IMPPAT Phytochemical information: 
Teniposide
Teniposide
Summary

SMILES: COc1cc(cc(c1O)OC)[C@H]1[C@H]2C(=O)OC[C@@H]2[C@@H](c2c1cc1OCOc1c2)O[C@@H]1O[C@@H]2CO[C@H](O[C@H]2[C@@H]([C@H]1O)O)c1cccs1
InChI: InChI=1S/C32H32O13S/c1-37-19-6-13(7-20(38-2)25(19)33)23-14-8-17-18(42-12-41-17)9-15(14)28(16-10-39-30(36)24(16)23)44-32-27(35)26(34)29-21(43-32)11-40-31(45-29)22-4-3-5-46-22/h3-9,16,21,23-24,26-29,31-35H,10-12H2,1-2H3/t16-,21+,23+,24-,26+,27+,28+,29+,31+,32-/m0/s1
InChIKey: NRUKOCRGYNPUPR-QBPJDGROSA-N
DeepSMILES: COcccccc6O))OC))))[C@H][C@H]C=O)OC[C@@H]5[C@@H]cc9ccOCOc5c9)))))))))O[C@@H]O[C@@H]CO[C@H]O[C@H]6[C@@H][C@H]%10O))O))))ccccs5
Scaffold Graph/Node/Bond level: O=C1OCC2C(OC3CCC4OC(c5cccs5)OCC4O3)c3cc4c(cc3C(c3ccccc3)C12)OCO4
Scaffold Graph/Node level: OC1OCC2C(OC3CCC4OC(C5CCCS5)OCC4O3)C3CC4OCOC4CC3C(C3CCCCC3)C12
Scaffold Graph level: CC1CCC2C(CC3CCC4CC(C5CCCC5)CCC4C3)C3CC4CCCC4CC3C(C3CCCCC3)C12
Functional groups: CO; COC(C)=O; CO[C@@H](C)OC; c1cOCO1; cO; cOC; c[C@H](OC)OC; csc
Chemical classification
ClassyFire Kingdom: Organic compounds
ClassyFire Superclass: Lignans, neolignans and related compounds
ClassyFire Class: Lignan lactones
ClassyFire Subclass: Podophyllotoxins
NP Classifier Biosynthetic pathway: Shikimates and Phenylpropanoids
NP Classifier Superclass: Lignans
NP Classifier Class: Arylnaphthalene and aryltetralin lignans
Synonymous chemical names:
vm-26
External chemical identifiers:
CID:452548; ChEMBL:CHEMBL452231; ChEBI:75988; ZINC:ZINC000004099009; FDASRS:957E6438QA; SureChEMBL:SCHEMBL3908; MolPort-006-822-656
Chemical structure download
2D:2D MOL2D MOL22D SDF
3D:3D MOL3D MOL23D SDF3D PDB3D PDBQT
Teniposide
Physicochemical properties
Property name Tool Property value
Molecular weight (g/mol) RDKit 656.66
Log P RDKit 2.75
Topological polar surface area (Å2) RDKit 160.83
Number of hydrogen bond acceptors RDKit 14
Number of hydrogen bond donors RDKit 3
Number of carbon atoms RDKit 32
Number of heavy atoms RDKit 46
Number of heteroatoms RDKit 14
Number of nitrogen atoms RDKit 0
Number of sulfur atoms RDKit 1
Number of chiral carbon atoms RDKit 10
Stereochemical complexity RDKit 0.31
Number of sp hybridized carbon atoms RDKit 0
Number of sp2 hybridized carbon atoms RDKit 17
Number of sp3 hybridized carbon atoms RDKit 15
Shape complexity RDKit 0.47
Number of rotatable bonds RDKit 6
Number of aliphatic carbocycles RDKit 1
Number of aliphatic heterocycles RDKit 4
Number of aliphatic rings RDKit 5
Number of aromatic carbocycles RDKit 2
Number of aromatic heterocycles RDKit 1
Number of aromatic rings RDKit 3
Total number of rings RDKit 8
Number of saturated carbocycles RDKit 0
Number of saturated heterocycles RDKit 3
Number of saturated rings RDKit 3
Number of Smallest Set of Smallest Rings (SSSR) RDKit 8
Teniposide
Drug-likeness properties
Property nameToolProperty value
Number of Lipinski’s rule of 5 violations RDKit 2
Lipinski’s rule of 5 filter RDKit Failed
Number of Ghose filter violations RDKit 3
Ghose filter RDKit Failed
Veber filter RDKit Bad
Pfizer 3/75 filter RDKit Good
GSK 4/400 filter RDKit Bad
Weighted quantitative estimate of drug-likeness (QEDw) score RDKit 0.3328
Teniposide
ADMET properties
Property nameToolProperty value
Bioavailability score SwissADME 0.17
Solubility class [ESOL] SwissADME Moderately soluble
Solubility class [Silicos-IT] SwissADME Moderately soluble
Blood Brain Barrier permeation SwissADME No
Gastrointestinal absorption SwissADME Low
Log Kp (Skin permeation, cm/s) SwissADME -9.43
Number of PAINS structural alerts SwissADME 0.0
Number of Brenk structural alerts SwissADME 0.0
CYP1A2 inhibitor SwissADME No
CYP2C19 inhibitor SwissADME No
CYP2C9 inhibitor SwissADME No
CYP2D6 inhibitor SwissADME Yes
CYP3A4 inhibitor SwissADME No
P-glycoprotein substrate SwissADME Yes
Teniposide
Predicted human target proteins
Protein identifierHGNC symbolCombined score from STITCH database
ENSP00000260682CYP2C9800
ENSP00000285238ABCC3950
ENSP00000295897ALB800
ENSP00000347979FAS800
ENSP00000354522TOP1718
ENSP00000356694FASLG800
ENSP00000360372CYP2C19800
ENSP00000396704TOP2B960
ENSP00000411532TOP2A960
The human target proteins were predicted using STITCH, a database of Chemical-Protein interaction networks.