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
Stereochemistry_Analysis
COc1cc(C=NNC(=O)c2cc(C3CC3)nc3ccccc23)ccc1OCC(N)=O
1,388,519
{"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"}
418.453
2.7488
[ { "content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'COc1cc(C=NNC(=O)c2cc(C3CC3)nc3ccccc23)ccc1OCC(N)=O'.", "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" } ]
Hydrogen_Bond_Properties
Cc1ccc(NC(=O)COC(=O)CCCN2C(=O)c3ccccc3C2=O)cc1
1,662,486
{"donors": 1, "acceptors": 5}
380.4
2.55312
[ { "content": "Calculate the hydrogen bonding capacity (donors and acceptors) of the molecule 'Cc1ccc(NC(=O)COC(=O)CCCN2C(=O)c3ccccc3C2=O)cc1'.", "role": "user" }, { "content": "{\"donors\": 1, \"acceptors\": 5}", "role": "assistant" } ]
Synthetic_Accessibility
O=c1ccc2ccncc2[nH]1
589,676
{'sa_score': 8.85, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
146.149
0.9231
[ { "content": "Provide information about Synthetic_Accessibility for the molecule with SMILES 'O=c1ccc2ccncc2[nH]1'.", "role": "user" }, { "content": "{'sa_score': 8.85, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}", "role": "assistant" } ]
IUPAC_Name_Generation
CCNC1=NCCS1
202,955
N-ethyl-4,5-dihydro-1,3-thiazol-2-amine
130.216
0.6987
[ { "content": "Convert this SMILES representation 'CCNC1=NCCS1' to its proper IUPAC name.", "role": "user" }, { "content": "N-ethyl-4,5-dihydro-1,3-thiazol-2-amine", "role": "assistant" } ]
Molecular_Weight_Calculation
COc1ccc(NC(=O)c2cc3cc(Br)cc(OC)c3oc2=O)c(OC)c1
1,264,882
434.24
434.242
3.8336
[ { "content": "Determine the molecular weight (in g/mol) of the chemical with structure 'COc1ccc(NC(=O)c2cc3cc(Br)cc(OC)c3oc2=O)c(OC)c1'.", "role": "user" }, { "content": "434.24", "role": "assistant" } ]
Bioactivity_Prediction
CCCOC(=O)c1cccc(N2C(=O)C(Cl)=C(Nc3ccc(C(=O)OCC)cc3)C2=O)c1
1,700,034
{"predicted_classes": ["enzyme_inhibitor"], "class_scores": {"kinase_inhibitor": 0, "gpcr_ligand": 2, "enzyme_inhibitor": 4, "ion_channel_modulator": 0}, "bioactivity_likelihood": "High", "drug_like_properties": {"molecular_weight": 456.88, "logp": 3.87, "hbd": 1, "hba": 7}, "structural_complexity": "Medium"}
456.882
3.8658
[ { "content": "Provide information about Bioactivity_Prediction for the molecule with SMILES 'CCCOC(=O)c1cccc(N2C(=O)C(Cl)=C(Nc3ccc(C(=O)OCC)cc3)C2=O)c1'.", "role": "user" }, { "content": "{\"predicted_classes\": [\"enzyme_inhibitor\"], \"class_scores\": {\"kinase_inhibitor\": 0, \"gpcr_ligand\": 2, \"enzyme_inhibitor\": 4, \"ion_channel_modulator\": 0}, \"bioactivity_likelihood\": \"High\", \"drug_like_properties\": {\"molecular_weight\": 456.88, \"logp\": 3.87, \"hbd\": 1, \"hba\": 7}, \"structural_complexity\": \"Medium\"}", "role": "assistant" } ]
Molecular_Weight_Calculation
Cc1onc(-c2c(F)cccc2Cl)c1C(=O)N1CCN(c2ccccn2)CC1
1,203,224
400.84
400.841
3.79992
[ { "content": "Calculate the exact molecular mass for the molecule represented by 'Cc1onc(-c2c(F)cccc2Cl)c1C(=O)N1CCN(c2ccccn2)CC1'.", "role": "user" }, { "content": "400.84", "role": "assistant" } ]
Stereochemistry_Analysis
Cn1c2c(c(=O)[nH]c1=O)C(c1ccc(OCc3ccccc3)cc1)C1=C(N2)c2ccccc2C1=O
1,371,734
{"chiral_centers": 1, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 1, "chiral_center_details": [{"atom_index": 9, "configuration": "?"}], "stereogenic_double_bonds": 1, "max_stereoisomers": 2, "potentially_meso": false, "stereochemistry_complexity": "Medium"}
463.493
3.8176
[ { "content": "Determine the stereochemistry analysis of the chemical structure 'Cn1c2c(c(=O)[nH]c1=O)C(c1ccc(OCc3ccccc3)cc1)C1=C(N2)c2ccccc2C1=O'.", "role": "user" }, { "content": "{\"chiral_centers\": 1, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 1, \"chiral_center_details\": [{\"atom_index\": 9, \"configuration\": \"?\"}], \"stereogenic_double_bonds\": 1, \"max_stereoisomers\": 2, \"potentially_meso\": false, \"stereochemistry_complexity\": \"Medium\"}", "role": "assistant" } ]
Solubility_Prediction
O=C(O)c1ccc(NC(=O)c2ccc(CNC3=C(Cl)C(=O)N(Cc4ccccc4Cl)C3=O)cc2)cc1
1,408,298
{"log_s": -4.24, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 524.3600000000002, "logp": 4.4, "oh_groups": 1, "nh_groups": 2, "cooh_groups": 1, "aromatic_rings": 3}}
524.36
4.3995
[ { "content": "Provide information about Solubility_Prediction for the molecule with SMILES 'O=C(O)c1ccc(NC(=O)c2ccc(CNC3=C(Cl)C(=O)N(Cc4ccccc4Cl)C3=O)cc2)cc1'.", "role": "user" }, { "content": "{\"log_s\": -4.24, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 524.3600000000002, \"logp\": 4.4, \"oh_groups\": 1, \"nh_groups\": 2, \"cooh_groups\": 1, \"aromatic_rings\": 3}}", "role": "assistant" } ]
Functional_Group_Identification
CN(C)CCCc1c2ccccc2nc2ccc(Cl)cc12
287,683
{"amine": 1, "halogen": 1, "phenyl": 2}
298.817
4.5356
[ { "content": "Provide information about Functional_Group_Identification for the molecule with SMILES 'CN(C)CCCc1c2ccccc2nc2ccc(Cl)cc12'.", "role": "user" }, { "content": "{\"amine\": 1, \"halogen\": 1, \"phenyl\": 2}", "role": "assistant" } ]
Functional_Group_Identification
Cc1ccc(C(O)=C2C(=O)C(=O)N(c3nc(C)c(C)s3)C2c2ccc(F)cc2)cc1
1,547,476
{"alcohol": 1, "ketone": 1, "amide": 1, "sulfide": 2, "halogen": 1, "phenyl": 2}
422.481
4.83376
[ { "content": "Determine the functional group identification of the chemical structure 'Cc1ccc(C(O)=C2C(=O)C(=O)N(c3nc(C)c(C)s3)C2c2ccc(F)cc2)cc1'.", "role": "user" }, { "content": "{\"alcohol\": 1, \"ketone\": 1, \"amide\": 1, \"sulfide\": 2, \"halogen\": 1, \"phenyl\": 2}", "role": "assistant" } ]
Reactivity_Prediction
CC(=O)OO[N+](=O)[O-]
16,782
{"charges": {"C": [{"atom_idx": 1, "charge": 0.34}], "O": [{"atom_idx": 2, "charge": -0.249}, {"atom_idx": 3, "charge": -0.261}, {"atom_idx": 4, "charge": -0.089}, {"atom_idx": 6, "charge": -0.107}, {"atom_idx": 7, "charge": -0.107}], "N": [{"atom_idx": 5, "charge": 0.331}]}, "dipole": 1.21, "steric_hindrance": 2.5}
121.048
-0.3272
[ { "content": "Determine the reactivity prediction of the chemical structure 'CC(=O)OO[N+](=O)[O-]'.", "role": "user" }, { "content": "{\"charges\": {\"C\": [{\"atom_idx\": 1, \"charge\": 0.34}], \"O\": [{\"atom_idx\": 2, \"charge\": -0.249}, {\"atom_idx\": 3, \"charge\": -0.261}, {\"atom_idx\": 4, \"charge\": -0.089}, {\"atom_idx\": 6, \"charge\": -0.107}, {\"atom_idx\": 7, \"charge\": -0.107}], \"N\": [{\"atom_idx\": 5, \"charge\": 0.331}]}, \"dipole\": 1.21, \"steric_hindrance\": 2.5}", "role": "assistant" } ]
Stereochemistry_Analysis
C1CCc2c(sc3c2c2nnnn2c2nnnn32)C1
911,851
{"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"}
272.297
0.6555
[ { "content": "What is the stereochemistry analysis for the compound represented by 'C1CCc2c(sc3c2c2nnnn2c2nnnn32)C1'?", "role": "user" }, { "content": "{\"chiral_centers\": 0, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 0, \"chiral_center_details\": [], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 1, \"potentially_meso\": false, \"stereochemistry_complexity\": \"None\"}", "role": "assistant" } ]
Stereochemistry_Analysis
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": "Provide information about Stereochemistry_Analysis for the molecule with SMILES '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" } ]
Molecular_Weight_Calculation
COc1cc(C=CC(=O)O)cc(Br)c1O
244,669
273.08
273.082
2.2611
[ { "content": "Determine the molecular weight (in g/mol) of the chemical with structure 'COc1cc(C=CC(=O)O)cc(Br)c1O'.", "role": "user" }, { "content": "273.08", "role": "assistant" } ]
Solubility_Prediction
c1ccc(-c2ccccc2N=P(c2ccccc2)(c2ccccc2)c2ccccc2)cc1
277,682
{"log_s": -6.88, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 429.50300000000004, "logp": 7.16, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 5}}
429.503
7.1628
