SCHEMBL22767477

SCHEMBL22767477

CC(C)c1cc(F)nc(F)c1F

nearest known ligand 0.31

Predicted protein targets (top 5)

geneUniProtsupporting neighboursconfidence
EIF4A3 P38919 1/20 0.31
ANPEP P15144 1/20 0.31
DPP4 P27487 1/20 0.31
CA1 P00915 1/20 0.30
CA2 P00918 1/20 0.30

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
SCHEMBL25897510 0.80 EIF4A3 (0.30) EIF4A3
SCHEMBL4734695 0.70 EIF4A3 (0.32) EIF4A3CA1CA2
SCHEMBL22020969 0.70 GCGR (0.33)
SCHEMBL26959475 0.69 EIF4A3 (0.38) EIF4A3ANPEPDPP4CA1CA2
SCHEMBL1099817 0.69 KMT2A (0.30)
SCHEMBL20698992 0.68 P2RX3 (0.31)
SCHEMBL20681209 0.68 GABRA1 (0.33)
SCHEMBL25938564 0.68 GABRA1 (0.33)
SCHEMBL25938570 0.68 GABRA1 (0.33)
SCHEMBL21736880 0.68

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 5 patents. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-11912686-B2 LPA receptor antagonists and uses thereof GILEAD SCIENCES, INC. (US) 2024-02-27 US disclosed
US-20230212151-A1 LPA RECEPTOR ANTAGONISTS AND USES THEREOF GILEAD SCIENCES, INC. 2023-07-06 US disclosed
US-11584738-B2 LPA receptor antagonists and uses thereof GILEAD SCIENCES, INC. (US) 2023-02-21 US disclosed
WO-2022117783-A1 BICYCLIC DERIVATIVES ELANCO TIERGESUNDHEIT AG (CH) 2022-06-09 WO disclosed
WO-2020247747-A1 BICYCLIC DERIVATIVES FOR TREATING ENDOPARASITES ELANCO TIERGESUNDHEIT AG (CH) 2020-12-10 WO disclosed

Patent text — is the patent's own abstract consistent with the prediction?

For each of this compound's patents that has machine-readable text (3 of them — usually the abstract, not the full specification), we ask MedCPT which protein the text reads most about, and where the chemistry-predicted target lands among 4885 human targets. A high rank means the patent's own wording is consistent with the prediction — a weak, independent signal, not proof of activity.

PatentTitleText reads most aboutPredicted target · text-rank
US-11584738-B2 LPA receptor antagonists and uses thereof LPAR1, LPAR2, LPAR4 EIF4A3 4834/4885ANPEP 1876/4885DPP4 1763/4885
US-20230212151-A1 LPA RECEPTOR ANTAGONISTS AND USES THEREOF LPAR1, LPAR2, LPAR4 EIF4A3 4834/4885ANPEP 1876/4885DPP4 1763/4885
US-11912686-B2 LPA receptor antagonists and uses thereof LPAR1, LPAR2, LPAR4 EIF4A3 4834/4885ANPEP 1876/4885DPP4 1763/4885

“Text reads most about” is the patent abstract's nearest protein in MedCPT space (background-debiased). Only ~1.4% of patents have machine-readable text, so most compounds won't have this panel.