_idx": 1, "charge": -0.054}, {"atom_idx": 3, "charge": 0.066}, {"atom_idx": 6, "charge": 0.064}], "O": [{"atom_idx": 4, "charge": -0.27}, {"atom_idx": 7, "charge": -0.2}, {"atom_idx": 8, "charge": -0.2}], "S": [{"atom_idx": 5, "charge": 0.264}]}, "dipole": 1.52, "steric_hindrance": 1.11}
| 152.215 | 0.7627 |
[
{
"content": "Determine the reactivity prediction of the chemical structure 'CCCCOS(C)(=O)=O'.",
"role": "user"
},
{
"content": "{\"charges\": {\"C\": [{\"atom_idx\": 0, \"charge\": -0.065}, {\"atom_idx\": 1, \"charge\": -0.054}, {\"atom_idx\": 3, \"charge\": 0.066}, {\"atom_idx\": 6, \"charge\": 0.064}], \"O\": [{\"atom_idx\": 4, \"charge\": -0.27}, {\"atom_idx\": 7, \"charge\": -0.2}, {\"atom_idx\": 8, \"charge\": -0.2}], \"S\": [{\"atom_idx\": 5, \"charge\": 0.264}]}, \"dipole\": 1.52, \"steric_hindrance\": 1.11}",
"role": "assistant"
}
] |
Hydrogen_Bond_Properties
|
COC(=O)c1cc(N)c(Cl)s1
| 770,013 |
{"donors": 1, "acceptors": 4}
| 191.639 | 1.7703 |
[
{
"content": "Identify the number of H-bond donors and acceptors in the compound 'COC(=O)c1cc(N)c(Cl)s1'.",
"role": "user"
},
{
"content": "{\"donors\": 1, \"acceptors\": 4}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCc1ccccc1NC(=O)CSc1nnc(CSc2nc(C)cc(C)n2)n1CC
| 1,987,561 |
442.61
| 442.614 | 4.29034 |
[
{
"content": "Provide the molecular weight for 'CCc1ccccc1NC(=O)CSc1nnc(CSc2nc(C)cc(C)n2)n1CC'.",
"role": "user"
},
{
"content": "442.61",
"role": "assistant"
}
] |
Solubility_Prediction
|
Cc1ccc(CN(Cc2cc3c(C)ccc(C)c3[nH]c2=O)Cc2nnnn2CCc2ccccc2)cc1
| 1,464,186 |
{"log_s": -6.37, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 492.6270000000003, "logp": 4.88, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 5}}
| 492.627 | 4.88496 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'Cc1ccc(CN(Cc2cc3c(C)ccc(C)c3[nH]c2=O)Cc2nnnn2CCc2ccccc2)cc1'.",
"role": "user"
},
{
"content": "{\"log_s\": -6.37, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 492.6270000000003, \"logp\": 4.88, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 5}}",
"role": "assistant"
}
] |
Molecule_Visualization
|
COc1cccc(N2CCN(C(c3ccccc3)c3nnnn3Cc3cccs3)CC2)c1
| 1,447,784 |
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</base64_image>
| 446.58 | 3.7031 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'COc1cccc(N2CCN(C(c3ccccc3)c3nnnn3Cc3cccs3)CC2)c1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Molecule_Visualization
|
COc1cccc(NC(=O)CN(CCc2ccccc2)S(=O)(=O)c2ccccc2)c1
| 1,352,270 |
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</base64_image>
| 424.522 | 3.5673 |
[
{
"content": "Provide information about Molecule_Visualization for the molecule with SMILES 'COc1cccc(NC(=O)CN(CCc2ccccc2)S(=O)(=O)c2ccccc2)c1'.",
"role": "user"
},
{