[ { "content": "Provide information about Solubility_Prediction for the molecule with SMILES 'c1ccc(-c2ccccc2N=P(c2ccccc2)(c2ccccc2)c2ccccc2)cc1'.", "role": "user" }, { "content": "{\"log_s\": -6.88, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 429.50300000000004, \"logp\": 7.16, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 5}}", "role": "assistant" } ]
Molecule_Visualization
Cc1ccc(NC(=O)COC(=O)CCCN2C(=O)c3ccccc3C2=O)cc1
1,662,486
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</base64_image>
380.4
2.55312
[ { "content": "Provide information about Molecule_Visualization for the molecule with SMILES 'Cc1ccc(NC(=O)COC(=O)CCCN2C(=O)c3ccccc3C2=O)cc1'.", "role": "user" }, { "content": 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</base64_image>", "role": "assistant" } ]
Molecular_Weight_Calculation
Cc1c(C(=O)O)nnn1-c1ccc([N+](=O)[O-])cc1
1,990,461
248.20
248.198
1.18212
[ { "content": "What is the molar mass of the substance with SMILES 'Cc1c(C(=O)O)nnn1-c1ccc([N+](=O)[O-])cc1'?", "role": "user" }, { "content": "248.20", "role": "assistant" } ]
Solubility_Prediction
COC(=O)c1coc(CN(CCC(C)C)C(=O)Nc2cccc(Cl)c2Cl)n1
1,196,382
{"log_s": -4.67, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 414.28900000000004, "logp": 4.85, "oh_groups": 0, "nh_groups": 1, "cooh_groups": 0, "aromatic_rings": 2}}
414.289
4.8482
[ { "content": "Determine the solubility prediction of the chemical structure 'COC(=O)c1coc(CN(CCC(C)C)C(=O)Nc2cccc(Cl)c2Cl)n1'.", "role": "user" }, { "content": "{\"log_s\": -4.67, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 414.28900000000004, \"logp\": 4.85, \"oh_groups\": 0, \"nh_groups\": 1, \"cooh_groups\": 0, \"aromatic_rings\": 2}}", "role": "assistant" } ]
Drug_Likeness_Assessment
C1=C(c2ccccc2)C(c2ccc(OCCN3CCCC3)cc2)Oc2ccccc21
131,205
{"molecular_weight": 397.52, "logp": 5.84, "hydrogen_bond_donors": 0, "hydrogen_bond_acceptors": 3, "rotatable_bonds": 6, "topological_polar_surface_area": 21.7, "lipinski_violations": ["LogP>5"], "violation_count": 1, "drug_like": true, "assessment": "Drug-like"}
397.518
5.8355
[ { "content": "What is the drug likeness assessment for the compound represented by 'C1=C(c2ccccc2)C(c2ccc(OCCN3CCCC3)cc2)Oc2ccccc21'?", "role": "user" }, { "content": "{\"molecular_weight\": 397.52, \"logp\": 5.84, \"hydrogen_bond_donors\": 0, \"hydrogen_bond_acceptors\": 3, \"rotatable_bonds\": 6, \"topological_polar_surface_area\": 21.7, \"lipinski_violations\": [\"LogP>5\"], \"violation_count\": 1, \"drug_like\": true, \"assessment\": \"Drug-like\"}", "role": "assistant" } ]
IUPAC_Name_Generation
C1=C(c2ccccc2)C(c2ccc(OCCN3CCCC3)cc2)Oc2ccccc21
131,205
1-[2-[4-(3-phenyl-2H-chromen-2-yl)phenoxy]ethyl]pyrrolidine
397.518
5.8355
[ { "content": "Generate the IUPAC nomenclature for the chemical with structure 'C1=C(c2ccccc2)C(c2ccc(OCCN3CCCC3)cc2)Oc2ccccc21'.", "role": "user" }, { "content": "1-[2-[4-(3-phenyl-2H-chromen-2-yl)phenoxy]ethyl]pyrrolidine", "role": "assistant" } ]
Molecular_Weight_Calculation
Cc1c(C)c2cc(Cl)c(OC(=O)CCNC(=O)OCc3ccccc3)cc2oc1=O
1,978,414
429.86
429.856
4.28514
[ { "content": "What is the molar mass of the substance with SMILES 'Cc1c(C)c2cc(Cl)c(OC(=O)CCNC(=O)OCc3ccccc3)cc2oc1=O'?", "role": "user" }, { "content": "429.86", "role": "assistant" } ]
Molecule_Visualization
N#CC(C(N)=O)=C(S)S
23,762
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</base64_image>
160.223
0.06648
[ { "content": "What is the molecule visualization for the compound represented by 'N#CC(C(N)=O)=C(S)S'?", "role": "user" }, { "content": 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</base64_image>", "role": "assistant" } ]
Drug_Likeness_Assessment
FC(F)(F)S(F)(F)F
550,050
{"molecular_weight": 158.07, "logp": 2.96, "hydrogen_bond_donors": 0, "hydrogen_bond_acceptors": 0, "rotatable_bonds": 0, "topological_polar_surface_area": 0.0, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
158.066
2.9643
[ { "content": "Determine the drug likeness assessment of the chemical structure 'FC(F)(F)S(F)(F)F'.", "role": "user" }, { "content": "{\"molecular_weight\": 158.07, \"logp\": 2.96, \"hydrogen_bond_donors\": 0, \"hydrogen_bond_acceptors\": 0, \"rotatable_bonds\": 0, \"topological_polar_surface_area\": 0.0, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}", "role": "assistant" } ]
Molecular_Weight_Calculation
NNC(=O)C=C(CC(=O)NN)C(=O)NN
243,024
216.20
216.201
-3.7274
[ { "content": "Determine the molecular weight (in g/mol) of the chemical with structure 'NNC(=O)C=C(CC(=O)NN)C(=O)NN'.", "role": "user" }, { "content": "216.20", "role": "assistant" } ]
Synthetic_Accessibility
CC(C)c1ccc(NC2=C(Sc3ccccc3)C(=O)N(c3ccccc3Cl)C2=O)cc1
1,676,636
{'sa_score': 7.7, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
448.975
6.4526
[ { "content": "Determine the synthetic accessibility of the chemical structure 'CC(C)c1ccc(NC2=C(Sc3ccccc3)C(=O)N(c3ccccc3Cl)C2=O)cc1'.", "role": "user" }, { "content": "{'sa_score': 7.7, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}", "role": "assistant" } ]
Molecule_Visualization
CCOC(=O)CC(=O)c1ccc2c(Cl)nn(C)c2c1
1,214,803
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</base64_image>
280.711
2.3626
[ { "content": "What is the molecule visualization for the compound represented by 'CCOC(=O)CC(=O)c1ccc2c(Cl)nn(C)c2c1'?", "role": "user" }, { "content": 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</base64_image>", "role": "assistant" } ]
Synthetic_Accessibility
CC(=O)Nc1ccc2c(c1OC(C)=O)Cc1ccccc1-2
149,854
{'sa_score': 8.3, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
281.311
3.1415
[ { "content": "Determine the synthetic accessibility of the chemical structure 'CC(=O)Nc1ccc2c(c1OC(C)=O)Cc1ccccc1-2'.", "role": "user" }, { "content": "{'sa_score': 8.3, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}", "role": "assistant" } ]
Molecular_Weight_Calculation
O=C(NN=Cc1cccc(OC(=O)c2ccc3c(c2)OCO3)c1)c1cccc(Cl)c1
1,087,241
422.82
422.824
4.0518
[ { "content": "Calculate the exact molecular mass for the molecule represented by 'O=C(NN=Cc1cccc(OC(=O)c2ccc3c(c2)OCO3)c1)c1cccc(Cl)c1'.", "role": "user" }, { "content": "422.82", "role": "assistant" } ]
Synthetic_Accessibility
Nc1ccc(Cl)c(N)c1
21,209
{'sa_score': 9.25, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
142.589
1.5044
[ { "content": "Provide information about Synthetic_Accessibility for the molecule with SMILES 'Nc1ccc(Cl)c(N)c1'.", "role": "user" }, { "content": "{'sa_score': 9.25, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}", "role": "assistant" } ]
GHS_Pictogram_Identification
CCC(c1nnnn1Cc1ccc(F)cc1)N(Cc1ccccc1)Cc1cc2cc3c(cc2[nH]c1=O)OCCO3
1,464,882
["GHS08", "GHS09"]
540.599
4.6267
[ { "content": "Identify the GHS pictograms that apply to the compound with SMILES 'CCC(c1nnnn1Cc1ccc(F)cc1)N(Cc1ccccc1)Cc1cc2cc3c(cc2[nH]c1=O)OCCO3'.", "role": "user" }, { "content": "[\"GHS08\", \"GHS09\"]", "role": "assistant" } ]
Stereochemistry_Analysis
COc1cc(C=CC(=O)Oc2ccc3c(=O)c(Oc4cc(C)ccc4C)coc3c2)cc(OC)c1OC
1,672,892
{"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"}
502.519
5.84674
[ { "content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'COc1cc(C=CC(=O)Oc2ccc3c(=O)c(Oc4cc(C)ccc4C)coc3c2)cc(OC)c1OC'.", "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" } ]
Molecular_Weight_Calculation
CCc1ccc(S(=O)(=O)N(c2c(-c3ccccc3)nc3ccccn23)S(=O)(=O)c2ccc(CC)cc2)cc1
1,236,383
545.69
545.686
5.7103
[ { "content": "Calculate the exact molecular mass for the molecule represented by 'CCc1ccc(S(=O)(=O)N(c2c(-c3ccccc3)nc3ccccn23)S(=O)(=O)c2ccc(CC)cc2)cc1'.", "role": "user" }, { "content": "545.69", "role": "assistant" } ]
Molecular_Weight_Calculation
COc1ccc(CC(CC(=O)Nc2ccc(I)cc2)C(=O)O)cc1
1,075,183
439.25
439.249
3.5719
[ { "content": "What is the molecular weight of the compound with SMILES 'COc1ccc(CC(CC(=O)Nc2ccc(I)cc2)C(=O)O)cc1'?", "role": "user" }, { "content": "439.25", "role": "assistant" } ]
