SCHEMBL31700804

SCHEMBL31700804

CN(C)C(=O)c1ccc(C2=CC(=O)N(C(=O)OC(C)(C)C)CC2)cc1

nearest known ligand 0.43

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
GPR119 Q8TDV5 19/20 0.43
USP30 Q70CQ3 1/20 0.43

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
SCHEMBL29079980 0.82 PDK4 (0.43) GPR119USP30
SCHEMBL31700404 0.77 NAMPT (0.56) GPR119USP30
SCHEMBL31701627 0.75 GPR119 (0.44) GPR119USP30
SCHEMBL25320664 0.72 ESR2 (0.40) GPR119
SCHEMBL18190493 0.71 MEN1 (0.43)
SCHEMBL24131013 0.71 ESR2 (0.36) GPR119
SCHEMBL30679306 0.71 ADORA1 (0.41) GPR119USP30
SCHEMBL22439007 0.71 THRA (0.35)
SCHEMBL30293107 0.71 THRA (0.35)
SCHEMBL31701420 0.71 GPR119 (0.47) GPR119USP30

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20260014147-A1 STAT6 DEGRADERS GILEAD SCIENCES INC (US) 2026-01-15 US disclosed
US-20260001893-A1 SMALL MOLECULE MODULATORS OF STAT6 GILEAD SCIENCES INC (US) 2026-01-01 US disclosed
US-20250340551-A1 SMALL MOLECULE MODULATORS OF STAT6 GILEAD SCIENCES INC (US) 2025-11-06 US disclosed
US-20250325677-A1 STAT6 DEGRADERS GILEAD SCIENCES INC (US) 2025-10-23 US disclosed
US-20250320206-A1 STAT6 DEGRADERS GILEAD SCIENCES INC (US) 2025-10-16 US disclosed
US-20250320205-A1 STAT6 DEGRADERS GILEAD SCIENCES INC (US) 2025-10-16 US 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 (6 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-20250325677-A1 STAT6 DEGRADERS STAT6, STAT5B, STAT1 GPR119 1280/4885USP30 1139/4885
US-20250340551-A1 SMALL MOLECULE MODULATORS OF STAT6 STAT6, STAT1, STAT5B GPR119 1084/4885USP30 2781/4885
US-20260001893-A1 SMALL MOLECULE MODULATORS OF STAT6 STAT6, NCOR1, NCOR2 GPR119 428/4885USP30 3903/4885
US-20250320205-A1 STAT6 DEGRADERS STAT6, STAT1, STAT5B GPR119 1588/4885USP30 1157/4885
US-20260014147-A1 STAT6 DEGRADERS STAT6, NCOR1, CBR1 GPR119 610/4885USP30 1865/4885
US-20250320206-A1 STAT6 DEGRADERS STAT6, STAT5B, STAT1 GPR119 1280/4885USP30 1139/4885

“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.