IMPPAT Phytochemical information: 
beta-Carotene

beta-Carotene
Summary

SMILES: C/C(=CC=CC=C(C=CC=C(C=CC1=C(C)CCCC1(C)C)/C)/C)/C=C/C=C(/C=C/C1=C(C)CCCC1(C)C)C
InChI: InChI=1S/C40H56/c1-31(19-13-21-33(3)25-27-37-35(5)23-15-29-39(37,7)8)17-11-12-18-32(2)20-14-22-34(4)26-28-38-36(6)24-16-30-40(38,9)10/h11-14,17-22,25-28H,15-16,23-24,29-30H2,1-10H3/b12-11+,19-13+,20-14+,27-25+,28-26+,31-17+,32-18+,33-21+,34-22+
InChIKey: OENHQHLEOONYIE-JLTXGRSLSA-N
DeepSMILES: C/C=CC=CC=CC=CC=CC=CC=CC)CCCC6C)C)))))))))/C)))))/C))))))/C=C/C=C/C=C/C=CC)CCCC6C)C)))))))))C
Scaffold Graph/Node/Bond level: C(=CC=CC=CC=CC=CC1=CCCCC1)C=CC=CC=CC=CC1=CCCCC1
Scaffold Graph/Node level: C(CCCCCCCCCC1CCCCC1)CCCCCCCCC1CCCCC1
Scaffold Graph level: C(CCCCCCCCCC1CCCCC1)CCCCCCCCC1CCCCC1
Functional groups: CC(C)=C(C)/C=C/C(C)=C/C=C/C(C)=C/C=C/C=C(C)/C=C/C=C(C)/C=C/C(C)=C(C)C
Chemical classification
ClassyFire Kingdom: Organic compounds
ClassyFire Superclass: Lipids and lipid-like molecules
ClassyFire Class: Prenol lipids
ClassyFire Subclass: Tetraterpenoids
NP Classifier Biosynthetic pathway: Terpenoids
NP Classifier Superclass: Carotenoids (C40)
NP Classifier Class: Carotenoids (C40, β-β)
Synonymous chemical names:
(-) carotene, beta -carotene, beta carotene, beta-carotene, carotene, beta, neo beta carotene, pro-vitamin a, provitamin a, β-carotene
External chemical identifiers:
CID:5280489; ChEMBL:CHEMBL1293; ChEBI:17579; ZINC:ZINC000006845076; FDASRS:01YAE03M7J; SureChEMBL:SCHEMBL6151; MolPort-001-785-959
Chemical structure download


beta-Carotene
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


beta-Carotene
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 4
Ghose filter RDKit Failed
Veber filter RDKit Good
Pfizer 3/75 filter RDKit Bad
GSK 4/400 filter RDKit Bad
Weighted quantitative estimate of drug-likeness (QEDw) score RDKit 0.2435


beta-Carotene
ADMET properties
Property nameToolProperty value
Bioavailability score SwissADME 0.55
Solubility class [ESOL] SwissADME Moderately soluble
Solubility class [Silicos-IT] SwissADME Moderately soluble
Blood Brain Barrier permeation SwissADME No
Gastrointestinal absorption SwissADME High
Log Kp (Skin permeation, cm/s) SwissADME -6.39
Number of PAINS structural alerts SwissADME 0.0
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 Yes
P-glycoprotein substrate SwissADME No


beta-Carotene
Predicted human target proteins
Protein identifierHGNC symbolCombined score from STITCH database
ENSP00000215832MAPK1723
ENSP00000231004LOX814
ENSP00000232217RBP2927
ENSP00000258168BCMO1987
ENSP00000261693SCARB1840
ENSP00000263025MAPK3700
ENSP00000283916TMPRSS11D786
ENSP00000306397UQCRFS1775
ENSP00000311492ISX732
ENSP00000336528NR1I2775
ENSP00000337915CYP3A4737
ENSP00000346839FN1800
ENSP00000350314BCO2972
ENSP00000354554MT-CYB730
ENSP00000369050CYP1A1767
The human target proteins were predicted using STITCH, a database of Chemical-Protein interaction networks.