"content": 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gBmzZqFN7+hpkyZYoZyU1OxY0cEwPBwbOUj0tzc3HXr1o0fP974OuPk5MTat5aWlmJPRvZAw4YNY5cjLqWfPHkSAHr27ImI58+fb8H3rOk7Zu4cUXXt2jWWzJ49e+YKMyWJ4McffwSA8ePHI6dBTHd67rnnAOC7775DRHaLsm7dOvMUnZGBTk4IgKGhzZuzAxHr6nD/fvVbb73Vt29fIXisU3fZsmXp6ek6nc5gMPzzn/8E8Scju7/KykqZTGZpaVktrBNiXqzj7eWXX8ab37NTp05t1hHEeovitjmqysrKRowYAQAeHh4XLlwQqdBXX30VAD755BPkN4jJmMFgYJcLNpEzG4925swZs1XgxAl0dkYAbOLI2eJijIvDiAjs2BGlUr2LixsYTQF41xsZM0xGdn+7du0CgFGjRnEpHRGfffZZAPjvf/+LN79n//Of/zTrCCJOb3HbiKqKigo/Pz8A6NKli0j/I/bp0wcAjhw5gohDhgwBToOYBH/++ScAuLu7I+KFCxcAwMXFRewG4W1On8aZM/HSJQRA4XL18cf47ruNP2u1+McfuGgRenvfmutRIsHBg/Hjj+MPHDjwwPd0hA/6//7v/8Q8lbtbvHgxACxbtsz8RSOiwWC4s0FoPENUU4g77+htI6o0Gk1wcDC7af7zzz9NW9bVq1eFBiH3QUzM+rVrAWDmzJmI+M033wDA88KqTuZ19So6OeHjjyMbUMVC+MMP+NxzaG9/K3sdO+LkyfjNN9jcEYeiTkZ2f8OHDweApKQkM5fLsI43Dw8PvPk924KON9EXhLltjqrq6upx48YBQOfOndkly1S2bNkCACEhIdg2BjEhIj7/fG2vXrlbtiDiG7NnA4A5F/c2dvUqennhRx/hK68g3gzh8883Zs/LCxcswKQkbM1rz+JNRnYfVVVVcrncwsJCI0wIa17GHW9ff/01AERERDT3IOZYLvuHH34wnqNKq9Wy7opOnTodPHjQVKWw3qDo6GhEfOutt7g3CNFgQFdXBGictbtHj9peva6bsUFojIWwrg5798a0tMYQ/vEHxsai0WKtrSXSZGT38fvvvwOAv7+/eYq7k3HH24wZMwBg7dq1zT2ImdasF+aoWrRokcFgaGhoYDW2tbU14VCjrKwsNlcke6uF8ywsp04hALq7IyLm5CAAurigeRuEAhZCRNy3DwcPxtWrb7UJTeunn35iH/S8efPM0Pp95513AOBdkU7mQYSON9bn3+KONzOFEO+Yo0qn082aNQsAbGxs9u7da8KCiouL+fZZN/rySwTAmTMRETduRACcPJlXXYQQImJEBHp7ixVCFGEysvtgXe779u1j/zx06FBFRYWoJRo7deqU0PHGZltsWceb+UKIf5+jij1omjdvHphurhS9Xn/kyBHWR+ri4tL6A7YKa3KxjvuZMxEA+b13axzCoiLs2FHEECJiYmIi+6BffPFF0852JWhoaNi3b59cLpfL5eyF6YMHD9rZ2fn6+t64cUOMEu/0xRdfmKTjzawhRMSUlBS2jiebo8pgMLBp6iwsLFo8V7fxui7Ck+WXXnrJpBVvJqFBePEiImKPHgiAp07xqo5G87dVa3bvRpVK3BKFycimTp3aytmujN22rkuXLl2Eb/CCgoInnngCAPr162eeF8onT54MAOwBaWRkZIs73swdQrzbHFXLly9nD3zZE8+mMBgMx44dW7Vq1ciRI9kUgIyXl9fEiRNXr17N9+EEnjmDANi9OyJibi4CoKMj3ymBP/4Yx41Dcw7tMtVkZDqd7uDBg8uWLbttMbM+ffqwUazCGMni4mI2pVCfPn0KCwtNdyp3YTAY2LomOTk5eLNBePr06RYcikMI8W5zVK1YsQIAunbtev+pctRq9c6dO6OiothTUUYul/v7+0dHR2dkZJjrDB5k7VoEwBkzEBG//RYBcNIkvjUKDEQA3LHDrIUKH3RISEhzvxavX7/ObnC6dOkifNbCui7CFPfLli0z/gYvLS1lTw49PT1ZPERy+vRpAOjevTsi5uTkAICTk1PL2sB8Qoh3m6NqzZo19/oiEea9ZT1vTJcuXdgUgKZa18WUIiIQAL/+GhHxpZcQAHmMJhHU1aGVFUql2KJ531tF+KADAwMfOBmZXq9ni5kpFAr2tEO4wWFr+Nz1CGzIjlQqZXeG5eXl7MVCDw+P7OxsUc4K8csvvwSAyMhIRNy4cSMATG5pxxu3EOKD5qjSaDTsosfmz2FkMplw0TPz+K9mMBjQzQ0BkI2SZQ1CU48QapbkZATAIUP4lC580KNGjbrrN2ZpaSm76BnPcWxlZcUuek0ZBfbxxx+D0dA5tVo9ZswY9k3dslvEB3r++ecB4JtvvkFEtqp2iye84xlCvNscVXed99bNzU2Y95ZvhZskNxflcuzWDREbR23ybhCuXIkAuHAhtwrk5ub27NkTAIx7L+96g9OzZ0920bvXJJH38p///Md46Fx1dTVbJs3V1TUzM9O0p2MwGNzc3ADg4sWLiMhmzWvxSEzOIUSjj6dbt27GFz25XB4YGBgdHW3yUabmUFWF7INPSEC5HJ99lm91xoxBAOQ7Zb7wQdva2g4bNoz9T8x06NBh7Nixn3/+eVZWVmuK2LBhAxs6x4bs1NXVTZgwAQA6d+58+PBhE50HIuKZM2eEBmFubi4AODo6tvihKP8QImJRUZGbm5unpyf73mrivLdt19Wr+NVXuHQpxsbi9euoVqPRkujmV1eH1tYolaK5np/dU1FRka2trait+tuGzmm12kmTJgFAp06d0tPTTVXKunXrAGDGjBmI+N1330HrJu9qEyHEmyuZ/fjjj223pddE+fnYrRuuXIk7duD//i+6uyOnVXEEKhUCoI8P31o0OnXqVGhoaFhYmHhd2bcNndPpdOwhnq2tranevq+rq1OpVGydBTbwKyYmpsVHaxMhvHLlCtycp5B3XVrtf/4H//WvW/9cvJhnUwwREXNyYhMTX42PbzPPb8R35xjJl19+GQBsbGzYurEmxBqErWl2tokQGk9c3+55e6Pxd7xSiU8+ya82iIjnzz+VkQHl5ZxngjGz24bOGQwGtmCzCSfFqaioYJM5WFhYtGaUbJsIofHE9e2epycad6kfPowDBvCrDRoM2hMnbDIyJA0N1zlWgwuVSmU8dM5gMLBJT+Ry+aZNm1p82Ds78AcPHtyaeraJELIhf2yewnYvOBi3b7/1z2+/xSY22a9dw8hI9PZGb2+cMgXz801SHbX6QEYG/PXXIJMcrd1JS0u7begcG5slk8nYS4BNVFVV9csvv7zyyiu3deD7+PiEh4e3cmgO/xAaT1zPuy6msH07DhmCJSWIiJcvY9++TR2vGRyMK1agTod6Pa5Zg4MHm+TRYlHRqowMKChY0PpDtVN3Dp1buXIlu4d84Nx/rVy4ron4h3Dz5s1wc57Ch8RnnzVe0AYOxNjYJv3JmTPo7o7GX0MDB2JKChYWopsbRkRgTAxmZLTgneDsbEVGBpSXb3/wrg+vO4fOffLJJ/e6EgqrtZpk4bqm4B/CqKgouDlP4aPrt99w7Ni/bXnhBfz6a9yy5dY0TADo5oZTpuC6dfjXX00JpMGgPXHCNiND0tBwTayatxMPHDp314ues7Mzu+i1ZuG6B+IfQjZx/dGjR3lXhKukJPTz+9uWCROQrWx17hyuX4/Tp2PXrsaBNPgOysl5vqRkbU3NGcS7B1KtTsvIgL/+Gij+CbQDdw6dY6u1LlmypF+/fkLwpFKpcNETe2YARoKIwE/d1ashoaFnr1y5UlRkPGr+kVNSAv37w/nz4OQEAFBTA48/DgcOgI0NGL20Bbm5kJYG6emwb5/2ye5n3k5jm+VyF1vbEXZ2ozp2VNjYDBHW+dFqL9y4sVEud3Nze9PcZ9Qm5eXlBQcH5+XlWVlZeXh4FBQU1NXVsV+5uLiMGzcuNDT06aefZm1Is+EcQti6FaZP14eFyRISeFajLVixAv74A/75T5DL4bPPoHdvWLoU3N3hscdg1ChQKGDsWOjZU9i9oTKnsiFFo1Gp1cn19ZeF7XK5s6Pj9O7d15SXb6muzpDLnRwdp3fo0IvHKbVFRUVFvXr1qq2tBQCpVDpkyBCFQqFQKIKCgnhdBniH8LXXIDYWPv4Y3nmHZzXaiJ07ITUVdDrw84PJk0GlgsmTobz81g49e0JgIAQFQWAgeHoKmxsaijSa9KoqpVqdpNXmOTvPlsvdamtPuri8odNd69Cht52dn/nPps06e/bsqlWrHBwcVqxYYTwlCi+8Q9i3L5w/D0eOwD/+wbMabVluLiiVoFTC/v1QWsq2Yfeup39Hdv9pa+tvbe0t7K7V5gEY8vIiu3RZ4uAwUdh+8WIoYoO9veK2W1bCHdcQFhdD165gawvl5fAoNwibyGCA06chJQVSUurcav96Za/wG0tLD3v7IDu7QHv7oA4dvADg6tVVN25806XLO46OL8hknQ2GmszMzoj1bH+ZrLO9/Wg7uyB7+0Brax+JRHb3EolZcA3h1q0wfTqEhMDu3dzq0F4ZamvPqNUparVKozmg090QfmFnN6pPn1QAqKpKKivbVFn5u5dXvL19cH39JbVapVanaDQqrTZX2F8mcxjw/WR59/4QGAiDB4OMAmluXK8/KhUAANflrNstqbX1IGvrQa6uCwBAq81Vq5UaTVpV1X4rq95sj44dx3bsOPbGja+Liz+xsRlmadnDyWmmk9NMAGhouKrRpFVVKTWaNF3VJfm6TVBfDwBgZwcjR4JCAf7+MGIEGL3wTsTD9UrYvz+cOweHD8OIEdzq8LBBvV4jk9nX1p62suonkciLilZotXn19QVa7Xk7uwA7O387u1E2NkMBGucO1KmvyHckQ0oKqFRw8eKtI3XsCKNHw8aN4OYGhYVw+jQ4O8PAgWBtzefMHl78QlhSAl26gK0tlJXRN67JFRYuqKpSAugtLT09PGKzswPr6wuE31pYPHazDRloZXVrLV4oLobU1MZHkSdONH46y5bBjh0QGgrXrkF6Ovz+O3h736VI0lL8QvjTTzBtGjzzDCQm8qnAQ02jOWBl1VcudxW21NWdu9mGVDU0FAvbfT4IlFt3aXzsYTRwBIqKICsLbGzgxRfh9GlgC9Zv3Ag//ADJyeY7k0cAvxC+/jp89RWsXg1Ll/KpwMMLUZeZ2dlgqPbxKZHLne/coa4uS61WaTQptaVH+/tfbmwQAoCrK/zjH41jA4YOBYkEVq6E+nr46KPGHXS6xt5slkliCvxCWF0N6enQu7fxQ2diEtXVh7OynrSy6uftffbBe58/DyoVqFSQkgJFRbe2u7pCWhp89hn06QNvGo1669IFDh0yHrtDWsnsvaMaDbz7LqSlgVYLgwbBhx+auwKPALU6BQDs7YOatHefPtCnD0RFARiNTd27F0pLwdMTuneHy7fGxEFtLZSVgdEUvaT1zD5sYu5cqKuD1FTIzISgIAgJgYYGc9fhYadWqwDA3r75z368vGDmTIiNhfx8yM4GCwt49ln46Se4cfM55Nq1EBYGRi/7kNYz7+1oSQn07g1FRbdaFIGB8Oab8Oyz5qvDww5R9+efTnp91aBBVywsTHHJWrMGvvgCRo2Ca9fg2jVISAAPDxMcltxk3tvRixfBy+tvbXofH8jONmsdHnY1Ncf1+iorq76mSSAAvPkmREXB2bPg7AyenmC0OBkxCfFDWFUFSmXjc4jXX4fa2r/9tqaG+tlMq+X3ovdhawvDh5vygMSIaCHMzYWEBNi1C1JTQasFALC2htWroaQECgvB3R0AQK+HAwdg9myx6vBI0mhUAGBnR4MB2w2ThrCmBg4ehIQE2LEDLl1q3CiTga8vhIVBeDg4OcHSpTB5MqxaBTY2sH49eHvDk0+asg6PNkS9RpMOJr8SEjGZIIRZWVm7d+9OTEzcWlXldPRo49YuXeCZZyAkBJ5+Ghwcbu29eDH07g27d0NNDQQFwUsvtb4CRKBWn9TrK62sepusQUjE18IQ1tbWpqenK5XKHTt2ZB2UoW8AAAuoSURBVGVlsY2qMWMm+flBaCiEhMCQIfdswU+cCBMn3v1XpHU2bEiJiXns3XcjaHRnO9K8EObm5iqVSqVSmZiYqNFo2EZnZ+cxY8YoFAq/CRPAaHlxYn4pKSlXrlzt1Kk/74qQZmjGc8ILFy6w6QkBQCqVDhs2LDQ0NDQ01NfXl63MSPjS6/XOzs4VFRWXL1/uZjxHG2nbmnElfOKJJ4YPH96rV6/Q0NBx48axKY1J23Hy5MmKioonnniCEti+NO929KjQ70LanpSUFAAICgriXA/STHQb+fBQqVQAEEjThbQ3vKc8JCYiNAgvXbrkQWM72xW6Ej4kMjMzKyoqevXqRQlsdyiEDwm6F22/KIQPg/z8fLbMY0BAAO+6kGajELZXOp0uLS1t6dKlw4YN8/LyOnHihIODg1KpNBgMvKtGmocmn29nCgsLExMTExMTlUqlMGipU6dOPj4+R44c2bRpk6Wl5YYNG2j4RDtCvaPtgF6vz8zMTEhI2LVr14kTJ4SPzMvLKywsLDw8PCAgwNLSUqVShYWFaTSaadOmbdq06ZFe77FdoRC2XSUlJSqVKiEhISEhoaKigm20sbHx8/MLCwubNGmSO3stE6C+vt7S0hIA0tLSxo8fX1VVFR4evm3btg40GUx7QCFsWx540Rs9erQQrdzcXLbnhQsX8vLyJBIJABw/fnzcuHGlpaWhoaHbt2+3srLidjKkicywJDd5oJKSkvj4+MjIyM6dOwsfjY2NjUKhiImJyc/PF/asrKzcvn37nDlzjAeIWlhYZGdnC/ucPHmSjewNCgpSq9U8Tog0A4WQpz179owaNWrw4MESo3cv+/bt+9ZbbyUlJdXV1Ql75uTkxMTEKBQKdtvJuLq6RkRExMXFlZeX33bks2fPdu3aFQBGjx5dWVlp3tMizUO3o9yUlZW5ubnpdDoAsLa29vf3VygUEydO7Nu3cYWWmpqagwcPJiQk/PbbbwUFjcu5yGSywYMHs1vToUOHSu4991l2dnZwcPDly5eHDRu2d+9eR0dHM5wUaQne3wKPro0bNwKAXC7fsGFDbW2tsD0nJyc2NjYsLMy4W8XFxYVd9MrKyppeRH5+/uOPPw4AQ4YMuX79uggnQUyAQsjNihUrAGDevHmIaDAYdu7cOXfuXE+jlTlkMpmfn9+HH354/Phxg8HQslIKCgqeeOIJAOjXr9+VK1dMegbENCiE3LAhZjt37mT/7NWrF8ues7NzREREbGzs1atXTVJQcXHxwIEDAaBPnz6FhYUmOSYxIWoT8lFXV9e5c+f6+vrS0lIHBwcA+OKLLyoqKkJDQ4cOHWry8S5lZWXPPPPMsWPHPD09//jjDy8vL9Men7QGhZCP5OTkp556aujQocePHzdPiRUVFSEhIYcPH/bw8FAqlewelbQFNMKQD/bmkTmnonBwcEhKShozZkxBQUFAQMCZM2fMVjS5PwohH2w+GDO//mdnZ7dr166xY8cWFxcHBwf/+eef5iyd3AvdjnKg1WodHBzq6+tLSkqcnJzMX/qUKVN27tzp4OCwZ8+eESNGmLkC5DZ0JeTg0KFDdXV1Pj4+5k8gAHTo0GHbtm2TJk2qqKgYN27cwYMHzV8HYoxCyAH3qSgsLS23bt06derUysrKgICANWvW8KoJAQohF9xDCAAWFhabN28eNGiQXq//4IMPONaEUAjNTavVHj58WCqVjh49mksFzp07d/bsWQCQyWQREREAYGFhwaUmhKEQmtuRI0dqa2sHDhzIpUEIAKtXr/b29o6NjQWAy5cvA8DChQu51IQwFEJz4z5ZPbsZ9vf3FyqjUCh4VYYAhdD8+DYIc3NzCwoKXFxcvL29i4uLs7Oz7ezshgwZwqUyhKEQmlV9ff3hw4clEgmvBiG79AUEBEgkkpSUFEQcPXo0tQn5ohCa1ZEjR2pqagYOHOjs7MylAsbX4bbQSUuAQmhmbaRByCpAIWwjKIRmxff/+7y8vEuXLjk6Onp7e5eUlGRlZdnZ2fn6+nKpDBFQCM1HaBCOGjWKSwWE67BUKmUNwlGjRlGDkDsKofkcPXq0urp6wIABrq6uXCpADcK2iUJoPuZ/h/A+FeDyLhW5Kwqh+fC9+BQUFOTn5zs6Og4YMOD69evnzp2zsbGhBmFbQCE0k5qamgMHDghPCHU63axZsw4dOmS2CiQnJwNAYGCgcYPQeCphwguF0Ex++eUXrVYrlUrZE8KvvvoqLi5u3Lhx7PJoBtQgbLMohGbi6ekplUr1ev2cOXMQ8fXXX581a5ZarQ4NDd23b58ZKmDcCOT+uJL8DcfpFh81q1atYmskvfjiiw0NDQaDYf78+QBgaWn566+/ilo0m0Xf0dFRr9eXlJRIJBIbGxutVitqoaSJKIRmlZKSYm9vDwDTpk1jOWSvEVlYWGzbtk28cuPi4gBg4sSJiLht2zYAGDt2rHjFkWah21GzCgwM3L17d8eOHbdu3Tpp0qT6+vo1a9YsX768oaFh2rRpLCpioAZhm8b7W+BRlJGRwd7oDQkJqampQcTo6GgAkEgka9euFaNENuU2W3WUTYmflpYmRkGkBSiEfNy5jucnn3zCcrhmzRrTllVYWAgAnTp10ul0N27ckEqlNjY2xosfEr4ohNycO3eOreM5atQoto7nV199xVahWLVqlQkL+v777wFgwoQJiLh9+3YAUCgUJjw+aSVqE3LTt2/f5ORkd3f3tLS04ODgsrKy1157bf369VKpdPny5UuXLjVVQQaDoVevXtQgbLt4fws86u5cx/PHH3+Uy+UA8M4775iwIL1ej4iDBg0CgAMHDpjwyKSVKIT8FRUV9e/fH4zW8YyPj2dvGM2dO7fFy4PeKScnRyKRWFlZUYOwTaEQtgl3ruO5a9cu9mT/lVdeYRex1sjJyYmJiWELIXbu3NkUVSYmQyFsK8rKyoYPHw4Anp6eFy9eRMT9+/fb2dkBwAsvvNDQ0NDcA1ZWVv7888+zZ8/u1q2b0PqQSCQfffSRCNUnLUchbEPKy8tHjhwJAO7u7tnZ2YioUqnYCJspU6bU19c35SDsoqdQKIzfkHB1dY2MjIyNjaXlstsgCmHbotFoxowZAwBubm6nTp1CxPT09E6dOg0fPryqqupef1VdXZ2UlLRgwQIPDw8heDKZzNfX97333svIyDBhw5KYHK1P2ObU1NQ8++yzSUlJLi4uSUlJPj4+mZmZHh4ejo6Ot+2Zm5urVCoTEhKSkpK0Wi3b6OLiEhQUFBYWFh4e3rlzZ7NXnzQbhbAt0mq1U6dO3bFjx53reNbW1qanpyuVyh07dmRlZbGNMpls8ODBCoUiLCzM399fIpFwqjhpCQphG1VfXz99+vRffvnFzs4uJibmySefTEtLS0hIUCqVdXV1bB9nZ+cxY8aEhYWFhYXdeZ0k7QWFsO3S6XQzZsz46aefjDfKZLLhw4eHhISEhoYOHTqUDXMj7RqFsE2rr6/38fHJysqSyWSTJk1SKBTh4eGPPfYY73oRU6IQtnUGg+HYsWO+vr5sLBt5+FAICeGMWhSEcEYhJIQzCiEhnFEICeGMQkgIZxRCQjijEBLCGYWQEM4ohIRwRiEkhDMKISGcUQgJ4YxCSAhnFEJCOKMQEsIZhZAQziiEhHBGISSEMwohIZxRCAnhjEJICGcUQkI4oxASwhmFkBDOKISEcEYhJIQzCiEhnFEICeGMQkgIZxRCQjijEBLCGYWQEM4ohIRwRiEkhDMKISGcUQgJ4YxCSAhnFEJCOKMQEsIZhZAQziiEhHBGISSEMwohIZxRCAnhjEJICGcUQkI4oxASwhmFkBDOKISEcEYhJIQzCiEhnFEICeGMQkgIZxRCQjijEBLCGYWQEM4ohIRwRiEkhDMKISGcUQgJ4YxCSAhnFEJCOKMQEsIZhZAQziiEhHBGISSEMwohIZxRCAnhjEJICGcUQkI4oxASwhmFkBDOKISEcEYhJIQzCiEhnFEICeHs/wE+YbhFKuBB4QAAAiN6VFh0cmRraXRQS0wgcmRraXQgMjAyNS4wMy4zAAB4nHu/b+09BiAQAGImBgiQA2IFIG5gZGNIANKMzBwMGkCamYnNAUyzsDlkgGhmRmwMiBJ2BrAAE9AMiADcDLCZTEzsYDuYYVw4TYwV6AwBsFlsMCtIci5OBjcDIwMjkwITcwYTM0sCC2sGEytbAhu7AjuHAgenBhMHFwMXNwM3DwMPLwMvHwMffwYTv0CCgGAGk6BQgpBwBhO3CIOIKAeTiBgQizOIS2QwSUgmSEplMElJJ0jLZDCxyWYwyTIlCPMlyIgnODGDPMAky8bKwszGLyAoJMzHJiEpJS0jLl7ECIwCBljcLA59d0Bjx5n9IE618YEDUzZNB7O15245oFffZQdiM2tePzDjzXJ7EHvzpNMHauQNHUDsroK5B9wWeYPZKSdLDzz4zQFmi7RKHlhZpwxmH7+1Yn/7hoNgvRwm1/ffP5JtC2IvvvvLVmrbN7C49d2Z9nMvJYHZ74w0HR7lLQOz53nlOUR0tIDdUO6+1CHYXwcsHnD5uEPXlD37QOyKr18dtPhswGY+OcrgeNHoAFjNh//3HM7vVwK74cTdDQ6sthC3fWEPt1e+JAj24+k5svvb6kLA5ui+FnJY0pIHFn+26ovdzrmMB0DsC7vL9jcpyIDZGttX7t/kWQlm29nV7OP5MRfMvskw0375tglgtlTUcXt5Fxcwm6m67cB+L32we8QATM+ZNcb4T2MAAAK6elRYdE1PTCByZGtpdCAyMDI1LjAzLjMAAHicfVVbbhsxDPz3KXQBC3xT/GzioCiK2ECT9g797/1RUm6yCiJ01yJ2tSNKJGfoU6vrx+X77z/t/aLL6dQa/OcXEe0XA8DpudVDe3j6+u3aHl+/PLzNPN5+Xl9fWj4x5Zq8P2K/vN6e32awPbazdxEPlXbGrhHsuaTDvI611G7tbDltNCYShyL7BsnlU7uJJCS/k4MCbYBSQOtO7GoNOyMGjA1Q70A2NPVG3c1VdltbAaUHRozROM+I7rEBegG5DwHB8ogC7LwBjnZtZ+ocw6WAqmJgG2CUx4ohcssMJpNDsEskQmUSuw0kr/yAZvi4Q1Z1oCORBKfLIBfeJRIpT4mdgMAkv49hQLtDYtWGsjQZrFTGAUh3+cGqDVdpGMoj6Ri6yw9WbbSjSXgBzRlm1T8BqzbWSURF2xmymoNpG3YVxzM/RlguQTRwG/ZI4Mjvg7Hyo4CqW48x9w7LIlIVUSh0xx+CGY0mZZMNSQsaTrIDYnupRHOEzWjUwnCXIJrCycSgWmYonwhcceuUE0o9z2YwkcHouAuIZDJD3IdZ8TPLmPcOObWTrowHcEGFQ8Z2e/tH4aRE6rXkEYq0DcrvXkmMGafk2JR2TKIqUnaLUOZRSCWi2CY/JlI1We61PZiZ7vpBNblylYRXLJ7bkCL0Z+TT9fKh39074MPtejk6YN10tLl8aXz0MqlxdKy69ehL+dLs6D6Sw48egznG0UkwRxz9gnLg2hawJnBRP05Di8xxGl70jNPIIlycRheF1msKcJGilEFfJCdlcCzakjIYi4ikDK1qmechXGRB09BC//sMLyzHOSMLm6UM6cLaek1KLuSUMuQLB6UMjYVqUoZioZRkDXhljsx/xvcJrDWw5Cs7rNTC43xFopUy9f72h5vPp78RN3DlwyyDPgAAAWJ6VFh0U01JTEVTIHJka2l0IDIwMjUuMDMuMwAAeJw9kU2KYzEMhK8yywQcI5X+Cb16+/Sij/Cu0YcfyQNjMJgPqVQqX983330en+vx9f28Po/rujHkxvNn0Nz/5OY/v49XbNUoWy/eViWx3i/fRI4cxGmsjWy7KteijSAjnKqAhC/ewlx8iDi7L+zwMGuiu7iqlrQQRzaRnUqKrmGlMw1bKsOamKmPzigWZysbCw7w5DZEmyzMqYVoM6AlXVQIlfXmDQJ5F2U6wdcbbVpiSoQOkLEss4RlWvfYZteKJh5C2ZZ9Q9V0vaiXSUH7iZ7u/ejpatW7rnf2M4XHIbGdtvIMnSUU5aNsnVTMnsjAGE6pchtl83Lu8f10No8zDhQna2yU+ZASDuZp1YjsYDsrgsFOZ7kkyTCV0vyXG6zWZFzGOFVQlzY6PyFuJyYuEx1iwAFmoTpt5H3Ot2HmTCyp0cXP378IAnvyQCPuFQAAAABJRU5ErkJggg==</base64_image>",
"role": "assistant"
}
] |
Functional_Group_Identification
|
Cc1cc(I)ccc1NCN1C(=O)c2ccc([N+](=O)[O-])cc2C1=O
| 1,070,737 |
{"amine": 2, "amide": 2, "nitro": 1, "halogen": 1, "phenyl": 2}
| 437.193 | 3.17342 |
[
{
"content": "Determine the functional group identification of the chemical structure 'Cc1cc(I)ccc1NCN1C(=O)c2ccc([N+](=O)[O-])cc2C1=O'.",
"role": "user"
},
{
"content": "{\"amine\": 2, \"amide\": 2, \"nitro\": 1, \"halogen\": 1, \"phenyl\": 2}",
"role": "assistant"
}
] |
GHS_Pictogram_Identification
|
COc1ccc(N2NC(C(C)=O)=C3C(=O)N(c4ccc(Br)cc4)C(=O)C32)cc1
| 1,842,727 |
["GHS02", "GHS06", "GHS08"]
| 442.269 | 2.5674 |
[
{
"content": "Identify the GHS pictograms that apply to the compound with SMILES 'COc1ccc(N2NC(C(C)=O)=C3C(=O)N(c4ccc(Br)cc4)C(=O)C32)cc1'.",
"role": "user"
},
{
"content": "[\"GHS02\", \"GHS06\", \"GHS08\"]",
"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": "Determine the solubility prediction of the chemical structure '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"
}
] |
GHS_Hazard_Statement_Identification
|
COC(=O)c1cc(N)c(Cl)s1
| 770,013 |
["H314", "H350"]
| 191.639 | 1.7703 |
[
{
"content": "Identify the GHS hazard codes associated with the compound represented by 'COC(=O)c1cc(N)c(Cl)s1'.",
"role": "user"
},
{
"content": "[\"H314\", \"H350\"]",
"role": "assistant"
}
] |
Molecule_Visualization
|
Cc1cccc(Oc2cc(NC(=O)c3ccc(COc4ccccc4Cl)cc3)cc([N+](=O)[O-])c2)c1
| 1,767,700 |
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</base64_image>
| 488.927 | 7.18022 |
[
{
"content": "Determine the molecule visualization of the chemical structure 'Cc1cccc(Oc2cc(NC(=O)c3ccc(COc4ccccc4Cl)cc3)cc([N+](=O)[O-])c2)c1'.",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Reactivity_Prediction
|
O=c1ccc2ccncc2[nH]1
