IMPPAT Phytochemical information: 
Hesperidin
Hesperidin
Summary

SMILES: COc1ccc(cc1O)[C@@H]1CC(=O)c2c(O1)cc(cc2O)O[C@@H]1O[C@H](CO[C@@H]2O[C@@H](C)[C@@H]([C@H]([C@H]2O)O)O)[C@H]([C@@H]([C@H]1O)O)O
InChI: InChI=1S/C28H34O15/c1-10-21(32)23(34)25(36)27(40-10)39-9-19-22(33)24(35)26(37)28(43-19)41-12-6-14(30)20-15(31)8-17(42-18(20)7-12)11-3-4-16(38-2)13(29)5-11/h3-7,10,17,19,21-30,32-37H,8-9H2,1-2H3/t10-,17-,19+,21-,22+,23+,24-,25+,26+,27+,28+/m0/s1
InChIKey: QUQPHWDTPGMPEX-QJBIFVCTSA-N
DeepSMILES: COcccccc6O)))[C@@H]CC=O)ccO6)cccc6O)))O[C@@H]O[C@H]CO[C@@H]O[C@@H]C)[C@@H][C@H][C@H]6O))O))O)))))))[C@H][C@@H][C@H]6O))O))O
Scaffold Graph/Node/Bond level: O=C1CC(c2ccccc2)Oc2cc(OC3CCCC(COC4CCCCO4)O3)ccc21
Scaffold Graph/Node level: OC1CC(C2CCCCC2)OC2CC(OC3CCCC(COC4CCCCO4)O3)CCC12
Scaffold Graph level: CC1CC(C2CCCCC2)CC2CC(CC3CCCC(CCC4CCCCC4)C3)CCC12
Functional groups: CO; CO[C@@H](C)OC; cC(C)=O; cO; cOC; cO[C@@H](C)OC
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: Flavanones
Synonymous chemical names:
7-rutinoside of hesperetin, cirantin, hesperetin-7-rutinoside, hesperidin, hesperidin (hesperetin-7-o-rutinoside), hesperidine, hesperidoside
External chemical identifiers:
CID:10621; ChEMBL:CHEMBL449317; ChEBI:28775; ZINC:ZINC000008143568; FDASRS:E750O06Y6O; SureChEMBL:SCHEMBL94586; MolPort-001-794-015
Chemical structure download
2D:2D MOL2D MOL22D SDF
3D:3D MOL3D MOL23D SDF3D PDB3D PDBQT
Hesperidin
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
Hesperidin
Drug-likeness
Property nameToolProperty value
Number of Lipinski’s rule of 5 violations RDKit 3
Lipinski’s rule of 5 filter RDKit Failed
Number of Ghose filter violations RDKit 4
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 0.1847
Hesperidin
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 -10.12
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 No
CYP3A4 inhibitor SwissADME No
P-glycoprotein substrate SwissADME Yes
Hesperidin
Phytochemical - Predicted human target protein associations
Predicted human target proteins
Protein identifierHGNC symbolCombined score from STITCH database
ENSP00000216117HMOX1800
ENSP00000232014BCL6800
ENSP00000264246CD80800
ENSP00000269305TP53800
ENSP00000311032CASP3818
ENSP00000329357SP1800
ENSP00000329411IRF7800
ENSP00000335074GHRL800
ENSP00000361405MMP9938
ENSP00000377192G6PD700
The human target proteins were predicted using STITCH, a database of Chemical-Protein interaction networks.