Molecular_Weight_Calculation
Cc1cc2oc(-c3ccccc3)c(OCC(=O)Nc3ccc(Oc4ccccc4)cc3)c(=O)c2cc1C
1,650,480
491.54
491.543
6.88664
[ { "content": "What is the molar mass of the substance with SMILES 'Cc1cc2oc(-c3ccccc3)c(OCC(=O)Nc3ccc(Oc4ccccc4)cc3)c(=O)c2cc1C'?", "role": "user" }, { "content": "491.54", "role": "assistant" } ]
Molecule_Visualization
O=C(c1ccccc1)c1ccc(C=Cc2cc([N+](=O)[O-])ccc2O)cc1
797,349
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</base64_image>
345.354
4.7018
[ { "content": "Determine the molecule visualization of the chemical structure 'O=C(c1ccccc1)c1ccc(C=Cc2cc([N+](=O)[O-])ccc2O)cc1'.", "role": "user" }, { "content": 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</base64_image>", "role": "assistant" } ]
Solubility_Prediction
CCOc1ccc(N=C2C(=O)N(CN3CCN(c4ccccc4)CC3)c3ccccc32)cc1
1,042,314
{"log_s": -5.17, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 440.54700000000014, "logp": 4.33, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 3}}
440.547
4.3324
[ { "content": "What is the solubility prediction for the compound represented by 'CCOc1ccc(N=C2C(=O)N(CN3CCN(c4ccccc4)CC3)c3ccccc32)cc1'?", "role": "user" }, { "content": "{\"log_s\": -5.17, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 440.54700000000014, \"logp\": 4.33, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 3}}", "role": "assistant" } ]
IUPAC_Name_Generation
N#CCCCCCC(=O)O
79,713
6-cyanohexanoic acid
141.17
1.54508
[ { "content": "Generate the IUPAC nomenclature for the chemical with structure 'N#CCCCCCC(=O)O'.", "role": "user" }, { "content": "6-cyanohexanoic acid", "role": "assistant" } ]
Functional_Group_Identification
O=C1Cc2cc([N+](=O)[O-])ccc2N1
230,366
{"amine": 1, "amide": 1, "nitro": 1, "phenyl": 1}
178.147
1.0894
[ { "content": "Determine the functional group identification of the chemical structure 'O=C1Cc2cc([N+](=O)[O-])ccc2N1'.", "role": "user" }, { "content": "{\"amine\": 1, \"amide\": 1, \"nitro\": 1, \"phenyl\": 1}", "role": "assistant" } ]
Molecule_Visualization
CCN(CC)CCOC(=O)c1cc2n(c1C(=O)O)CCc1cc(OC)c(OC)cc1-2
217,854
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</base64_image>
416.474
2.9252
[ { "content": "Provide information about Molecule_Visualization for the molecule with SMILES 'CCN(CC)CCOC(=O)c1cc2n(c1C(=O)O)CCc1cc(OC)c(OC)cc1-2'.", "role": "user" }, { "content": 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</base64_image>", "role": "assistant" } ]
Molecular_Weight_Calculation
CCOc1cc(C=O)cc(I)c1OCc1cccc(F)c1
1,339,844
400.19
400.187
4.2205
[ { "content": "Determine the molecular weight (in g/mol) of the chemical with structure 'CCOc1cc(C=O)cc(I)c1OCc1cccc(F)c1'.", "role": "user" }, { "content": "400.19", "role": "assistant" } ]
Molecular_Weight_Calculation
Cc1ccc(N(CC(O)CN2C(=O)NC(C)(C)C2=O)S(=O)(=O)c2ccc3ccccc3c2)cc1
1,389,476
481.57
481.574
3.03482
[ { "content": "Provide the molecular weight for 'Cc1ccc(N(CC(O)CN2C(=O)NC(C)(C)C2=O)S(=O)(=O)c2ccc3ccccc3c2)cc1'.", "role": "user" }, { "content": "481.57", "role": "assistant" } ]
Functional_Group_Identification
CCOC(=O)Cn1nnnc1C(C(C)C)N(Cc1ccccc1)Cc1cc2cc(C)ccc2[nH]c1=O
1,438,078
{"ester": 1, "ether": 1, "amine": 1, "phenyl": 2}
488.592
3.78562
[ { "content": "Provide information about Functional_Group_Identification for the molecule with SMILES 'CCOC(=O)Cn1nnnc1C(C(C)C)N(Cc1ccccc1)Cc1cc2cc(C)ccc2[nH]c1=O'.", "role": "user" }, { "content": "{\"ester\": 1, \"ether\": 1, \"amine\": 1, \"phenyl\": 2}", "role": "assistant" } ]
Drug_Likeness_Assessment
CCCCC=CC(O)CC
316,603
{"molecular_weight": 142.24, "logp": 2.5, "hydrogen_bond_donors": 1, "hydrogen_bond_acceptors": 1, "rotatable_bonds": 5, "topological_polar_surface_area": 20.23, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
142.242
2.5037
[ { "content": "Provide information about Drug_Likeness_Assessment for the molecule with SMILES 'CCCCC=CC(O)CC'.", "role": "user" }, { "content": "{\"molecular_weight\": 142.24, \"logp\": 2.5, \"hydrogen_bond_donors\": 1, \"hydrogen_bond_acceptors\": 1, \"rotatable_bonds\": 5, \"topological_polar_surface_area\": 20.23, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}", "role": "assistant" } ]
Functional_Group_Identification
CC(=O)Nc1cnc[nH]1
521,345
{"amide": 1}
125.131
0.3681
[ { "content": "Provide information about Functional_Group_Identification for the molecule with SMILES 'CC(=O)Nc1cnc[nH]1'.", "role": "user" }, { "content": "{\"amide\": 1}", "role": "assistant" } ]
Molecule_Visualization
CC(C)(O)C(N)=O
83,059
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</base64_image>
103.121
-0.7574
[ { "content": "What is the molecule visualization for the compound represented by 'CC(C)(O)C(N)=O'?", "role": "user" }, { "content": "<base64_image>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</base64_image>", "role": "assistant" } ]
Reactivity_Prediction
C[N+](C)(C)C=NCCCCCCN=C[N+](C)(C)C.[I-]
379,829
{"charges": {"C": [{"atom_idx": 0, "charge": 0.073}, {"atom_idx": 2, "charge": 0.073}, {"atom_idx": 3, "charge": 0.073}, {"atom_idx": 4, "charge": 0.184}, {"atom_idx": 8, "charge": -0.051}, {"atom_idx": 9, "charge": -0.051}, {"atom_idx": 13, "charge": 0.184}, {"atom_idx": 15, "charge": 0.073}, {"atom_idx": 16, "charge": 0.073}, {"atom_idx": 17, "charge": 0.073}], "N": [{"atom_idx": 1, "charge": -0.289}, {"atom_idx": 5, "charge": -0.241}, {"atom_idx": 12, "charge": -0.241}, {"atom_idx": 14, "charge": -0.289}], "I": [{"atom_idx": 18, "charge": -1.0}]}, "dipole": 3.83, "steric_hindrance": 1.05}
383.342
-0.9802
[ { "content": "Determine the reactivity prediction of the chemical structure 'C[N+](C)(C)C=NCCCCCCN=C[N+](C)(C)C.[I-]'.", "role": "user" }, { "content": "{\"charges\": {\"C\": [{\"atom_idx\": 0, \"charge\": 0.073}, {\"atom_idx\": 2, \"charge\": 0.073}, {\"atom_idx\": 3, \"charge\": 0.073}, {\"atom_idx\": 4, \"charge\": 0.184}, {\"atom_idx\": 8, \"charge\": -0.051}, {\"atom_idx\": 9, \"charge\": -0.051}, {\"atom_idx\": 13, \"charge\": 0.184}, {\"atom_idx\": 15, \"charge\": 0.073}, {\"atom_idx\": 16, \"charge\": 0.073}, {\"atom_idx\": 17, \"charge\": 0.073}], \"N\": [{\"atom_idx\": 1, \"charge\": -0.289}, {\"atom_idx\": 5, \"charge\": -0.241}, {\"atom_idx\": 12, \"charge\": -0.241}, {\"atom_idx\": 14, \"charge\": -0.289}], \"I\": [{\"atom_idx\": 18, \"charge\": -1.0}]}, \"dipole\": 3.83, \"steric_hindrance\": 1.05}", "role": "assistant" } ]
Molecular_Weight_Calculation
Cc1cccc(N(C(=O)c2csnn2)C(C(=O)NCc2ccccc2)c2ccncc2)c1
1,452,026
443.53
443.532
3.94602
[ { "content": "What is the molecular weight of the compound with SMILES 'Cc1cccc(N(C(=O)c2csnn2)C(C(=O)NCc2ccccc2)c2ccncc2)c1'?", "role": "user" }, { "content": "443.53", "role": "assistant" } ]
Synthetic_Accessibility
COc1cc(Br)c(Br)c(C=Nc2ccc3c(c2)OCCO3)c1O
1,513,713
{'sa_score': 8.25, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
443.091
4.4476
[ { "content": "Determine the synthetic accessibility of the chemical structure 'COc1cc(Br)c(Br)c(C=Nc2ccc3c(c2)OCCO3)c1O'.", "role": "user" }, { "content": "{'sa_score': 8.25, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}", "role": "assistant" } ]
Molecule_Visualization
CCOc1ccccc1N1C(=O)C(Cl)=C(Nc2ccc(S(=O)(=O)Nc3nccc(C)n3)cc2)C1=O
1,706,264
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</base64_image>
513.963
3.42022
[ { "content": "Determine the molecule visualization of the chemical structure 'CCOc1ccccc1N1C(=O)C(Cl)=C(Nc2ccc(S(=O)(=O)Nc3nccc(C)n3)cc2)C1=O'.", "role": "user" }, { "content": 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</base64_image>", "role": "assistant" } ]
IUPAC_Name_Generation
O=C1CSC(c2cccc(Cl)c2)N1c1ccc(-n2c(-c3ccccc3)nc3ccccc3c2=O)cc1
384,567
2-(3-chlorophenyl)-3-[4-(4-oxo-2-phenylquinazolin-3-yl)phenyl]-1,3-thiazolidin-4-one
510.018
6.4847
