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 0
Log P RDKit 0
Topological polar surface area (Å2) RDKit
Number of hydrogen bond acceptors RDKit
Number of hydrogen bond donors RDKit
Number of carbon atoms RDKit
Number of heavy atoms RDKit
Number of heteroatoms RDKit
Number of nitrogen atoms RDKit
Number of sulfur atoms RDKit
Number of chiral carbon atoms RDKit
Stereochemical complexity RDKit 0
Number of sp hybridized carbon atoms RDKit
Number of sp2 hybridized carbon atoms RDKit
Number of sp3 hybridized carbon atoms RDKit
Shape complexity RDKit
Number of rotatable bonds RDKit
Number of aliphatic carbocycles RDKit
Number of aliphatic heterocycles RDKit
Number of aliphatic rings RDKit
Number of aromatic carbocycles RDKit
Number of aromatic heterocycles RDKit
Number of aromatic rings RDKit
Total number of rings RDKit
Number of saturated carbocycles RDKit
Number of saturated heterocycles RDKit
Number of saturated rings RDKit
Number of Smallest Set of Smallest Rings (SSSR) RDKit
Teniposide
Drug-likeness
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
Phytochemical - Predicted human target protein associations
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.