| 589,676 |
{"charges": {"O": [{"atom_idx": 0, "charge": -0.27}], "C": [{"atom_idx": 1, "charge": 0.248}, {"atom_idx": 8, "charge": 0.051}, {"atom_idx": 9, "charge": 0.067}], "N": [{"atom_idx": 7, "charge": -0.263}, {"atom_idx": 10, "charge": -0.321}]}, "dipole": 1.46, "steric_hindrance": 2.73}
| 146.149 | 0.9231 |
[
{
"content": "Provide information about Reactivity_Prediction for the molecule with SMILES 'O=c1ccc2ccncc2[nH]1'.",
"role": "user"
},
{
"content": "{\"charges\": {\"O\": [{\"atom_idx\": 0, \"charge\": -0.27}], \"C\": [{\"atom_idx\": 1, \"charge\": 0.248}, {\"atom_idx\": 8, \"charge\": 0.051}, {\"atom_idx\": 9, \"charge\": 0.067}], \"N\": [{\"atom_idx\": 7, \"charge\": -0.263}, {\"atom_idx\": 10, \"charge\": -0.321}]}, \"dipole\": 1.46, \"steric_hindrance\": 2.73}",
"role": "assistant"
}
] |
Functional_Group_Identification
|
COC(=O)c1cc(N)c(Cl)s1
| 770,013 |
{"ester": 1, "ether": 1, "amine": 1, "sulfide": 2, "halogen": 1}
| 191.639 | 1.7703 |
[
{
"content": "What is the functional group identification for the compound represented by 'COC(=O)c1cc(N)c(Cl)s1'?",
"role": "user"
},
{
"content": "{\"ester\": 1, \"ether\": 1, \"amine\": 1, \"sulfide\": 2, \"halogen\": 1}",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
O=C(COC(=O)c1ccc([N+](=O)[O-])cc1C(=O)OCC(=O)c1ccccc1)c1ccccc1
| 1,034,761 |
diphenacyl 4-nitrobenzene-1,2-dicarboxylate
| 447.399 | 3.6742 |
[
{
"content": "Convert this SMILES representation 'O=C(COC(=O)c1ccc([N+](=O)[O-])cc1C(=O)OCC(=O)c1ccccc1)c1ccccc1' to its proper IUPAC name.",
"role": "user"
},
{
"content": "diphenacyl 4-nitrobenzene-1,2-dicarboxylate",
"role": "assistant"
}
] |
Molecule_Visualization
|
O=c1oc2ccccc2cc1-c1ccc(F)cc1
| 1,250,271 |
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</base64_image>
| 240.233 | 3.5991 |
[
{
"content": "What is the molecule visualization for the compound represented by 'O=c1oc2ccccc2cc1-c1ccc(F)cc1'?",
"role": "user"
},
{
"content": 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</base64_image>",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
CC1(C)C(Cl)C1(Cl)Cl
| 277,523 |
{"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"}
| 173.47 | 2.8075 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'CC1(C)C(Cl)C1(Cl)Cl'.",
"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"
}
] |
Bioactivity_Prediction
|
Cc1cc(C)cc(Oc2c(C(F)(F)F)oc3cc(OCC(=O)Nc4cccc5ccccc45)ccc3c2=O)c1
| 1,681,320 |
{"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": 533.5, "logp": 7.39, "hbd": 1, "hba": 5}, "structural_complexity": "High"}
| 533.502 | 7.39164 |
[
{
"content": "Determine the bioactivity prediction of the chemical structure 'Cc1cc(C)cc(Oc2c(C(F)(F)F)oc3cc(OCC(=O)Nc4cccc5ccccc45)ccc3c2=O)c1'.",
"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\": 533.5, \"logp\": 7.39, \"hbd\": 1, \"hba\": 5}, \"structural_complexity\": \"High\"}",