[ { "content": "Provide the systematic IUPAC name for the compound 'O=C1CSC(c2cccc(Cl)c2)N1c1ccc(-n2c(-c3ccccc3)nc3ccccc3c2=O)cc1'.", "role": "user" }, { "content": "2-(3-chlorophenyl)-3-[4-(4-oxo-2-phenylquinazolin-3-yl)phenyl]-1,3-thiazolidin-4-one", "role": "assistant" } ]
Reactivity_Prediction
CCc1cnc([N+](=O)[O-])[nH]1
88,922
{"charges": {"C": [{"atom_idx": 0, "charge": -0.058}, {"atom_idx": 2, "charge": 0.111}, {"atom_idx": 3, "charge": 0.141}, {"atom_idx": 5, "charge": 0.432}], "N": [{"atom_idx": 4, "charge": -0.074}, {"atom_idx": 9, "charge": -0.24}], "O": [{"atom_idx": 7, "charge": -0.39}, {"atom_idx": 8, "charge": -0.39}]}, "dipole": 1.41, "steric_hindrance": 3.0}
141.13
0.8803
[ { "content": "Determine the reactivity prediction of the chemical structure 'CCc1cnc([N+](=O)[O-])[nH]1'.", "role": "user" }, { "content": "{\"charges\": {\"C\": [{\"atom_idx\": 0, \"charge\": -0.058}, {\"atom_idx\": 2, \"charge\": 0.111}, {\"atom_idx\": 3, \"charge\": 0.141}, {\"atom_idx\": 5, \"charge\": 0.432}], \"N\": [{\"atom_idx\": 4, \"charge\": -0.074}, {\"atom_idx\": 9, \"charge\": -0.24}], \"O\": [{\"atom_idx\": 7, \"charge\": -0.39}, {\"atom_idx\": 8, \"charge\": -0.39}]}, \"dipole\": 1.41, \"steric_hindrance\": 3.0}", "role": "assistant" } ]
Molecule_Visualization
CCn1cc(C(=O)O)c(=O)c2cc(F)c(N3CCN(C(=O)Nc4cccc5ccccc45)CC3)cc21
1,959,194
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</base64_image>
488.519
4.366
[ { "content": "Provide information about Molecule_Visualization for the molecule with SMILES 'CCn1cc(C(=O)O)c(=O)c2cc(F)c(N3CCN(C(=O)Nc4cccc5ccccc45)CC3)cc21'.", "role": "user" }, { "content": 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</base64_image>", "role": "assistant" } ]
Molecule_Visualization
Cc1ccc(C(c2ccccc2)C(c2ccccc2)(c2ccccc2)c2ccccc2)c2ccccc12
410,320
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</base64_image>
474.647
9.31472
[ { "content": "Determine the molecule visualization of the chemical structure 'Cc1ccc(C(c2ccccc2)C(c2ccccc2)(c2ccccc2)c2ccccc2)c2ccccc12'.", "role": "user" }, { "content": 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</base64_image>", "role": "assistant" } ]
Functional_Group_Identification
Cc1ccc(C=CC(=O)Nc2ccc(Cl)c(Cl)c2)cc1
917,667
{"amide": 1, "halogen": 2, "phenyl": 2}
306.192
4.95372
[ { "content": "Provide information about Functional_Group_Identification for the molecule with SMILES 'Cc1ccc(C=CC(=O)Nc2ccc(Cl)c(Cl)c2)cc1'.", "role": "user" }, { "content": "{\"amide\": 1, \"halogen\": 2, \"phenyl\": 2}", "role": "assistant" } ]
Functional_Group_Identification
CCNC1=NCCS1
202,955
{"amine": 1, "sulfide": 2}
130.216
0.6987
[ { "content": "Provide information about Functional_Group_Identification for the molecule with SMILES 'CCNC1=NCCS1'.", "role": "user" }, { "content": "{\"amine\": 1, \"sulfide\": 2}", "role": "assistant" } ]
Reactivity_Prediction
CC(C)(O)C(N)=O
83,059
{"charges": {"C": [{"atom_idx": 1, "charge": 0.137}, {"atom_idx": 4, "charge": 0.248}], "O": [{"atom_idx": 3, "charge": -0.381}, {"atom_idx": 6, "charge": -0.272}], "N": [{"atom_idx": 5, "charge": -0.367}]}, "dipole": 1.03, "steric_hindrance": 2.86}
103.121
-0.7574
[ { "content": "Determine the reactivity prediction of the chemical structure 'CC(C)(O)C(N)=O'.", "role": "user" }, { "content": "{\"charges\": {\"C\": [{\"atom_idx\": 1, \"charge\": 0.137}, {\"atom_idx\": 4, \"charge\": 0.248}], \"O\": [{\"atom_idx\": 3, \"charge\": -0.381}, {\"atom_idx\": 6, \"charge\": -0.272}], \"N\": [{\"atom_idx\": 5, \"charge\": -0.367}]}, \"dipole\": 1.03, \"steric_hindrance\": 2.86}", "role": "assistant" } ]
Molecule_Visualization
Cc1ccc(N(C(=O)c2ccco2)C(C(=O)NC2CCCCC2)c2cccs2)cc1
1,441,874
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QYQtN6NoTXr18PCwsDgLFjx9bU1Jh8TUVFRUpKCr0ozM/Pb8uWLSqVqkerMpKbm5ucnEwntXVwcFi4cOGFCxfotzQazZYtW5ydnQEgOjqabdP9/fDDDwAwe/ZspgsxAUNovh4M4aVLl/h8PgBMnTrVsIlrb2+fMmWKUdh+//33adOm0WZn2LBh+/fv77nC9M6dO7dw4UI6ha2Li0tycnJBQcGDL7t48eLQoUMBwNXVdcuWLVqt1g61mePzzz8HgOTkZKYLMQFDaL6eCuHZs2e9vb0BYMGCBQqFwvBbBw8epGGLjIw8cuSI4bcyMjKioqLodydNmqRvkWxLq9Wmp6dPmDCBbsjT01MgENy+fbuLt7S2tgoEAvr6mTNnsuEQ8dy5czExMR4eHqNGjWpubma6HGMSCdm7974lBQXk2DGGqmG3HgnhsWPH6MHVU089pZ/J2ZBR2DIzM/XfomM29OyzzcdslEqlWCymx6gA4O/vLxQKGxoazHz7t99+279/fwDw8fH53//+Z6uqLKLVag8dOqT/BPHw8ACAwYMH99AHltXu3CEzZxKx+N6SPXvI228zVxCL2T6EX375JT2Ievnll7vouXUdNpuP2TQ1NYlEouBg+sAKiIiIEIlERk20OaqqqubOnUtX8txzzzU3269rqlKpxGLxiBEj6Nb5fL5QKLxw4cLYsWPpKG5qaqqdD6e7UFREAIivL6mq6ljyf/9HkpIYrYmtbBzCjz76iA6xpKammvP6rsNmkzEbiUQiFAp9fHzovhsbGysWi9vb2y1dj55Op0tLS3N3d5869aWBA8nZs1avyVzNzc0ikSg0NJT+CIMGDRKJRK2trfS7Go1GKBTSUynjx4+/ceNGjxdkBhrClSvJihUdSzCEnbFlCLds2UKbtffee8+iN3YdNsMxm+HDh5s/ZlNUVCQQCPQThiUmJqanp1tUWBcKCq4nJMgBiKMjefNNYqrTbQM1NTVCodDX15f+CKNHjxaLxRqN5sFXXrhwYfDgwQDA4/FEIpFOp+uRgsxGQ1heTry9Ow4FMYSdsU0IdTrdX//6V9op2rVrl3Ur6TpsFo3ZZGdnJycn08aBnnXIysqyrqouaDREKCSOjgSAjBtHbNsCFRbqXnzxJS6XS3/kGTNmnDhxouu3NDU1paSk0NfPmTOnSt8RZAINoVJJPviADB5MFAoMYadsEML29vYXXniB9icPHDjQzbV1ETZzxmzoWQf6di6Xm5ycfPPmzW6W1LVffyWDBxMAwuMRkYh0vwXKzSXJycTRkcTHL6GfIL/++qv5bz9w4AB9HA6fzzcafLYbne5eCDUaMmoUefttDGGnuhtClUq1bNkyAHB3dz958qRNarJizEatVovF4ujoaBo/Ly8vgUBgt6agqYmkpBAAAkBmzyZ37li5nhMnyIwZHevhcsnrr9+07hNEIpHMmzeP/iqSk5NbWlqsLMhyly+T5GSycuW9EBJCzp0j7u5k9WoMoWndCqFcLp89ezYA+Pr62nyIvOsxm9LS0ieffJKeZ+/Xr5/+AuuwsLB///vf9tzt9A4eJH5+BIDw+eTwYQveqNWS9HQyYUJH/Dw9iUBAunkmko4e0Sd0hIeHnz9/vlurM8OpU2TOnI4fgccj2dn3QkgIWb2aODuTpCRSU0MWLybsuFKYLawPYUNDw6RJkwAgMDCw567neuiYTWJiIo/H4/F4Q4YMEYlEbW1tPVSJOSQSMn9+x46YnExaWkhxMTG8CKe9nWRn39s1lUoiFpNhwzre4u9PhEJi9mnLh7t69WpsbCwAODk5paammjxn2030E2TixI4fwcODCASkouK+lpAQUldH/PxIUhJ5/nkCQLy8yJ49Nq/Fet99993333/P1NatDGFVVdXo0aPpp2xRUZFta3pQF2M2p0+fBoCYmBjGxwMpnY58+CFxdSUA5PnnSVIScXQkOTkd321uJgCkqIg0NRGRiAQFdey7gwcTkYhYftry4ZRKZWpqKv0Ui4+PLywstNWaVSoiFpPIyI4fgc8nQiGpr+/4bmsrycgghueJr14lly8TmYw880zHW5YuJbW1tirHGjqdLj09PTAwkO5aY8eO1Z/4sSdrQlhSUkJHw0eOHGnPC7gOHTpEr+EcOnSo/kP9/fffpxcG2K0Mc+Tnk2nTyO3bJCmJhIaSCRM6dkcawuxs4uXVsSPGx5NDh0hPX4566tQpeprRzc1NJBJ1c23NzUQkIiEhHT9CeDgRiYhFe+/+/cTXlwCQgABmrmVTqVR79uwZOXIkjR89rgGA6OjovLw8OxdjcQivXr1KrzsZP358XV1dT9TUBbVavW3btmMGf7dnnnkGAD799FM7V2KmpCTy5ptk6FDy0UeEGLSES5aQxERiu9OWDyeTyVauXEl3tSVLltRa1QZVVVX97W/1+k+QMWPI118T6y58KCsj06YRAMLhkJQUyzLcHS0tLSKRiN7cQw+m3nrrraqqqsOHD9NbSZ2dnYVCYXcu57CUZSE8d+4cHf6eMWMGSy4appdxXbp0ielCTEtKIm+/TY4dIz4+RCK5F0KmLi/bv38/PfUfEBBw9OhR899YXFxM77dMSNgB0PEJ0s0jAJ2OiETExYUAkBEjSE//DaVSqVAo1D+FIDo6WiwWGx4nKxQKgUBAW8WEhITi4uKeLeguC0K4detWWt/y5ctZco2iXC53dHR0cXFh4R23FA0hIeSxx8jTT98LIYPKy8unT59O+2ApKSlyubzr1//2229Lly6lR5UODg5PPrkyO9uWh99XrpDRowkAcXYmQqGV7WrXSktLBQIBHSvWXzvV2SDCyZMnaV/Py8srLS3N9tU8wNwQ1tfX08uyIyMjTV42xYjz58/T42mmC+mUPoSlpcTNjRw/znwICSE6nU4kEtHLcSIjIzvrRxhe+UDvt7x+/XpP1KNQkHXrCIdDAMjMmcqysvKHv8c8eXl5+ju2ORzOwoULDW/Z6YxUKl28eDH9wZcvX16vH27qGRa0hPRc3NKlS/VLysrKun+U3x3bt28HgDVr1jBYQ9f0ISSE/OMfJCqKFSGk8vPz6RC3k5OT4VEQvd9y/PjxdC+k91vaYQTuxx9JSAiZNu0vNmmCDO/YdnZ2Tk5OvnbtmkVrEIvF9E6xsLCw06dPd7OeLlgQwn379tEz4/RUuEqlojfOX7x4scfKe4jnnnsOAD6igx6sZBhClapjQJ8lISSEtLW1paam0j11xIgRGRkZn3/++ZAhQ2j8AgIChEJhY2Oj3eqprdUuXZpEt75ixQrzb/XUo58gEydOpCvx8PAQCAQVFRXW1VNaWjp58mTaigoEgh466rFsYIY++Gjbtm30y02bNtGhth4ozCwxMTEAYNGllXb22mvEcOD21CkSF0es3SV6SkhIiNFIvZOT02effcbUkb9YLPb09KRDl8ePHzfzXfR+S/3D8uj9lt3vSRo+ZygqKio3N7ebK3yQZSE8cuQIbZ3pmFJNTQ2Px+NwOJY29DahVCqdnZ0dHR0ZOcFqkatXSWEhYc2htDH6IJKgoCAAoKcThw8fzmxJpaWlU6ZMMbMJovdb6j9KwsPDDe+3tInffvtt2LBh0DPPGbIshDqdjt7isG/fPrrkxRdfBIAXXnjBhjWZKSsriw4023/Tlho1igAQu58ENktbWxsdd9HpdAUFBWfOnAGAqVOnMl0XaW9v37Jli4uLSxdNUHV1teEd2zExMZ3db9l9hicwHn300a4fSmQRi0/W79mzBwBGjRpFR3iLi4sdHR25XO4dq+8dsNbOnTsBYNWqVXberhX8/QkAkUiYrsOU8vJy2gDSL7/55hsAWLZsGbNV6WVlZZlsgm7duvXgHdt2uHTxhx9+oF0Gb2/vL774wibrtDiEarV6wIABAKC/4HX58uUA8Nprr9mkIPO1rl9/ITo6j63Xyui1txNHR+LgwNLuKO1QxMXF0S/pgPO6deuYrcqQURN0/Phxozu27Tw0WFNTs2jRIv0JDCtGj4xYc+3oBx98YNhjyc3N5XA4np6e9hxGI4SQceMIAPnlF7tu1HLV1R3XN7PTsWPHAGDevHn0yzfffBMA3mbfc9HS09PpLab09Karq+tLL71069YtpuoRi8Xu7u4AMHDgwJ9//rk7q7ImhHK5