SCHEMBL22229810

SCHEMBL22229810

COCOc1c(Cc2ccc(OC)cc2)cc2c(c1-c1c3c(cc(Cc4ccc(OC)cc4)c1OCOC)CCCC3)CCCC2

nearest known ligand 0.39

Predicted protein targets (top 7)

geneUniProtsupporting neighboursconfidence
SLC5A2 P31639 11/20 0.39
SLC5A1 P13866 8/20 0.36
LTA4H P09960 2/20 0.36
NLRP3 Q96P20 1/20 0.36
PDE3B Q13370 1/20 0.34
PDE3A Q14432 1/20 0.34
PDE10A Q9Y233 1/20 0.34

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
SCHEMBL22229716 0.79 SLC5A2 (0.43) SLC5A2SLC5A1LTA4H
SCHEMBL25485052 0.76 LMNA (0.37) SLC5A2
SCHEMBL22229675 0.73 ALDH1A1 (0.33)
SCHEMBL22229687 0.71 GPR84 (0.41) SLC5A2SLC5A1NLRP3
SCHEMBL28180657 0.69 CUL4A (0.45)
SCHEMBL22229797 0.68 DRD2 (0.35)
SCHEMBL28281720 0.68 SLC5A2 (0.47) SLC5A2SLC5A1LTA4H
SCHEMBL22256340 0.68 MEN1 (0.34)
SCHEMBL14617078 0.68 MEN1 (0.39) NLRP3
SCHEMBL22229733 0.68 CYP11B2 (0.37) NLRP3

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 3 patents. 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
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
US-20200234798-A1 EXTRAPOLATIVE PREDICTION OF ENANTIOSELECTIVITY ENABLED BY COMPUTER-DRIVEN WORKFLOW, NEW MOLECULAR REPRESENTATIONS AND MACHINE LEARNING THE BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOIS 2020-07-23 US disclosed