SCHEMBL25485142

SCHEMBL25485142

Cc1ccccc1-c1cc2ccccc2c(-c2c(O)c(-c3ccccc3C)cc3ccccc23)c1O

nearest known ligand 0.44

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
NQO1 P15559 1/20 0.44
CYP2A6 P11509 2/20 0.41
CYP1A2 P05177 2/20 0.41
ALDH1A1 P00352 4/20 0.41
HPGD P15428 3/20 0.41
HSD17B10 Q99714 3/20 0.41
LMNA P02545 1/20 0.40
HTT P42858 1/20 0.40
ALOX5 P09917 1/20 0.40
GPR84 Q9NQS5 2/20 0.39
MEN1 O00255 1/20 0.39
MAPT P10636 1/20 0.39
KMT2A Q03164 1/20 0.39
TSHR P16473 1/20 0.39
MAPK1 P28482 1/20 0.39
CASP1 P29466 1/20 0.39
HIF1A Q16665 1/20 0.39
L3MBTL1 Q9Y468 1/20 0.39
TRPM4 Q8TD43 1/20 0.38
PKM P14618 1/20 0.38

Click a target to see other patent compounds predicted against it — the reverse direction, in place.

Similar compounds — the chemically nearest patent molecules

Nearest neighbours by Morgan-fingerprint cosine across the patent-compound collection, with each neighbour's top predicted target and the predicted targets it shares with this molecule.

Compoundsimilaritytop predictedshared targets
SCHEMBL13400328 0.92 MEN1 (0.46) NQO1ALDH1A1HPGDALOX5GPR84
SCHEMBL14193455 0.91 MEN1 (0.52) NQO1CYP2A6CYP1A2ALDH1A1HPGD
SCHEMBL14327757 0.90 ALDH1A1 (0.42) NQO1CYP2A6CYP1A2ALDH1A1HPGD
SCHEMBL14327786 0.87 GPR84 (0.40) NQO1CYP2A6CYP1A2ALDH1A1HPGD
SCHEMBL14327813 0.83 CYP1A2 (0.52) NQO1CYP2A6CYP1A2ALDH1A1LMNA
SCHEMBL28436429 0.82 ALDH1A1 (0.44) NQO1CYP2A6CYP1A2ALDH1A1HPGD
SCHEMBL12786270 0.81 NQO1 (0.46) NQO1CYP1A2ALDH1A1HPGDHSD17B10
SCHEMBL14327814 0.81 CYP1A2 (0.46) NQO1CYP2A6CYP1A2ALDH1A1HPGD
SCHEMBL18912097 0.81 TRPM4 (0.54) NQO1ALDH1A1HPGDHSD17B10ALOX5
SCHEMBL22229656 0.81 CYP1A2 (0.53) NQO1CYP2A6CYP1A2ALDH1A1HPGD

Similarity is cosine over the 2,048-bit Morgan fingerprint (≈ Tanimoto). Identical fingerprints score 1.00.

Patent provenance — the patents this molecule appears in, and who filed them

Claimed or disclosed in 1 patent. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-11664093-B2 Extrapolative prediction of enantioselectivity enabled by computer-driven workflow, new molecular representations and machine learning THE BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOIS (US) 2023-05-30 US disclosed