nF68pj/v+eijjwLAu+++251SLKNWE1dXwuGQpib7bdQqly8TAMLaQ9fPPvsMAFavXk2/XLt2LQD897//ZbYqk6qrq/l8vpOT05o1a6qrq5kuhxQXFyckJOhHj6weTLZmViZ3d/eXXnoJAN577z26JDU1FQDo7XxWrNAa166BUgnDhoGXl522aC2pFACAfdN4duhF8zEGBAQ4Ozu3t7cLhUI2VBgREXH27FmhUOjg4LB9+/Zx48ZduXLFivVYOTUavZb3yJEjBQUFADBr1qy4uLiamhp6Qt8ecnIAAMaOtdPmuqGmBgCABfuMaUZTEbM5hISQ2tpaDodDrxJhAycnp82bN2dmZg4ZMiQ/Pz8+Pn7r1q06nc6ilVgZQn9/f9qBoceHAPDaa68BwNatW+ncmj0uNxcAYMwYe2yre1geQqPUsXl68IaGBo1G4+Pjo38IHUvEx8fn5OSkpKQolco33ngjNDQ0Ly/P/LdbP0noa6+95uTktG/fvtu3bwPAsmXLhg4dWlJS8t1331m9Tgv0npawd3VH2Tz/NptbaU9Pz7S0tIMHD3K5XIlEMm3aNPNbI+tDGB4enpSUpNFo6KC2o6PjX/7yFwDYunWr1es0l1YLly8Dh4MtYfcZNn1yuby1tdXNzY1euMw2bG6lqaSkJNoItbS00JMo5ujWdNmbNm3icDhpaWkymQwAnnvuuaCgoOzsbPrclx508ya0tsKgQcDKaaKN0BCyds8xbF7Y3NQA68uj6L2IdOIgM3UrhDExMTNnzmxpaaEXr3C53D/96U9gh8aw9/RF4W53lKV7jlZbHBgomTixv58fAHAbGrYnJKyNi2O6LNN6RQibmpoAQD/zlzm6FUJ44OTEunXrvL29f/zxRzqTc0+hK+8NfVEAcHVt9ffX+fsTpgsxpbbWMz8/sKTE0ckJAELv3Fl/4cImtZrpskxjf3cUrCqyuyF89NFH4+PjpVLp3r17AcDb23vNmjVgcAqxR9AQsvUD2xAhJDvbTyp1DAhQMV2LKUajRuw+fu0VLaEVRXY3hABAp4L517/+RYeD/vznP9NJKW7dutX9lZtG95Xe0BLKZDKVSuXt7a2/1JhdjFLH7hBiS9ippUuX0pMT3377LQCEhIQ888wzWq323//+d/dXbtr16yCRsHZfMcT2/cYodew+nYItYaccHR1pY/jPf/6TEAIA9JHPu3fvrq6u7v767zl6FKZOhf79ITAQXnkF8vNtufKewfb9xmjolt0tIdt/mQDAVAgBYPXq1UFBQXl5efTkxPDhwxctWqRUKj/66CObrB8A4Kuv4MknYdky+P13+OknCAiAxES4ft1m6+8ZbN9vjIZu2d0Ssr1bAQBMdUcBgMvlrl+/HgxOTrz++usAsHPnTpXKRgMSb7wBmzaBQADh4RAdDTt3Qnw8/P3vtll5j6EhZO9+03uOCeVyuUKhYO2FBHqMtYRw9+RERkbGpUuXACAhIeGf//znuXPnbHOZX00NVFTAsmX3LVyxAn7/3QYr70lsvgoMoDeNjrK9T3GXFXU62WrbXl5ea9euff/99997772vv/4aAOiz2CzW1gZlZVBeDhUVUF4O5eUQFQUzZwIABAff98rgYCgr63bhPYvtu45h6lQqaGoCZ2fw9WW2KJPY/psEAIC2tja5XO7q6uplyR12NgshAGzcuHH79u0HDx68deuW/tmVnZHJZA63b3uVlUFp6X2Ro5/Nhh55BJ5+GgCgvv6+uwfr6+Hug81Zi+2HMYYhlEqBEPD3h7sPPmQVtnfsAcDaIm0ZwpCQkJUrV+7evfv111+npysAoLGxsaSkpKqqSiKRlBhobGw8NX36jJ9/Nl4LlwsDBsDAgTBwIAwYAIMGwYgREBoKHh6QmTrwUa0AABCASURBVAnh4fdeef483H1KNGux+vObEKitBQCgt+f1hlEZlv4m77Luz23LEALAunXrdu/e/d133yUkJDQ2NpaVlSmVSpOv9PDwuNO/PyxYcC9vAwfCoEEQGGj6k3jdOnjrLZgwAYYNAwA4fhzEYrDPbVPdwOoQNjaCWg3e3kAvJGDxASGw/Dd5FytCOHbs2KFDhxYVFf366690ia+vb1BQUHBwcISBoKCgoKAgjkXdnnfegeZmiImB4cNBLoe6Oti2DebNs239Nsfq7mhTE/j6gv56f3aHkNW/ybuY745SR44c2bt377hx4yIjIwcNGkSfSGUDLi7w8cfwt79BQQG4uMDo0cDj2WbNPUMqle7YsYMQ4uLicvXqVfpEIHYJD4eGBtDfezp1Knz+OQwYwGhNneoVLaF1fWbbh3DEiBHvvvuuzVfbwc8PpkzpqZXbSFFR0fvvvy8Wi/XnSKdOnbpp06a33nqLTmnAImfOwGefQUUFeHnB7Nnw4ovAsidH6PWKEFrXEtrsPCECgLy8vFWrVo0cOfKTTz7RaDQLFy48f/68UCgEgL///e8JCQk3b95kukYDn3wC8+dDRARs2gRLlsCOHTB3LrS3M12Wab2iO2rl6JHNHsLYtz04n2ZBQYH+uxcuXBg8eDAA8Hg8kUhkh6e1P1xjI3F3J7t331silRIvL7JrF3M1dYVOONHT83V2E50C+dSpUxa9C0PYLXQ2vAkTJtD4dTGfZlNTU0pKCn3ZnDlz7D91h7GMDMLlGj+af/VqYjAJLHsolUoOh+Ps7MyKz6/OjRgxAgCuXr1q0bswhFZSKpVisZjOVQIA/v7+QqHQcFoCnU534sSJ2tpaw3cdOHCAPrycz+cfPnzY7lUb+OQTEhFhvHDzZjJhAhPVPERFRQUAhISEMF3IQ9A/rlQqtehdGEKLNTU1iUSi4LvX0EVERIhEIoVCoX+B4XTTQqHQ6O0SiWT+/Pn0vcnJyXTaYwb8738kIMB44WuvkbuTUrBKdnY2AIwZM4bpQrqi0WgcHBwcHR0tnb0QQ2gBiUQiFArplJp0nxCLxfqp3gkhra2t//nPf8LvXtYTHBxsclIHnU6Xlpbm5uYGAOHh4efPn7fjD3HX778TDocY9YpnziQbNjBQzMN8//33ADB37lymC+nKnTt3ACAwMNDSN2IIzVJUVPTgbHiGL6DNI525DgAGDx5s1Dw+6Nq1a2PGjAEAJyen1NRUOvmx/eh0JDqarFx577Dw6FHi6EguXbJrGebZtWsXADz77LNMF9IV+nCzmJgYS9+IIXyI7Oxso9nwsrKyDF/w0OaxC2q1mk4nAgATJkwoLCzsmR+iEwUFJCKCREaS1avJrFmExyMff2zXAsw2b948AEhISGC6kK6cOHECAGbNmmXpGzGEpul0uoyMDP1ZBy6Xm5ycfPPmTcPXFBYWCgQC/Q2TDzaPZjp16lRYWBgAuLm5iUQiG/0E5lEqyfffk//8h+zbR6qq7LppSyxZsoR2GX788Uema+mUWCwGgJUrV1r6RgyhMbVaLRaLo6KiaLS8vLwEAkHV/TsoPStIr3012TxaSiaTrVy5km5x3rx5EnbOrM2crKws+mHH5XLpc/2YrsiEf/3rXwDw17/+1dI3YgjvqampeffddwfcvXgyMDBQKBTKZDL9C3Q6XXp6emJiomHzaMM+5P79+/v160dPeBw9etRWq/1jaGhoWLNmDf3gS0hIKC4uZroiY6+++ioAbN261dI3Ygg7bN68WX9XR1RUlFgsNhwpMWoevb29H2webaK8vJxedcHhcFJSUuRyuc030audPHmSnhzy8vJKS0tjupz7LF26FAA+++wzS9+IIexA7/bw8fHZv3+/YW+npaVFJBLRYzYAGDhw4JYtWwybR5vT6XQikYj2viIjI7Ozs3tuW72RVCpdvHgx/XMsX76cJReyaTQaT09PAHjnnXcsfS+GsAMdoqypqdEvkUqlQqGw392Jn0aNGmXUPPao/Pz8mJgYOhohFArNHG7tO8RiMX3sWlhY2OnTpxmshPaS9BdtHzt2zNI1YAgJIaS5uRkA3N3d9Us++OAD3t37FadOnXrs2DH7X7XY1tZGH6MMABMnTiwqKrJzASxXWlo6efJk2nUXCARKpdLOBTQ3N3/wwQehoaF0P3F2dn7xxRdVKpWl68EQEkJIUVERvQBNv+TgwYMcDmfhwoWZmZkMFkYIycjICAkJAQBPT8+UlBRmi2EbjUazZcsWepdmVFRUbm6ufbZrspdkRfwoDCEhhGRmZtLWRr9Eq9XeuHGDwZIM1dXVJSUl0b+3FeeC//CysrLolfSurq5btmzp0RMYJSUlAoHA7e5j/ujJ4W72kjCEhBBCnw33+OOPM11IV+hoBI/HY7oQNlIoFAKBgI5vP/roo7dv37b5JvLy8pKTk52cnGgH2Ia9JAwhIYTQmYZZ3tk7ePAgAPTv35/pQtjrhx9+oJfvent7f/HFF7ZareG1GfSO7WvXrtlq5YQQfLwFAFsfnSCTydavX//hhx/SL+ln8KRJkxgtitXmzp2bl5f32GOPNTU1rVy58oknnmhsbLR6bTqd7ujRoxMnTpwyZcqxY8fc3d0FAsGtW7f27t07cuRIG5aNLSEhhLzyyisAQB+Oxh5XrlwBgKioKPplWloaAKxZs4bZqnoFsVhMT/wOHDjw559/tvTtKpVKLBZHRkbSjPD5fKFQ2HMnJLElBGDrk7yMquoVz4FniVWrVl25ciUhIaG8vPyRRx7ZsGGDWq02540tLS3btm2LiIh49tlnb9y4ER4eLhKJysvLN2/erB8LtTkMIQBbu6NGIewVz4Fnj4iIiLNnz9I7xbZv3z5u3Djas+hMTU3N5s2bBwwYsHHjxjt37sTExIjF4sLCwg0bNvB6+Am3GEIAtraERh8N7CySzZycnDZv3pyZmTlkyJD8/Pz4+PitW7fqdDqjlxUXF2/YsGHQoEFvv/22TCajZx1yc3NXrVpFj8N7GoYQgK37t8mWkG3NNfvFx8fn5OSkpKQolco33nhj7ty5VVVV9Fs5OTmrVq0aPnz49u3b1Wr1woULL168eP78+UWLFlk2R0P32CPoLKdSqZqbm52dnemTLdkDW0Jb8fT0TEtLmzNnzosvvpiRkTF06NCEhISKiorCwkIAcHV1Xbt27auvvkqfDWt/2BJ2PKDO39/fnh9+5jA5MIMhtNrSpUuvXr2amJioUCh++umnwsJC+pzY4uLinTt3MpVAwJYQWLxzGxam0WhkMpmTk5MvK6fR7S0CAgJ++eWXZ5555pdffomLi9u1axcbuvcYQraHkO4ltLnm8/n0pgpkNQcHh6+++orpKu6Df1H2nn+rra2Fu4Wx9pMCdR+GkKXn32QymUql8vLyoiepMIR/YBhClu7feH6i78AQsnT/Nuoks/OTAtkEhpCl+7dRJ5mdnxTIJjCELA0hniTsOzCELB0dxctl+o6+HkKtVtvQ0ODg4NC/f3+ma7kPDsz0HX09hHV1dVqt1s/Pzz7Xy5sPu6N9R18PIWt3bsOmT6fT1dXVcTgcPp/PdF3I9jCELA2hYWH19fXt7e39+vWjD9hEfzB9PYQPHmspFAqNRsNcRR0MQ4gHhH9sfT2ED7aE69evj4uLy8/PZ64oaGtrk8vlrq6uXl5ewOLmGtlEXw/hjz/+CABNTU30S5lMdubMmfz8/IkTJ3788ceEEEaqwstl+pS+HsLq6moAyMjIUCgUAODj43P58uWUlBSFQrFu3bo5c+boH4VgT/ictT6lr4fwqaeeAoDKysqpU6fShx3QRyEcOnTIz88vIyMjNjb28OHDdq4Kn7PWp/T1EKampu7cuTMsLOzSpUuxsbHbtm2jXdClS5deu3ZtwYIFtbW1S5YsWbVqlVwut1tVoaGhr7zyypw5c+iX2B39g+uhhwr3Lk1NTSkpKfQXMmfOnDt37tDlOp0uLS2NTsEzaNCgc+fOMVLewoULAeDIkSOMbB31NAzhPQcOHPDz8wMAPp9/+PBh/fKCgoKxY8cCgJOTU2pqqt0m69Xz9vYGgG+++cbO20X2gSG8j0QimT9/Pm0Sk5OTW1pa6HK1Wi0UCh0dHQFg/PjxN2/etE89xcXFU6ZMofWcP3/ePhtFdoYhNGbYBQ0PDzfc9TMzMyMiIgCAx+OJRKIenUA7Kytr2bJl+sc6TZo0qa2trec2hxiEITTt2rVrY8aMebALanj0SJ/lbPNN09nw6CbobHgnT560+VYQe2AIO0W7oLQtmjBhQmFhof5b+/fvp3P0+Pv7p6en22RzWq02PT19/PjxNH70ubSVlZU2WTliMwzhQ5w6dSosLEzfBdUvr6ioeOSRR/RHj3K53OpNKJVKsVhMZ12nwRYKhQ0NDbYoH/UCGMKHk8lkycnJNCHz5s2TSCR0uU6nE4lEXC4XACIiIqyYwbypqUkkEtEZngFg8ODBIpFIoVDY+idArIYhNFdnXdCrV6/GxsbSo0ehUNje3m7O2iQSiVAopOceAGDMmDFisdjM96I/GAyhBcrLy6dPnw4AHA4nJSVF3wVta2vbuHEjnU8mMTFRf67fpKKiIoFA4OrqSuNHZ8OzS/mIpTCEljHsgkZGRmZnZ+u/9dNPP4WGhoaHhzc1NZl877lz55YvX05HehwcHBYuXJiVlWWvwhF7YQitkZ+fHxMT82AXtL6+Pj8/3+jFOp0uPT09MTGRNn1cLjc5OdlwrBX1cRhCK7W1taWmptJmbeLEiUVFRQ++Rq1Wi8XiqKgoGj8vLy+BQNATpxZRr4Yh7JaMjIyQkBAasLS0NP3ylpYWkUhEz20AQGBgoFAolMlkDJaKWAtD2F2NjY1PP/00DVtSUtLNmzeFQiEdRwWA6OhosVhs/2u+US/CIQw9weEPRiwWCwSC5uZmHo/X1tYGAFOmTElNTZ0/fz7bZuFGbIMhtJnS0tLExESlUjlixIj33nsvISGB6YpQ74AhtKW4uLicnJzff/993LhxTNeCeo2+/ngL28LnUCArYEtoM4QQV1dXtVrd1tamvyAGoYfCltBmGhsb1Wq1j48PJhBZBENoM/iwemQdDKHN4AEhsg6G0GYwhMg6GEKbwe4osg6G0GawJUTWwRDaDE7bgqyDIbQZnLYFWQdDaDPYHUXWwRDaDHZHkXUwhDaD3VFkHbx21DZaW1s9PDx4PB6d8Rch82FLaBt4QIishiG0DQwhshqG0DbwchlkNQyhbWBLiKyGIbQNDCGyGobQNrA7iqyGIbQNbAmR1TCEtoEtIbIahtA2sCVEVsMQ2gaGEFkNL1uzAY1Gw+VyHR0dVSoVnacJIfPhHmMDUqmUEMLn8zGByAq409gA9kVRd2AIbQBDiLoDQ2gDeH4CdQeG0Ab69+8/ffr02NhYpgtBvRKOjiLEMGwJEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhmEIEWIYhhAhhv1/rI+koi4HIp0AAAIvelRYdHJka2l0UEtMIHJka2l0IDIwMjUuMDMuMwAAeJx7v2/tPQYgEABiJgYIkANiRSBuYGRjSADSjMxsDhpAmpmFzSEDRDMzIjEgMuwMYJqZDUKzcEBoJnw6oQwOB6hSsGVACTQj2BnACpkYEQpANBMTQZqw3QIwuzFkuBkYGRiZMpiYmBOYWTKYWFgVWNkU2Ng1mNg4FDg4M5g4uRK4uDOYuHkSWHkZePkY+Pg1mPgEFAQEGQSFGISEGYRFGEREGUTFGHjFGcQlMpgkJBMkpTKYpKQTWGQSZGQzmGQZE3g4EsQEGaTFE5xYgJayMcrKsDAzsXJy8HBzsQkJi4iKCbJKiEtLSYoXMQJjgQEWPRaBl/ffsNxwAMS5H3No/83MBjB76UH9A25rPMHsSnf1A/0SV/aD2LolC/ZnqTeD2Vfr+