IMPPAT Phytochemical information: 
Cynaroside
Cynaroside
Summary

SMILES: OC[C@H]1O[C@@H](Oc2cc(O)c3c(c2)oc(cc3=O)c2ccc(c(c2)O)O)[C@@H]([C@H]([C@@H]1O)O)O
InChI: InChI=1S/C21H20O11/c22-7-16-18(27)19(28)20(29)21(32-16)30-9-4-12(25)17-13(26)6-14(31-15(17)5-9)8-1-2-10(23)11(24)3-8/h1-6,16,18-25,27-29H,7H2/t16-,18-,19+,20-,21-/m1/s1
InChIKey: PEFNSGRTCBGNAN-QNDFHXLGSA-N
DeepSMILES: OC[C@H]O[C@@H]OcccO)ccc6)occc6=O)))cccccc6)O))O)))))))))))))[C@@H][C@H][C@@H]6O))O))O
Scaffold Graph/Node/Bond level: O=c1cc(-c2ccccc2)oc2cc(OC3CCCCO3)ccc12
Scaffold Graph/Node level: OC1CC(C2CCCCC2)OC2CC(OC3CCCCO3)CCC12
Scaffold Graph level: CC1CC(C2CCCCC2)CC2CC(CC3CCCCC3)CCC12
Functional groups: CO; c=O; cO; cO[C@@H](C)OC; coc
Chemical classification
ClassyFire Kingdom: Organic compounds
ClassyFire Superclass: Phenylpropanoids and polyketides
ClassyFire Class: Flavonoids
ClassyFire Subclass: Flavonoid glycosides
NP Classifier Biosynthetic pathway: Shikimates and Phenylpropanoids
NP Classifier Superclass: Flavonoids
NP Classifier Class: Flavones
Synonymous chemical names:
7-glucoside of luteolin, cinaroside, cynaroside, galuteolin, gluco luteolin, glucoluteolin, luteolin -7- glucoside, luteolin 7-glucoside, luteolin 7-o-glucoside, luteolin and its 7 glucoside, luteolin-7-glucoside, luteolin-7-glucosides, luteolin-7-glucosylglucuronide, luteolin-7-mono-beta-d-glucopyranoside, luteolin-7-o-beta-glucoside, luteolin-7-o-glucopyranoside, luteolin-7-o-glucoside, luteolin-7-β-d-glucoside, luteolin-7-β-glucoside, luteoloside
External chemical identifiers:
CID:5280637; ChEMBL:CHEMBL233929; ChEBI:27994; ZINC:ZINC000004096258; FDASRS:98J6XDS46I; SureChEMBL:SCHEMBL149118; MolPort-001-740-780
Chemical structure download
2D:2D MOL2D MOL22D SDF
3D:3D MOL3D MOL23D SDF3D PDB3D PDBQT
Cynaroside
Physicochemical properties
Property name Tool Property value
Molecular weight (g/mol) RDKit 448.38
Log P RDKit -0.24
Topological polar surface area (Å2) RDKit 190.28
Number of hydrogen bond acceptors RDKit 11
Number of hydrogen bond donors RDKit 7
Number of carbon atoms RDKit 21
Number of heavy atoms RDKit 32
Number of heteroatoms RDKit 11
Number of nitrogen atoms RDKit 0
Number of sulfur atoms RDKit 0
Number of chiral carbon atoms RDKit 5
Stereochemical complexity RDKit 0.24
Number of sp hybridized carbon atoms RDKit 0
Number of sp2 hybridized carbon atoms RDKit 15
Number of sp3 hybridized carbon atoms RDKit 6
Shape complexity RDKit 0.29
Number of rotatable bonds RDKit 4
Number of aliphatic carbocycles RDKit 0
Number of aliphatic heterocycles RDKit 1
Number of aliphatic rings RDKit 1
Number of aromatic carbocycles RDKit 2
Number of aromatic heterocycles RDKit 1
Number of aromatic rings RDKit 3
Total number of rings RDKit 4
Number of saturated carbocycles RDKit 0
Number of saturated heterocycles RDKit 1
Number of saturated rings RDKit 1
Number of Smallest Set of Smallest Rings (SSSR) RDKit 4
Cynaroside
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 0
Ghose filter RDKit Passed
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 0.2606
Cynaroside
ADMET properties
Property nameToolProperty value
Bioavailability score SwissADME 0.17
Solubility class [ESOL] SwissADME Soluble
Solubility class [Silicos-IT] SwissADME Soluble
Blood Brain Barrier permeation SwissADME No
Gastrointestinal absorption SwissADME Low
Log Kp (Skin permeation, cm/s) SwissADME -8.0
Number of PAINS structural alerts SwissADME 1.0
Number of Brenk structural alerts SwissADME 1.0
CYP1A2 inhibitor SwissADME No
CYP2C19 inhibitor SwissADME No
CYP2C9 inhibitor SwissADME No
CYP2D6 inhibitor SwissADME No
CYP3A4 inhibitor SwissADME No
P-glycoprotein substrate SwissADME Yes
Cynaroside
Predicted human target proteins
Protein identifierHGNC symbolCombined score from STITCH database
ENSP00000216117HMOX1800
ENSP00000297494NOS3920
ENSP00000327251NOS2784
The human target proteins were predicted using STITCH, a database of Chemical-Protein interaction networks.