"role": "assistant"
}
] |
IUPAC_Name_Generation
|
O=C(COc1cccc2ccccc12)Nc1ccccc1NC(=O)COc1cccc2ccccc12
| 1,013,911 |
2-naphthalen-1-yloxy-N-[2-[(2-naphthalen-1-yloxyacetyl)amino]phenyl]acetamide
| 476.532 | 6.028 |
[
{
"content": "Give the IUPAC-compliant name for the molecule 'O=C(COc1cccc2ccccc12)Nc1ccccc1NC(=O)COc1cccc2ccccc12'.",
"role": "user"
},
{
"content": "2-naphthalen-1-yloxy-N-[2-[(2-naphthalen-1-yloxyacetyl)amino]phenyl]acetamide",
"role": "assistant"
}
] |
Stereochemistry_Analysis
|
COc1ccc(S(=O)(=O)N(CC(=O)Nc2cccc3ccccc23)c2cc(C)cc(C)c2)cc1OC
| 1,351,304 |
{"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"}
| 504.608 | 5.30784 |
[
{
"content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'COc1ccc(S(=O)(=O)N(CC(=O)Nc2cccc3ccccc23)c2cc(C)cc(C)c2)cc1OC'.",
"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"
}
] |
Hydrogen_Bond_Properties
|
O=C(Nc1cccc2ncccc12)c1ccc(Cl)c(Cl)c1
| 952,465 |
{"donors": 1, "acceptors": 2}
| 317.175 | 4.7939 |
[
{
"content": "Calculate the hydrogen bonding capacity (donors and acceptors) of the molecule 'O=C(Nc1cccc2ncccc12)c1ccc(Cl)c(Cl)c1'.",
"role": "user"
},
{
"content": "{\"donors\": 1, \"acceptors\": 2}",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
CCc1ccc2oc(-c3ccc(C)cc3)cc(=NNc3ccc4ccccc4n3)c2c1
| 1,645,359 |
405.50
| 405.501 | 6.44662 |
[
{
"content": "What is the molar mass of the substance with SMILES 'CCc1ccc2oc(-c3ccc(C)cc3)cc(=NNc3ccc4ccccc4n3)c2c1'?",
"role": "user"
},
{
"content": "405.50",
"role": "assistant"
}
] |
Molecular_Weight_Calculation
|
COC(=O)C(CC(C)C)NP(=O)(c1ccccc1)c1ccccc1
| 625,386 |
345.38
| 345.379 | 3.0928 |
[
{
"content": "Provide the molecular weight for 'COC(=O)C(CC(C)C)NP(=O)(c1ccccc1)c1ccccc1'.",
"role": "user"
},
{
"content": "345.38",
"role": "assistant"
}
] |
Solubility_Prediction
|
CCOC(=O)c1c(NC(=S)NC(=O)c2ccccc2)sc2c1-c1cccc(OC)c1OC2
| 1,251,119 |
{"log_s": -5.0, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 468.55600000000027, "logp": 4.62, "oh_groups": 0, "nh_groups": 2, "cooh_groups": 0, "aromatic_rings": 3}}
| 468.556 | 4.6196 |
[
{
"content": "Provide information about Solubility_Prediction for the molecule with SMILES 'CCOC(=O)c1c(NC(=S)NC(=O)c2ccccc2)sc2c1-c1cccc(OC)c1OC2'.",
"role": "user"
},
{
"content": "{\"log_s\": -5.0, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 468.55600000000027, \"logp\": 4.62, \"oh_groups\": 0, \"nh_groups\": 2, \"cooh_groups\": 0, \"aromatic_rings\": 3}}",
"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 IUPAC name for the molecule with SMILES 'CC(C)(C)[N+]([O-])=Cc1ccncc1'?",
"role": "user"
},
{
"content": "N-tert-butyl-1-pyridin-4-ylmethanimine oxide",
"role": "assistant"
}
] |
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