/f7JX2wA7EVgsUO5KSvsgexv9zgPbDlsokDiN2UkHug740RWHzLkgUHTPZuA7NtTx4+kHrlPFjvl571B8K8S8BmLj9bf2Dhe1cwu+56id0Ozl6w+uiDu+0ZrpeC1TOfXWUv27oArEbgnYkDV0Q8WM3iA40O7tP0bEDsEPe1DovnqIDF30+44mDOkrAPxL4ZfMGhxeE2WK/G2SUOVyTEwH6UZK92uPhoL1hcyXaf3W0VNbD7f6U67e8yTQWzr53R35dyZB6YneS20t63fRaY/cH+ir1CXTiYnVdweY9T2UewOVcElPYpREeAzRcDAKRnl4VGHWqWAAACtnpUWHRNT0wgcmRraXQgMjAyNS4wMy4zAAB4nH1VUW4dMQj8f6fwBWIxgDH+bPKiqqryIjVp79D/3l8Fb5N1FKu7MVrvzgMDM+RS8vpx/f77T3m/+Hq5lEL/+RtjlF9CRJenkg/l/vHrt1t5eP1y//bm4fnn7fWlxJNI/Cbuj9gvr89Pb29QHsodqjUasHLXaqNOhkKV5nX+lg9kg2sb5U4rgQfvkJJIrl0NQ8udVDRAaYPUA2mQLv04h2WCn5HtiM5NmrZ8Ilbb+rRyy+9gkKcntdFoB+xHcFF31oIqAvZdPl6eE8gwsV64OjfdJj7So9ROg9Diuw0fzBsgKJEtkiBQi9jK3XSXN2aDrAIu06dSG+g7JB8+1dto0UqqI47Z2w4qmZHUMWxwT2jvAvcdNFtElWWAJA4KQvjfAbNDkYiZSzpiJepbjxbBs9oqUe3ZUyXbVqlHK7PcnSQb6J1Vtql7xA5CNu028wUFkXbA7FCUCDpaOjKVo1OfyJ4NsvjOUaEsEMO77VwyJrKBWCYxe8iCtkiewRFsVDmY19i20VNB0R5mIU+f6sFS3SGP9khHs9jVaP1ePzwFFI1uQ2yE8+aQITukHUh0mIdE6zBo3yL7bLlwSDGBHoljm7mXl5Li9uB7xA4Z0d7jOGITx/EoM3e3vdaE/h0znIYqg83i1LY8erxdP8y8YwreP9+u5xTMm89Rp7HknGea6xxaebdzMiGWneMHsfo5ZDiWn6MEsR3nwNBYWOeCpgEW/Wsa8KJzTQNZ5JwxoYtoMU1b1MlpYIsMMd/0RW6YxhddYZqxCAhpeFUK0jAWRSAN88L83AavF4bPE7IuTM5tEHWhbG6DkAs1NQ33hYKahn3hWjQnmLRwStPISh1N834+mUWWsy8yDyxLKSRJEL7PAyerVg7l/u2/cDxf/gL6qnQ5LiQwqAAAAWZ6VFh0U01JTEVTIHJka2l0IDIwMjUuMDMuMwAAeJwlUTmSHDEM+4rDmSqNivdRXY46Xz+iH+DA6T7eoLYTtSACBMH74ed5Xl+v+/X7z/sRXP7K+/65ft1yzyc/D/9wPvzr+/XhHU4t6+PbKSnWBci5LNbHNrHg7frITgvu9dHNzmwHCta0dRTy0MTVfQASCzsQC1Mv2hbth6RWJYu3KksdRDg0l+wSt+mlO6lJQIquloEcisQMmknGCMVmLp0iI2/OU2TlDdu0G0rpR6s7WgfLVC50pC3aTAoxJi4MDNWIMmiJEWUNompa68xkE8rYS5BoV4rB74Vw3DKBEFO497rggA0O4NyUGAYCfxI9/YUrIwZyRj6jnUiXh8ZOBGTScYE2bIsoT40VEhvXmuyBmGbEa+bxVijr9mLtA3Fy1LLdwZZnCsEiAJRMoNdsCuHr1kjKQyEBnY6bqjj5QwdVkbNsLULT9/d/fr57POMNlFoAAAAASUVORK5CYII=</base64_image>
422.55
5.48652
[ { "content": "Provide information about Molecule_Visualization for the molecule with SMILES 'Cc1ccc(N(C(=O)c2ccco2)C(C(=O)NC2CCCCC2)c2cccs2)cc1'.", "role": "user" }, { "content": 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</base64_image>", "role": "assistant" } ]
Molecular_Weight_Calculation
O=C(NCCCCC(NC(=O)OCc1ccccc1)C(=O)ON1C(=O)CCC1=O)OCc1ccccc1
317,594
511.53
511.531
2.9853
[ { "content": "What is the molar mass of the substance with SMILES 'O=C(NCCCCC(NC(=O)OCc1ccccc1)C(=O)ON1C(=O)CCC1=O)OCc1ccccc1'?", "role": "user" }, { "content": "511.53", "role": "assistant" } ]
Stereochemistry_Analysis
O=C1CCC2C(=O)N(CC(=O)N3CCCC3)C(=O)C2C1
1,910,055
{"chiral_centers": 2, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 2, "chiral_center_details": [{"atom_index": 4, "configuration": "?"}, {"atom_index": 18, "configuration": "?"}], "stereogenic_double_bonds": 0, "max_stereoisomers": 4, "potentially_meso": true, "stereochemistry_complexity": "Medium"}
278.308
-0.037
[ { "content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'O=C1CCC2C(=O)N(CC(=O)N3CCCC3)C(=O)C2C1'.", "role": "user" }, { "content": "{\"chiral_centers\": 2, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 2, \"chiral_center_details\": [{\"atom_index\": 4, \"configuration\": \"?\"}, {\"atom_index\": 18, \"configuration\": \"?\"}], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 4, \"potentially_meso\": true, \"stereochemistry_complexity\": \"Medium\"}", "role": "assistant" } ]
Solubility_Prediction
N#CC(C(N)=O)=C(S)S
23,762
{"log_s": 0.66, "solubility_mg_ml": 0.74, "solubility_category": "Slightly soluble", "contributing_factors": {"molecular_weight": 160.22299999999998, "logp": 0.07, "oh_groups": 0, "nh_groups": 1, "cooh_groups": 0, "aromatic_rings": 0}}
160.223
0.06648
[ { "content": "What is the solubility prediction for the compound represented by 'N#CC(C(N)=O)=C(S)S'?", "role": "user" }, { "content": "{\"log_s\": 0.66, \"solubility_mg_ml\": 0.74, \"solubility_category\": \"Slightly soluble\", \"contributing_factors\": {\"molecular_weight\": 160.22299999999998, \"logp\": 0.07, \"oh_groups\": 0, \"nh_groups\": 1, \"cooh_groups\": 0, \"aromatic_rings\": 0}}", "role": "assistant" } ]
IUPAC_Name_Generation
COC(=O)c1ccc(C2Oc3ccccc3C3=C2C(c2ccc(OC)cc2)n2ncnc2N3)cc1
1,863,238
methyl 4-[(9S,11S)-11-(4-methoxyphenyl)-8-oxa-12,13,15,17-tetrazatetracyclo[8.7.0.02,7.012,16]heptadeca-1(10),2,4,6,13,15-hexaen-9-yl]benzoate
466.497
4.6332
[ { "content": "Generate the IUPAC nomenclature for the chemical with structure 'COC(=O)c1ccc(C2Oc3ccccc3C3=C2C(c2ccc(OC)cc2)n2ncnc2N3)cc1'.", "role": "user" }, { "content": "methyl 4-[(9S,11S)-11-(4-methoxyphenyl)-8-oxa-12,13,15,17-tetrazatetracyclo[8.7.0.02,7.012,16]heptadeca-1(10),2,4,6,13,15-hexaen-9-yl]benzoate", "role": "assistant" } ]
Stereochemistry_Analysis
CCOC(=O)Cn1nnnc1C(C(C)C)N(Cc1ccccc1)Cc1cc2cc(C)ccc2[nH]c1=O
1,438,078
{"chiral_centers": 1, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 1, "chiral_center_details": [{"atom_index": 11, "configuration": "?"}], "stereogenic_double_bonds": 0, "max_stereoisomers": 2, "potentially_meso": false, "stereochemistry_complexity": "Medium"}
488.592
3.78562
[ { "content": "What is the stereochemistry analysis for the compound represented by 'CCOC(=O)Cn1nnnc1C(C(C)C)N(Cc1ccccc1)Cc1cc2cc(C)ccc2[nH]c1=O'?", "role": "user" }, { "content": "{\"chiral_centers\": 1, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 1, \"chiral_center_details\": [{\"atom_index\": 11, \"configuration\": \"?\"}], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 2, \"potentially_meso\": false, \"stereochemistry_complexity\": \"Medium\"}", "role": "assistant" } ]
IUPAC_Name_Generation
Cc1ccc(S(=O)(=O)N(Cc2ccc(Cl)cc2)c2ccccc2C(=O)Nc2cccc(N(C)S(C)(=O)=O)c2)cc1
1,317,492
2-[(4-chlorophenyl)methyl-(4-methylphenyl)sulfonylamino]-N-[3-[methyl(methylsulfonyl)amino]phenyl]benzamide
598.146
5.69202
[ { "content": "Provide the systematic IUPAC name for the compound 'Cc1ccc(S(=O)(=O)N(Cc2ccc(Cl)cc2)c2ccccc2C(=O)Nc2cccc(N(C)S(C)(=O)=O)c2)cc1'.", "role": "user" }, { "content": "2-[(4-chlorophenyl)methyl-(4-methylphenyl)sulfonylamino]-N-[3-[methyl(methylsulfonyl)amino]phenyl]benzamide", "role": "assistant" } ]
Molecular_Weight_Calculation
CC(=O)c1ccc(NC(=O)c2cc(S(=O)(=O)N3CCOCC3)ccc2C)cc1
1,337,640
402.47
402.472
2.47082
[ { "content": "What is the molecular weight of the compound with SMILES 'CC(=O)c1ccc(NC(=O)c2cc(S(=O)(=O)N3CCOCC3)ccc2C)cc1'?", "role": "user" }, { "content": "402.47", "role": "assistant" } ]
Molecular_Weight_Calculation
COc1cc(OC)cc(C(=O)N2CCN(S(=O)(=O)c3ccc(NC(C)=O)cc3)CC2)c1
1,151,693
447.51
447.513
1.8089
[ { "content": "Provide the molecular weight for 'COc1cc(OC)cc(C(=O)N2CCN(S(=O)(=O)c3ccc(NC(C)=O)cc3)CC2)c1'.", "role": "user" }, { "content": "447.51", "role": "assistant" } ]
GHS_Hazard_Statement_Identification
CN(C)CCCc1c2ccccc2nc2ccc(Cl)cc12
287,683
["H350", "H410"]
298.817
4.5356
[ { "content": "Identify the GHS hazard codes associated with the compound represented by 'CN(C)CCCc1c2ccccc2nc2ccc(Cl)cc12'.", "role": "user" }, { "content": "[\"H350\", \"H410\"]", "role": "assistant" } ]
Molecular_Weight_Calculation
CONC(=O)Nc1ccccc1
254,026
166.18
166.18
1.3695
[ { "content": "What is the molecular weight of the compound with SMILES 'CONC(=O)Nc1ccccc1'?", "role": "user" }, { "content": "166.18", "role": "assistant" } ]
Molecular_Weight_Calculation
COc1ccc(-n2c(SCC(=O)NCc3ccccc3)nnc2-c2cccnc2)cc1
1,135,236
431.52
431.521
3.7464
[ { "content": "What is the molar mass of the substance with SMILES 'COc1ccc(-n2c(SCC(=O)NCc3ccccc3)nnc2-c2cccnc2)cc1'?", "role": "user" }, { "content": "431.52", "role": "assistant" } ]
Molecular_Weight_Calculation
COc1cc(Br)c(Br)c(C=Nc2ccc3c(c2)OCCO3)c1O
1,513,713
443.09
443.091
4.4476
[ { "content": "What is the molecular weight of the compound with SMILES 'COc1cc(Br)c(Br)c(C=Nc2ccc3c(c2)OCCO3)c1O'?", "role": "user" }, { "content": "443.09", "role": "assistant" } ]
Molecular_Weight_Calculation
