SCHEMBL16144192

SCHEMBL16144192

Cc1oc(-c2ccccc2)nc1CCOc1ccc(CCO)cc1

nearest known ligand 0.71

Predicted protein targets (top 4)

geneUniProtsupporting neighboursconfidence
PPARG P37231 19/20 0.71
PPARA Q07869 15/20 0.71
PPARD Q03181 8/20 0.66
FFAR1 O14842 1/20 0.64

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
SCHEMBL5915216 0.93 PPARG (0.68) PPARGPPARAPPARDFFAR1
SCHEMBL3279259 0.91 PPARG (0.72) PPARGPPARAPPARD
SCHEMBL4746637 0.90 FFAR1 (0.77) PPARGPPARAPPARDFFAR1
SCHEMBL14382549 0.90 PPARG (0.71) PPARGPPARAPPARDFFAR1
SCHEMBL4389208 0.88 PPARG (0.79) PPARGPPARAPPARD
SCHEMBL9537307 0.88 PPARG (0.71) PPARGPPARAPPARD
SCHEMBL4029375 0.88 PPARG (0.71) PPARGPPARAPPARD
SCHEMBL3279660 0.88 PPARG (0.71) PPARGPPARAPPARD
SCHEMBL3283978 0.87 PPARG (0.77) PPARGPPARAPPARD
SCHEMBL6969645 0.87 PPARG (0.67) PPARGPPARAPPARDFFAR1

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-9132145-B2 Compositions and methods for treating obesity, obesity related disorders and for inhibiting the infectivity of human immunodeficiency virus NEW YORK UNIVERSITY (US) 2015-09-15 US disclosed
US-20140296141-A1 Compositions and Methods for Treating Obesity, Obesity Related Disorders and for Inhibiting the Infectivity of Human Immunodeficiency Virus THE GENERAL HOSPITAL CORPORATION (US) 2014-10-02 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-20140296141-A1 Compositions and Methods for Treating Obesity, Obesity Related Disorders and for Inhibiting the Infectivity of Human Immunodeficiency Virus LPL, ADIPOR2, EBP PPARG 42/4885PPARA 24/4885PPARD 43/4885

“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.