SCHEMBL3202536

SCHEMBL3202536

CCOC(=O)CCc1cc(OCC(=O)O)nn1Cc1ccc(Cl)cc1Cl

nearest known ligand 0.62

Predicted protein targets (top 4)

geneUniProtsupporting neighboursconfidence
PPARG P37231 18/20 0.62
SLC16A3 O15427 1/20 0.46
SLC16A1 P53985 1/20 0.46
MCTS1 Q9ULC4 1/20 0.46

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
SCHEMBL5112301 0.89 PPARG (0.58) PPARG
SCHEMBL5112614 0.89 PPARG (0.62) PPARG
SCHEMBL3204437 0.89 PPARG (0.54) PPARG
SCHEMBL3212765 0.89 PPARG (0.68) PPARG
SCHEMBL3216227 0.88 PPARG (0.55) PPARG
SCHEMBL3211525 0.88 PPARG (0.67) PPARG
SCHEMBL3210492 0.88 PPARG (0.66) PPARG
SCHEMBL3216029 0.85 PPARG (0.78) PPARG
SCHEMBL3217811 0.84 PPARG (0.55) PPARG
SCHEMBL3219225 0.84 PPARG (0.68) PPARG

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-20100041892-A1 Therapeutic agent for diabetes ABE HIDENORI 2010-02-18 US disclosed
US-20090270631-A1 Therapeutic agent for diabetes ABE HIDENORI 2009-10-29 US disclosed
EP-1912645-A2 THERAPEUTIC AGENT FOR DIABETES Takeda Pharmaceutical Company Limited (JP) 2008-04-23 EP disclosed
US-20080009530-A1 Therapeutic Agent for Diabetes TAKEDA PHARMACEUTICAL COMPANY LIMITED (JP) 2008-01-10 US disclosed
WO-2007018314-A2 THERAPEUTIC AGENT FOR DIABETES TAKEDA PHARMACEUTICAL COMPANY LIMITED (JP) 2007-02-15 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-20090270631-A1 Therapeutic agent for diabetes FABP4, SLC5A1, SLC5A2 PPARG 31/4885SLC16A3 365/4885SLC16A1 272/4885
US-20080009530-A1 Therapeutic Agent for Diabetes FABP4, SLC5A1, SLC5A2 PPARG 30/4885SLC16A3 341/4885SLC16A1 191/4885
US-20100041892-A1 Therapeutic agent for diabetes FABP4, SLC5A1, SLC5A2 PPARG 31/4885SLC16A3 365/4885SLC16A1 272/4885

“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.