Molecule card · MolClass #81592
Carbenicillin
Carbenicillin: molecular structure, identifiers, source datasets and 0 saved model results in MolClass.
1 source records · 0 model builds with saved results
Explore classification modelsStructure and identifiers
- MolClass ID
- 81592
- InChIKey
- FPPNZSSZRUTDAP-UWFZAAFLSA-N
- Canonical SMILES
- CC3(C)(C(C(O)=O)N2C(=O)C(NC(=O)C(C(O)=O)c1ccccc1)C2S3)
- Standard InChI
- InChI=1S/C17H18N2O6S/c1-17(2)11(16(24)25)19-13(21)10(14(19)26-17)18-12(20)9(15(22)23)8-6-4-3-5-7-8/h3-7,9-11,14H,1-2H3,(H,18,20)(H,22,23)(H,24,25)/t9?,10-,11+,14-/m1/s1
- Stored Murcko scaffold
- S1CCN2[CH]C(N[CH]Cc3ccccc3)C12
Registry normalization: MIGRATED_RAW. A registry entry does not establish drug approval or clinical use.
Molecules with the same Murcko scaffold
Exact matches to the stored ring-and-linker framework. Sharing a scaffold does not by itself establish activity or applicability to a model.
- amoxicillin#1275
- Bacampicillin hydrochloride#1681
- Ampicillin trihydrate#1711
- Metampicillin sodium salt#1714
- Benzylpenicillin sodium#1948
- Pivampicillin#2010
- 63358-49-6#4160
- 113-98-4#6454
- 7177-48-2#6574
- 7177-48-2#8469
- 103730364#25165
- 103165163#25460
- 11533065#35853
- [Na+].[O-]C(=O)C1N2C(SC1(C)C)C(NC(=O)Cc1ccccc1)C2=O#155105
- CC(C)(C)C(=O)OCOC(=O)C1N2C(SC1(C)C)C(NC(=O)C(N)c1ccccc1)C2=O#155146
- CC1(C)SC2C(NC(=O)C(N)c3ccc(O)cc3)C(=O)N2C1C(O)=O#155355
- Cl.CCOC(=O)OC(C)OC(=O)C1N2C(SC1(C)C)C(NC(=O)C(N)c1ccccc1)C2=O#155379
- O.O.O.CC1(C)SC2C(NC(=O)C(N)c3ccccc3)C(=O)N2C1C(O)=O#155398
- [Na+].[O-]C(=O)C1N2C(SC1(C)C)C(NC(=O)C(N=C)c1ccccc1)C2=O#155401
- CC1(C)SC2C(NC(=O)C(N)c3ccccc3)C(=O)N2C1C(=O)[O-].[Na+]#155747
Calculated molecular properties
Stored descriptor calculations, not measured experimental values.
- Hydrogen bond acceptors
- 8
- CDK 2.12 · 2026-08-19
- Hydrogen bond donors
- 3
- CDK 2.12 · 2026-08-19
- Rotatable bonds
- 6
- CDK 2.12 · 2026-08-19
- Topological polar surface area
- 149.31 Ų
- CDK 2.12 · 2026-08-19
- Molecular weight
- 378.401 g/mol
- CDK 2.12 · 2026-08-19
- XLogP
- 1.84
- CDK 2.12 · 2026-08-19
Saved model predictions
Computational predictions, not experimental measurements or clinical guidance. Results depend on the model build; applicability indicates similarity to its training chemistry.
No saved predictions yet. Explore classification models to choose a prediction.
Source datasets
Dataset registrations and identifiers stored in MolClass.
Microsome Clearance (AZ Hackathon)
Dataset #31 · AZM568