COc1ccc(-n2c(SCC(=O)Nc3ccc(Br)c(C)c3)nnc2-c2ccccn2)cc1
1,844,735
510.42
510.417
5.13962
[ { "content": "Provide the molecular weight for 'COc1ccc(-n2c(SCC(=O)Nc3ccc(Br)c(C)c3)nnc2-c2ccccn2)cc1'.", "role": "user" }, { "content": "510.42", "role": "assistant" } ]
Solubility_Prediction
CCCc1ccc(Oc2nc(-n3nc(C)cc3C)ncc2C(=O)OCC)cc1
1,979,035
{"log_s": -4.5, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 380.44800000000015, "logp": 4.2, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 3}}
380.448
4.20064
[ { "content": "What is the solubility prediction for the compound represented by 'CCCc1ccc(Oc2nc(-n3nc(C)cc3C)ncc2C(=O)OCC)cc1'?", "role": "user" }, { "content": "{\"log_s\": -4.5, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 380.44800000000015, \"logp\": 4.2, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 3}}", "role": "assistant" } ]
Stereochemistry_Analysis
O=C(CCCNC(=O)OCc1ccccc1)Oc1ccc2c3c(c(=O)oc2c1)CCC3
1,993,125
{"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"}
421.449
3.8937
[ { "content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'O=C(CCCNC(=O)OCc1ccccc1)Oc1ccc2c3c(c(=O)oc2c1)CCC3'.", "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
COc1cc(C=C2SC(=Nc3cccc(C(=O)[O-])c3)N(C)C2=O)ccc1OCc1ccccc1F
1,853,155
491.52
491.52
4.0106
[ { "content": "Provide the molecular weight for 'COc1cc(C=C2SC(=Nc3cccc(C(=O)[O-])c3)N(C)C2=O)ccc1OCc1ccccc1F'.", "role": "user" }, { "content": "491.52", "role": "assistant" } ]
Solubility_Prediction
CCOc1cc[nH]c(=O)c1
817,729
{"log_s": 0.02, "solubility_mg_ml": 0.1463, "solubility_category": "Slightly soluble", "contributing_factors": {"molecular_weight": 139.154, "logp": 0.77, "oh_groups": 0, "nh_groups": 0, "cooh_groups": 0, "aromatic_rings": 1}}
139.154
0.7736
[ { "content": "What is the solubility prediction for the compound represented by 'CCOc1cc[nH]c(=O)c1'?", "role": "user" }, { "content": "{\"log_s\": 0.02, \"solubility_mg_ml\": 0.1463, \"solubility_category\": \"Slightly soluble\", \"contributing_factors\": {\"molecular_weight\": 139.154, \"logp\": 0.77, \"oh_groups\": 0, \"nh_groups\": 0, \"cooh_groups\": 0, \"aromatic_rings\": 1}}", "role": "assistant" } ]
Molecular_Weight_Calculation
Cc1ccc(NC(=O)CSc2ncc(-c3ccc(Br)cc3)[nH]2)cc1
1,147,438
402.32
402.317
4.87842
[ { "content": "Calculate the exact molecular mass for the molecule represented by 'Cc1ccc(NC(=O)CSc2ncc(-c3ccc(Br)cc3)[nH]2)cc1'.", "role": "user" }, { "content": "402.32", "role": "assistant" } ]
Hydrogen_Bond_Properties
O=C(Nc1ccc(Cl)cc1)ON=C1CCN(c2ncc(C(F)(F)F)cc2Cl)CC1
1,477,080
{"donors": 1, "acceptors": 5}
447.244
5.6121
[ { "content": "How many hydrogen bond donors and acceptors are in the molecule with SMILES 'O=C(Nc1ccc(Cl)cc1)ON=C1CCN(c2ncc(C(F)(F)F)cc2Cl)CC1'?", "role": "user" }, { "content": "{\"donors\": 1, \"acceptors\": 5}", "role": "assistant" } ]
Stereochemistry_Analysis
O=C1CC(N2CCC(C(O)(c3ccccc3)c3ccccc3)CC2)C(=O)N1Cc1cccs1
1,256,649
{"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"}
460.599
4.0237
[ { "content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'O=C1CC(N2CCC(C(O)(c3ccccc3)c3ccccc3)CC2)C(=O)N1Cc1cccs1'.", "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
COc1ccc(C(=O)Nc2nc3n(n2)C(c2ccc(OC)cc2)C=C(c2ccccc2)N3)cc1
1,875,257
{"log_s": -5.04, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 453.5020000000001, "logp": 4.6, "oh_groups": 0, "nh_groups": 2, "cooh_groups": 0, "aromatic_rings": 4}}
453.502
4.6036
[ { "content": "Provide information about Solubility_Prediction for the molecule with SMILES 'COc1ccc(C(=O)Nc2nc3n(n2)C(c2ccc(OC)cc2)C=C(c2ccccc2)N3)cc1'.", "role": "user" }, { "content": "{\"log_s\": -5.04, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 453.5020000000001, \"logp\": 4.6, \"oh_groups\": 0, \"nh_groups\": 2, \"cooh_groups\": 0, \"aromatic_rings\": 4}}", "role": "assistant" } ]
IUPAC_Name_Generation
COc1ccc(C2CC(=O)C3=C(C2)NC(C)=C(C(=O)OCC(C)C)C3c2ccc(C)o2)cc1OC
1,130,457
2-methylpropyl (4S,7R)-7-(3,4-dimethoxyphenyl)-2-methyl-4-(5-methylfuran-2-yl)-5-oxo-4,6,7,8-tetrahydro-1H-quinoline-3-carboxylate
479.573
5.16602
[ { "content": "What is the IUPAC name for the molecule with SMILES 'COc1ccc(C2CC(=O)C3=C(C2)NC(C)=C(C(=O)OCC(C)C)C3c2ccc(C)o2)cc1OC'?", "role": "user" }, { "content": "2-methylpropyl (4S,7R)-7-(3,4-dimethoxyphenyl)-2-methyl-4-(5-methylfuran-2-yl)-5-oxo-4,6,7,8-tetrahydro-1H-quinoline-3-carboxylate", "role": "assistant" } ]
IUPAC_Name_Generation
O=c1c(C=NN=C2SC(=Nc3ccccc3)C(=Nc3ccccc3)N2c2ccccc2)coc2ccccc12
1,777,583
3-[[[3-phenyl-4,5-bis(phenylimino)-1,3-thiazolidin-2-ylidene]hydrazinylidene]methyl]chromen-4-one
527.609
7.1967
[ { "content": "Name the molecule 'O=c1c(C=NN=C2SC(=Nc3ccccc3)C(=Nc3ccccc3)N2c2ccccc2)coc2ccccc12' according to IUPAC rules.", "role": "user" }, { "content": "3-[[[3-phenyl-4,5-bis(phenylimino)-1,3-thiazolidin-2-ylidene]hydrazinylidene]methyl]chromen-4-one", "role": "assistant" } ]
Reactivity_Prediction
Cc1cc(CCC(=O)O)c(C)cc1CCC(=O)O
658,500
{"charges": {"C": [{"atom_idx": 2, "charge": -0.056}, {"atom_idx": 6, "charge": 0.303}, {"atom_idx": 11, "charge": -0.056}, {"atom_idx": 15, "charge": 0.303}], "O": [{"atom_idx": 7, "charge": -0.252}, {"atom_idx": 8, "charge": -0.481}, {"atom_idx": 16, "charge": -0.252}, {"atom_idx": 17, "charge": -0.481}]}, "dipole": 2.5, "steric_hindrance": 3.33}
250.294
2.33784
[ { "content": "Determine the reactivity prediction of the chemical structure 'Cc1cc(CCC(=O)O)c(C)cc1CCC(=O)O'.", "role": "user" }, { "content": "{\"charges\": {\"C\": [{\"atom_idx\": 2, \"charge\": -0.056}, {\"atom_idx\": 6, \"charge\": 0.303}, {\"atom_idx\": 11, \"charge\": -0.056}, {\"atom_idx\": 15, \"charge\": 0.303}], \"O\": [{\"atom_idx\": 7, \"charge\": -0.252}, {\"atom_idx\": 8, \"charge\": -0.481}, {\"atom_idx\": 16, \"charge\": -0.252}, {\"atom_idx\": 17, \"charge\": -0.481}]}, \"dipole\": 2.5, \"steric_hindrance\": 3.33}", "role": "assistant" } ]
Drug_Likeness_Assessment
COc1cc(C=CC(=O)O)cc(Br)c1O
244,669
{"molecular_weight": 273.08, "logp": 2.26, "hydrogen_bond_donors": 2, "hydrogen_bond_acceptors": 3, "rotatable_bonds": 3, "topological_polar_surface_area": 66.76, "lipinski_violations": [], "violation_count": 0, "drug_like": true, "assessment": "Drug-like"}
273.082
2.2611
[ { "content": "Determine the drug likeness assessment of the chemical structure 'COc1cc(C=CC(=O)O)cc(Br)c1O'.", "role": "user" }, { "content": "{\"molecular_weight\": 273.08, \"logp\": 2.26, \"hydrogen_bond_donors\": 2, \"hydrogen_bond_acceptors\": 3, \"rotatable_bonds\": 3, \"topological_polar_surface_area\": 66.76, \"lipinski_violations\": [], \"violation_count\": 0, \"drug_like\": true, \"assessment\": \"Drug-like\"}", "role": "assistant" } ]
Stereochemistry_Analysis
NNc1cccc(Cl)c1Cl
600,691
{"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"}
177.034
2.279
[ { "content": "Determine the stereochemistry analysis of the chemical structure 'NNc1cccc(Cl)c1Cl'.", "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" } ]
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": "What is the functional group identification for the compound represented by '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" } ]
IUPAC_Name_Generation
CCCCCCCCCCCCCCCCCCCCCCCC(C)CC(C)CC(C)C(=O)OC
567,889
methyl 2,4,6-trimethylnonacosanoate
494.889
11.45
[ { "content": "Provide the systematic IUPAC name for the compound 'CCCCCCCCCCCCCCCCCCCCCCCC(C)CC(C)CC(C)C(=O)OC'.", "role": "user" }, { "content": "methyl 2,4,6-trimethylnonacosanoate", "role": "assistant" } ]
Solubility_Prediction
CC(=NNC(=O)CSc1nnc(-c2ccc(C)cc2)n1-c1ccc(C)cc1)c1ccco1
1,391,131
{"log_s": -5.34, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 445.5480000000002, "logp": 4.78, "oh_groups": 0, "nh_groups": 1, "cooh_groups": 0, "aromatic_rings": 4}}
445.548
4.77664
