SCHEMBL4012629

SCHEMBL4012629

CCCc1cc(C(=O)CC)cc(CCC)c1OC(C(=O)O)c1ccc(OC(C)C)cc1

nearest known ligand 1.00 ✓ in ChEMBL — recovers established targets

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
PPARA Q07869 20/20 1.00
PPARG P37231 17/20 1.00

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
SCHEMBL4019133 0.90 PPARA (0.82) PPARAPPARG
SCHEMBL4019100 0.90 PPARA (1.00) PPARAPPARG
SCHEMBL4017498 0.87 PPARA (1.00) PPARAPPARG
SCHEMBL4013093 0.79 PPARA (0.80) PPARAPPARG
SCHEMBL4012801 0.78 PPARA (0.77) PPARAPPARG
SCHEMBL13924142 0.78 PPARA (0.77) PPARAPPARG
SCHEMBL4013883 0.78 PPARA (0.82) PPARAPPARG
SCHEMBL7332649 0.77 PPARA (0.81) PPARAPPARG
SCHEMBL13924227 0.76 PPARA (0.76) PPARAPPARG
SCHEMBL4011925 0.74 PPARG (0.71) PPARAPPARG

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-7495020-B2 2-aryloxy-2-arylalkanoic acids for diabetes and lipid disorders MERCK & CO., INC. (US) 2009-02-24 US claimed
US-20060122242-A1 2-Aryloxy-2-arylalkanoic acids for diabetes and lipid disorders MERCK SHARP & DOHME CORP. 2006-06-08 US claimed
EP-1366012-A4 2-ARYLOXY-2-ARYLALKANOIC ACIDS FOR DIABETES AND LIPID DISORDERS MERCK & CO INC (US) 2005-11-02 EP claimed
US-20040092596-A1 2-Aryloxy-2arylalkanoic acids for diabetes and lipid disorders MERCK SHARP & DOHME CORP. 2004-05-13 US claimed
EP-1366012-A2 2-ARYLOXY-2-ARYLALKANOIC ACIDS FOR DIABETES AND LIPID DISORDERS Merck & Co., Inc. (US) 2003-12-03 EP claimed
WO-2002064094-A2 2-ARYLOXY-2-ARYLALKANOIC ACIDS FOR DIABETES AND LIPID DISORDERS MERCK & CO., INC. (US) 2002-08-22 WO claimed
US-7495020-B2 2-aryloxy-2-arylalkanoic acids for diabetes and lipid disorders MERCK & CO., INC. (US) 2009-02-24 US disclosed
US-7495020-B2 2-aryloxy-2-arylalkanoic acids for diabetes and lipid disorders MERCK & CO., INC. (US) 2009-02-24 US disclosed
US-7091230-B2 2-aryloxy-2-arylalkanoic acids for diabetes and lipid disorders MERCK & CO., INC. (US) 2006-08-15 US disclosed
US-20060122242-A1 2-Aryloxy-2-arylalkanoic acids for diabetes and lipid disorders MERCK SHARP & DOHME CORP. 2006-06-08 US disclosed
EP-1366012-A4 2-ARYLOXY-2-ARYLALKANOIC ACIDS FOR DIABETES AND LIPID DISORDERS MERCK & CO INC (US) 2005-11-02 EP disclosed
US-20040092596-A1 2-Aryloxy-2arylalkanoic acids for diabetes and lipid disorders MERCK SHARP & DOHME CORP. 2004-05-13 US disclosed
EP-1366012-A2 2-ARYLOXY-2-ARYLALKANOIC ACIDS FOR DIABETES AND LIPID DISORDERS Merck & Co., Inc. (US) 2003-12-03 EP disclosed
WO-2002064094-A2 2-ARYLOXY-2-ARYLALKANOIC ACIDS FOR DIABETES AND LIPID DISORDERS MERCK & CO., INC. (US) 2002-08-22 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 (2 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-20060122242-A1 2-Aryloxy-2-arylalkanoic acids for diabetes and lipid disorders PPARA, PPARG, PPARD PPARA 1/4885PPARG 2/4885
US-20040092596-A1 2-Aryloxy-2arylalkanoic acids for diabetes and lipid disorders PPARA, PPARG, PPARD PPARA 1/4885PPARG 2/4885

“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.