SCHEMBL3376824

SCHEMBL3376824

CC(C)C(Oc1cccc(Oc2ccc3c(-c4ccc(C(F)(F)F)cc4)noc3c2)c1)C(=O)O

nearest known ligand 0.42

Predicted protein targets (top 12)

geneUniProtsupporting neighboursconfidence
▸ PPARG P37231 10/20 0.42
▸ PPARA Q07869 5/20 0.41
▸ PPARD Q03181 3/20 0.41
▸ RAB9A P51151 2/20 0.39
▸ NPC1 O15118 1/20 0.39
▸ FPR2 P25090 1/20 0.38
▸ SCN9A Q15858 1/20 0.38
▸ PTPN1 P18031 2/20 0.38
▸ CSGALNACT1 Q8TDX6 1/20 0.37
▸ EPHX2 P34913 1/20 0.36
▸ ESR1 P03372 1/20 0.36
▸ ESR2 Q92731 1/20 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
SCHEMBL3374136 0.91 PPARG (0.49) PPARGPPARAPPARDRAB9ANPC1
SCHEMBL3376160 0.87 PPARG (0.52) PPARGPPARAPPARDRAB9ANPC1
SCHEMBL3376896 0.84 PPARD (0.53) PPARGPPARAPPARD
SCHEMBL13069923 0.83 PPARG (0.49) PPARGPPARAPPARDEPHX2
SCHEMBL13070053 0.81 RAB9A (0.42) PPARGPPARAPPARDRAB9ANPC1
SCHEMBL3376959 0.79 PPARG (0.46) PPARGPPARAPPARDRAB9ANPC1
SCHEMBL3376815 0.79 PPARA (0.53) PPARGPPARAPPARD
SCHEMBL3375295 0.76 PPARA (0.47) PPARGPPARAPPARDEPHX2
SCHEMBL3377036 0.75 PPARG (0.47) PPARGPPARAPPARD
SCHEMBL3377321 0.74 PPARA (0.52) PPARGPPARAPPARDRAB9ANPC1

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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