[ { "content": "Provide information about Solubility_Prediction for the molecule with SMILES 'CC(=NNC(=O)CSc1nnc(-c2ccc(C)cc2)n1-c1ccc(C)cc1)c1ccco1'.", "role": "user" }, { "content": "{\"log_s\": -5.34, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 445.5480000000002, \"logp\": 4.78, \"oh_groups\": 0, \"nh_groups\": 1, \"cooh_groups\": 0, \"aromatic_rings\": 4}}", "role": "assistant" } ]
GHS_Hazard_Statement_Identification
O=C(O)c1cncc(Br)c1
88,707
["H314", "H350"]
202.007
1.5423
[ { "content": "Identify the GHS hazard codes associated with the compound represented by 'O=C(O)c1cncc(Br)c1'.", "role": "user" }, { "content": "[\"H314\", \"H350\"]", "role": "assistant" } ]
Stereochemistry_Analysis
COC(=O)c1coc(CN(CCC(C)C)C(=O)Nc2cccc(Cl)c2Cl)n1
1,196,382
{"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"}
414.289
4.8482
[ { "content": "What is the stereochemistry analysis for the compound represented by 'COC(=O)c1coc(CN(CCC(C)C)C(=O)Nc2cccc(Cl)c2Cl)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" } ]
GHS_Pictogram_Identification
COC(=O)c1coc(CN(C(=O)Nc2ccccc2Br)C(C)(C)C)n1
1,197,718
["GHS05", "GHS06", "GHS08", "GHS09"]
410.268
4.0563
[ { "content": "List all appropriate GHS hazard pictograms for the molecule represented by 'COC(=O)c1coc(CN(C(=O)Nc2ccccc2Br)C(C)(C)C)n1'.", "role": "user" }, { "content": "[\"GHS05\", \"GHS06\", \"GHS08\", \"GHS09\"]", "role": "assistant" } ]
Hydrogen_Bond_Properties
C=C(CC)OC(C)=O
82,680
{"donors": 0, "acceptors": 2}
114.144
1.4732
[ { "content": "Identify the number of H-bond donors and acceptors in the compound 'C=C(CC)OC(C)=O'.", "role": "user" }, { "content": "{\"donors\": 0, \"acceptors\": 2}", "role": "assistant" } ]
Molecular_Weight_Calculation
COc1cc(Nc2nc(C)cc(C)n2)cc(OC)c1OC
124,689
289.34
289.335
2.86284
[ { "content": "What is the molecular weight of the compound with SMILES 'COc1cc(Nc2nc(C)cc(C)n2)cc(OC)c1OC'?", "role": "user" }, { "content": "289.34", "role": "assistant" } ]
Molecular_Weight_Calculation
O=C(Oc1ccc(C=Nc2ccc(I)cc2)c(OC(=O)c2ccco2)c1)c1ccco1
1,536,346
527.27
527.27
5.6662
[ { "content": "What is the molar mass of the substance with SMILES 'O=C(Oc1ccc(C=Nc2ccc(I)cc2)c(OC(=O)c2ccco2)c1)c1ccco1'?", "role": "user" }, { "content": "527.27", "role": "assistant" } ]
IUPAC_Name_Generation
CC(C)c1ccc(NC2=C(Sc3ccccc3)C(=O)N(c3ccccc3Cl)C2=O)cc1
1,676,636
1-(2-chlorophenyl)-3-phenylsulfanyl-4-(4-propan-2-ylanilino)pyrrole-2,5-dione
448.975
6.4526
[ { "content": "Provide the systematic IUPAC name for the compound 'CC(C)c1ccc(NC2=C(Sc3ccccc3)C(=O)N(c3ccccc3Cl)C2=O)cc1'.", "role": "user" }, { "content": "1-(2-chlorophenyl)-3-phenylsulfanyl-4-(4-propan-2-ylanilino)pyrrole-2,5-dione", "role": "assistant" } ]
Stereochemistry_Analysis
COc1ccc(CN(Cc2cc3cc(OC)c(OC)cc3[nH]c2=O)Cc2nnnn2Cc2ccccc2)cc1
1,464,270
{"chiral_centers": 0, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 0, "chiral_center_details": [], "stereogenic_double_bonds": 0, "max_stereoisomers": 1, "potentially_meso": false, "stereochemistry_complexity": "None"}
526.597
3.7911
[ { "content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'COc1ccc(CN(Cc2cc3cc(OC)c(OC)cc3[nH]c2=O)Cc2nnnn2Cc2ccccc2)cc1'.", "role": "user" }, { "content": "{\"chiral_centers\": 0, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 0, \"chiral_center_details\": [], \"stereogenic_double_bonds\": 0, \"max_stereoisomers\": 1, \"potentially_meso\": false, \"stereochemistry_complexity\": \"None\"}", "role": "assistant" } ]
Solubility_Prediction
C=CCc1cc(C=C2NC(=O)NC2=O)cc(OCC)c1OCc1ccc(Cl)c(Cl)c1
1,334,071
{"log_s": -4.71, "solubility_mg_ml": 0.0, "solubility_category": "Poorly soluble", "contributing_factors": {"molecular_weight": 447.3180000000002, "logp": 4.88, "oh_groups": 0, "nh_groups": 2, "cooh_groups": 0, "aromatic_rings": 2}}
447.318
4.8799
[ { "content": "Determine the solubility prediction of the chemical structure 'C=CCc1cc(C=C2NC(=O)NC2=O)cc(OCC)c1OCc1ccc(Cl)c(Cl)c1'.", "role": "user" }, { "content": "{\"log_s\": -4.71, \"solubility_mg_ml\": 0.0, \"solubility_category\": \"Poorly soluble\", \"contributing_factors\": {\"molecular_weight\": 447.3180000000002, \"logp\": 4.88, \"oh_groups\": 0, \"nh_groups\": 2, \"cooh_groups\": 0, \"aromatic_rings\": 2}}", "role": "assistant" } ]
Synthetic_Accessibility
CC1CCN(C(=O)Nc2cccc(Cl)c2)CC1
707,662
{'sa_score': 8.75, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
252.745
3.6038
[ { "content": "Determine the synthetic accessibility of the chemical structure 'CC1CCN(C(=O)Nc2cccc(Cl)c2)CC1'.", "role": "user" }, { "content": "{'sa_score': 8.75, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}", "role": "assistant" } ]
Stereochemistry_Analysis
CCOc1ccc(N2C3=[N+](CCCCC3)CC2(O)c2ccc(-c3ccccc3)cc2)cc1
1,585,796
{"chiral_centers": 1, "assigned_chiral_centers": 0, "unassigned_chiral_centers": 1, "chiral_center_details": [{"atom_index": 16, "configuration": "?"}], "stereogenic_double_bonds": 1, "max_stereoisomers": 2, "potentially_meso": false, "stereochemistry_complexity": "Medium"}
427.568
5.4026
[ { "content": "Provide information about Stereochemistry_Analysis for the molecule with SMILES 'CCOc1ccc(N2C3=[N+](CCCCC3)CC2(O)c2ccc(-c3ccccc3)cc2)cc1'.", "role": "user" }, { "content": "{\"chiral_centers\": 1, \"assigned_chiral_centers\": 0, \"unassigned_chiral_centers\": 1, \"chiral_center_details\": [{\"atom_index\": 16, \"configuration\": \"?\"}], \"stereogenic_double_bonds\": 1, \"max_stereoisomers\": 2, \"potentially_meso\": false, \"stereochemistry_complexity\": \"Medium\"}", "role": "assistant" } ]
Reactivity_Prediction
CCOC(=O)c1cnc2ccc(OC)cc2c1Nc1ccc(OCc2ccccc2Cl)cc1
1,564,577
{"charges": {"C": [{"atom_idx": 1, "charge": 0.089}, {"atom_idx": 3, "charge": 0.341}, {"atom_idx": 5, "charge": 0.102}, {"atom_idx": 8, "charge": 0.073}, {"atom_idx": 11, "charge": 0.119}, {"atom_idx": 13, "charge": 0.078}, {"atom_idx": 16, "charge": 0.064}, {"atom_idx": 21, "charge": 0.119}, {"atom_idx": 23, "charge": 0.115}, {"atom_idx": 25, "charge": -0.054}, {"atom_idx": 26, "charge": -0.062}, {"atom_idx": 27, "charge": -0.061}], "O": [{"atom_idx": 2, "charge": -0.462}, {"atom_idx": 4, "charge": -0.246}, {"atom_idx": 12, "charge": -0.497}, {"atom_idx": 22, "charge": -0.489}], "N": [{"atom_idx": 7, "charge": -0.255}, {"atom_idx": 17, "charge": -0.354}], "Cl": [{"atom_idx": 30, "charge": -0.084}]}, "dipole": 4.62, "steric_hindrance": 3.03}
462.933
6.3961
[ { "content": "Provide information about Reactivity_Prediction for the molecule with SMILES 'CCOC(=O)c1cnc2ccc(OC)cc2c1Nc1ccc(OCc2ccccc2Cl)cc1'.", "role": "user" }, { "content": "{\"charges\": {\"C\": [{\"atom_idx\": 1, \"charge\": 0.089}, {\"atom_idx\": 3, \"charge\": 0.341}, {\"atom_idx\": 5, \"charge\": 0.102}, {\"atom_idx\": 8, \"charge\": 0.073}, {\"atom_idx\": 11, \"charge\": 0.119}, {\"atom_idx\": 13, \"charge\": 0.078}, {\"atom_idx\": 16, \"charge\": 0.064}, {\"atom_idx\": 21, \"charge\": 0.119}, {\"atom_idx\": 23, \"charge\": 0.115}, {\"atom_idx\": 25, \"charge\": -0.054}, {\"atom_idx\": 26, \"charge\": -0.062}, {\"atom_idx\": 27, \"charge\": -0.061}], \"O\": [{\"atom_idx\": 2, \"charge\": -0.462}, {\"atom_idx\": 4, \"charge\": -0.246}, {\"atom_idx\": 12, \"charge\": -0.497}, {\"atom_idx\": 22, \"charge\": -0.489}], \"N\": [{\"atom_idx\": 7, \"charge\": -0.255}, {\"atom_idx\": 17, \"charge\": -0.354}], \"Cl\": [{\"atom_idx\": 30, \"charge\": -0.084}]}, \"dipole\": 4.62, \"steric_hindrance\": 3.03}", "role": "assistant" } ]
Synthetic_Accessibility
CC1CC(Cl)CC(C)(C)C1
237,820
{'sa_score': 8.85, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}
160.688
3.44
[ { "content": "What is the synthetic accessibility for the compound represented by 'CC1CC(Cl)CC(C)(C)C1'?", "role": "user" }, { "content": "{'sa_score': 8.85, 'calculation_method': 'heuristic', 'confidence_score': 'medium'}", "role": "assistant" } ]