IMPPAT Phytochemical information: 
Echinacoside

Echinacoside
Summary

SMILES: OC[C@H]1O[C@@H](OC[C@H]2O[C@@H](OCCc3ccc(c(c3)O)O)[C@@H]([C@H]([C@@H]2OC(=O)/C=C/c2ccc(c(c2)O)O)O[C@@H]2O[C@@H](C)[C@@H]([C@H]([C@H]2O)O)O)O)[C@@H]([C@H]([C@@H]1O)O)O
InChI: InChI=1S/C35H46O20/c1-14-24(42)26(44)29(47)35(51-14)55-32-30(48)34(49-9-8-16-3-6-18(38)20(40)11-16)53-22(13-50-33-28(46)27(45)25(43)21(12-36)52-33)31(32)54-23(41)7-4-15-2-5-17(37)19(39)10-15/h2-7,10-11,14,21-22,24-40,42-48H,8-9,12-13H2,1H3/b7-4+/t14-,21+,22+,24-,25+,26+,27-,28+,29+,30+,31+,32+,33+,34+,35-/m0/s1
InChIKey: FSBUXLDOLNLABB-ISAKITKMSA-N
DeepSMILES: OC[C@H]O[C@@H]OC[C@H]O[C@@H]OCCcccccc6)O))O))))))))[C@@H][C@H][C@@H]6OC=O)/C=C/cccccc6)O))O))))))))))O[C@@H]O[C@@H]C)[C@@H][C@H][C@H]6O))O))O)))))))O)))))))[C@@H][C@H][C@@H]6O))O))O
Scaffold Graph/Node/Bond level: O=C(C=Cc1ccccc1)OC1C(COC2CCCCO2)OC(OCCc2ccccc2)CC1OC1CCCCO1
Scaffold Graph/Node level: OC(CCC1CCCCC1)OC1C(COC2CCCCO2)OC(OCCC2CCCCC2)CC1OC1CCCCO1
Scaffold Graph level: CC(CCC1CCCCC1)CC1C(CCC2CCCCC2)CC(CCCC2CCCCC2)CC1CC1CCCCC1
Functional groups: CO; CO[C@@H](C)OC; CO[C@H](C)OC; c/C=C/C(=O)OC; cO
Chemical classification
ClassyFire Kingdom: Organic compounds
ClassyFire Superclass: Organic oxygen compounds
ClassyFire Class: Organooxygen compounds
ClassyFire Subclass: Carbohydrates and carbohydrate conjugates
NP Classifier Biosynthetic pathway: Shikimates and Phenylpropanoids
NP Classifier Superclass: Phenylethanoids (C6-C2)|Phenylpropanoids (C6-C3)
NP Classifier Class: Cinnamic acids and derivatives|Phenylethanoids
Synonymous chemical names:
echinacoside
External chemical identifiers:
CID:5281771; ChEMBL:CHEMBL510539; ChEBI:4745; ZINC:ZINC000085504689; FDASRS:I04O1DT48T; SureChEMBL:SCHEMBL525502; MolPort-001-742-524
Chemical structure download


Echinacoside
Physicochemical properties
Property name Tool Property value
Molecular weight (g/mol) RDKit 786.73
Log P RDKit -3.19
Topological polar surface area (Å2) RDKit 324.44
Number of hydrogen bond acceptors RDKit 20
Number of hydrogen bond donors RDKit 12
Number of carbon atoms RDKit 35
Number of heavy atoms RDKit 55
Number of heteroatoms RDKit 20
Number of nitrogen atoms RDKit 0
Number of sulfur atoms RDKit 0
Number of chiral carbon atoms RDKit 15
Stereochemical complexity RDKit 0.43
Number of sp hybridized carbon atoms RDKit 0
Number of sp2 hybridized carbon atoms RDKit 15
Number of sp3 hybridized carbon atoms RDKit 20
Shape complexity RDKit 0.57
Number of rotatable bonds RDKit 14
Number of aliphatic carbocycles RDKit 0
Number of aliphatic heterocycles RDKit 3
Number of aliphatic rings RDKit 3
Number of aromatic carbocycles RDKit 2
Number of aromatic heterocycles RDKit 0
Number of aromatic rings RDKit 2
Total number of rings RDKit 5
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 5


Echinacoside
Drug-likeness properties
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 0.0541


Echinacoside
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 -12.59
Number of PAINS structural alerts SwissADME 1.0
Number of Brenk structural alerts SwissADME 2.0
CYP1A2 inhibitor SwissADME No
CYP2C19 inhibitor SwissADME No
CYP2C9 inhibitor SwissADME No
CYP2D6 inhibitor SwissADME No
CYP3A4 inhibitor SwissADME No
P-glycoprotein substrate SwissADME No


Echinacoside
Predicted human target proteins
Protein identifierHGNC symbolCombined score from STITCH database
ENSP00000283916TMPRSS11D786
ENSP00000409007GDNF786
The human target proteins were predicted using STITCH, a database of Chemical-Protein interaction networks.