SCHEMBL3376959

SCHEMBL3376959

CCC(Oc1cccc(Oc2ccc3c(-c4ccc(C(F)(F)F)cc4)noc3c2)c1F)C(=O)O

nearest known ligand 0.46

Predicted protein targets (top 12)

geneUniProtsupporting neighboursconfidence
▸ PPARG P37231 8/20 0.46
▸ PPARA Q07869 7/20 0.42
▸ PPARD Q03181 6/20 0.42
▸ PTPN1 P18031 3/20 0.40
▸ PTGDR2 Q9Y5Y4 1/20 0.37
▸ NPC1 O15118 1/20 0.36
▸ RAB9A P51151 1/20 0.36
▸ MAPT P10636 1/20 0.36
▸ PLAU P00749 2/20 0.36
▸ PLG P00747 1/20 0.36
▸ PLAT P00750 1/20 0.36
▸ SCN9A Q15858 2/20 0.36

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
SCHEMBL3376160 0.90 PPARG (0.52) PPARGPPARAPPARDPTPN1NPC1
SCHEMBL3374136 0.79 PPARG (0.49) PPARGPPARAPPARDNPC1RAB9A
SCHEMBL3376824 0.79 PPARG (0.42) PPARGPPARAPPARDPTPN1NPC1
SCHEMBL3378337 0.78 PPARG (0.47) PPARGPPARA
SCHEMBL10663764 0.76 SMN1; SMN2 (0.45) PPARGPPARAPPARD
SCHEMBL3376896 0.74 PPARD (0.53) PPARGPPARAPPARD
SCHEMBL3376815 0.72 PPARA (0.53) PPARGPPARAPPARD
SCHEMBL13069923 0.71 PPARG (0.49) PPARGPPARAPPARDPTGDR2
SCHEMBL13070053 0.71 RAB9A (0.42) PPARGPPARAPPARDNPC1RAB9A
SCHEMBL3376978 0.69 PPARD (0.53) PPARGPPARAPPARD

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-1796665-B1 COMPOUNDS FOR THE TREATMENT OF DYSLIPIDEMIA AND OTHER LIPID DISORDERS MERCK SHARP & DOHME (US) 2010-11-17 — — EP disclosed
EP-1796665-B1 COMPOUNDS FOR THE TREATMENT OF DYSLIPIDEMIA AND OTHER LIPID DISORDERS MERCK SHARP & DOHME (US) 2010-11-17 — — EP disclosed
US-7629372-B2 Compounds for the treatment of dyslipidemia and other lipid disorders MERCK & CO., INC. (US) 2009-12-08 — — US disclosed
US-7629372-B2 Compounds for the treatment of dyslipidemia and other lipid disorders MERCK & CO., INC. (US) 2009-12-08 — — US disclosed
US-7629372-B2 Compounds for the treatment of dyslipidemia and other lipid disorders MERCK & CO., INC. (US) 2009-12-08 — — US disclosed
US-20080039514-A1 Compounds for the Treatment of Dyslipidemia and Other Lipid Disorders MERCK & CO., INC. (US) 2008-02-14 — — US disclosed
US-20080039514-A1 Compounds for the Treatment of Dyslipidemia and Other Lipid Disorders MERCK & CO., INC. (US) 2008-02-14 — — US disclosed
US-20080039514-A1 Compounds for the Treatment of Dyslipidemia and Other Lipid Disorders MERCK & CO., INC. (US) 2008-02-14 — — 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 (1 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-20080039514-A1 Compounds for the Treatment of Dyslipidemia and Other Lipid Disorders LIPA, APOB, LCAT PPARG 152/4885PPARA 111/4885PPARD 101/4885

“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.

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