Molecule card · MolClass #24299
HMDB12155
HMDB12155: 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
- Imported compound names
- HMDB12155Metabolite Likeness · compound_name
- MolClass ID
- 24299
- InChIKey
- VGEBXBQECGWCRH-PUEFWPISSA-M
- Canonical SMILES
- CC(C)(COP(=O)(O)OP(=O)(O)OCC1OC(C(O)C1(OP(O)(=O)O))n3cnc2c(N)ncnc23)C(O)C(=O)NCCC(=O)NCCSC(=O)CC(O)CCCC(=O)[O-]
- Standard InChI
- InChI=1S/C28H46N7O20P3S/c1-28(2,23(42)26(43)31-7-6-17(37)30-8-9-59-19(40)10-15(36)4-3-5-18(38)39)12-52-58(49,50)55-57(47,48)51-11-16-22(54-56(44,45)46)21(41)27(53-16)35-14-34-20-24(29)32-13-33-25(20)35/h13-16,21-23,27,36,41-42H,3-12H2,1-2H3,(H,30,37)(H,31,43)(H,38,39)(H,47,48)(H,49,50)(H2,29,32,33)(H2,44,45,46)/p-1/t15?,16-,21-,22-,23?,27-/m1/s1
- Stored Murcko scaffold
- n1cnc2c(ncn2C3OCCC3)c1
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.
- LOPAC 00702#110
- LOPAC 00015#116
- LOPAC 00016#133
- LOPAC 00011#192
- LOPAC 00014#248
- LOPAC 00029#307
- LOPAC 00858#374
- LOPAC 00010#419
- LOPAC 00958#575
- LOPAC 01046#688
- LOPAC 00050#690
- LOPAC 00052#691
- LOPAC 01337#744
- LOPAC 00464#1110
- N6-methyladenosine#1480
- Thioguanosine#1525
- Adenosine 5'-monophosphate monohydrate#1563
- Vidarabine#1795
- 3868-31-3#2544
- 73-03-0#3255
Calculated molecular properties
Stored descriptor calculations, not measured experimental values.
- Hydrogen bond acceptors
- 26
- CDK 2.12 · 2026-08-19
- Hydrogen bond donors
- 10
- CDK 2.12 · 2026-08-19
- Rotatable bonds
- 28
- CDK 2.12 · 2026-08-19
- Topological polar surface area
- 478.72 Ų
- CDK 2.12 · 2026-08-19
- Molecular weight
- 924.68 g/mol
- CDK 2.12 · 2026-08-19
- XLogP
- -7.138
- 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.
Metabolite Likeness
Dataset #15 · HMDB12155