IMPPAT Phytochemical information: 
Ergocornine
Ergocornine
Summary

SMILES: O=C([C@H]1CN(C)[C@H]2C(=C1)c1cccc3c1c(C2)c[nH]3)N[C@@]1(O[C@@]2(N(C1=O)[C@@H](C(C)C)C(=O)N1[C@H]2CCC1)O)C(C)C
InChI: InChI=1S/C31H39N5O5/c1-16(2)26-28(38)35-11-7-10-24(35)31(40)36(26)29(39)30(41-31,17(3)4)33-27(37)19-12-21-20-8-6-9-22-25(20)18(14-32-22)13-23(21)34(5)15-19/h6,8-9,12,14,16-17,19,23-24,26,32,40H,7,10-11,13,15H2,1-5H3,(H,33,37)/t19-,23-,24+,26+,30-,31+/m1/s1
InChIKey: UJYGDMFEEDNVBF-OGGGUQDZSA-N
DeepSMILES: O=C[C@H]CNC)[C@H]C=C6)cccccc6cC%10)c[nH]5))))))))))))))N[C@@]O[C@@]NC5=O))[C@@H]CC)C))C=O)N[C@H]6CCC5))))))))O)))CC)C
Scaffold Graph/Node/Bond level: O=C(NC1OC2C3CCCN3C(=O)CN2C1=O)C1C=C2c3cccc4[nH]cc(c34)CC2NC1
Scaffold Graph/Node level: OC(NC1OC2C3CCCN3C(O)CN2C1O)C1CNC2CC3CNC4CCCC(C2C1)C34
Scaffold Graph level: CC(CC1CC2C(CC(C)C3CCCC32)C1C)C1CCC2CC3CCC4CCCC(C2C1)C43
Functional groups: CN(C)C; CN(C)C(C)=O; C[C@@]1(NC(C)=O)O[C@](C)(O)N(C)C1=O; cC(C)=CC; c[nH]c
Chemical classification
ClassyFire Kingdom: Organic compounds
ClassyFire Superclass: Alkaloids and derivatives
ClassyFire Class: Ergoline and derivatives
ClassyFire Subclass: Lysergic acids and derivatives
NP Classifier Biosynthetic pathway: Alkaloids
NP Classifier Superclass: Tryptophan alkaloids
NP Classifier Class: Ergot alkaloids
Synonymous chemical names:
ergocornine
External chemical identifiers:
CID:73453; ChEMBL:CHEMBL1385840; ChEBI:4820; ZINC:ZINC000056871297; FDASRS:7W36B25464; SureChEMBL:SCHEMBL78984
Chemical structure download
2D:2D MOL2D MOL22D SDF
3D:3D MOL3D MOL23D SDF3D PDB3D PDBQT
Ergocornine
Physicochemical properties
Property name Tool Property value
Molecular weight (g/mol) RDKit 561.68
Log P RDKit 2.04
Topological polar surface area (Å2) RDKit 118.21
Number of hydrogen bond acceptors RDKit 6
Number of hydrogen bond donors RDKit 3
Number of carbon atoms RDKit 31
Number of heavy atoms RDKit 41
Number of heteroatoms RDKit 10
Number of nitrogen atoms RDKit 5
Number of sulfur atoms RDKit 0
Number of chiral carbon atoms RDKit 6
Stereochemical complexity RDKit 0.19
Number of sp hybridized carbon atoms RDKit 0
Number of sp2 hybridized carbon atoms RDKit 13
Number of sp3 hybridized carbon atoms RDKit 18
Shape complexity RDKit 0.58
Number of rotatable bonds RDKit 2
Number of aliphatic carbocycles RDKit 1
Number of aliphatic heterocycles RDKit 4
Number of aliphatic rings RDKit 5
Number of aromatic carbocycles RDKit 1
Number of aromatic heterocycles RDKit 1
Number of aromatic rings RDKit 2
Total number of rings RDKit 7
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 7
Ergocornine
Drug-likeness properties
Property nameToolProperty value
Number of Lipinski’s rule of 5 violations RDKit 1
Lipinski’s rule of 5 filter RDKit Passed
Number of Ghose filter violations RDKit 3
Ghose filter RDKit Failed
Veber filter RDKit Good
Pfizer 3/75 filter RDKit Good
GSK 4/400 filter RDKit Bad
Weighted quantitative estimate of drug-likeness (QEDw) score RDKit 0.5261
Ergocornine
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 -7.31
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 Yes
CYP2D6 inhibitor SwissADME Yes
CYP3A4 inhibitor SwissADME Yes
P-glycoprotein substrate SwissADME Yes
Ergocornine
Predicted human target proteins
Protein identifierHGNC symbolCombined score from STITCH database
ENSP00000258400HTR2B776
ENSP00000280155ADRA2A789
ENSP00000289753HTR6776
ENSP00000354859DRD2794
ENSP00000367959HTR2A774
ENSP00000368766ADRA1D907
ENSP00000373169DRD3814
ENSP00000386069ADRA2C789
ENSP00000387281ADRA2B800
The human target proteins were predicted using STITCH, a database of Chemical-Protein interaction networks.