SCHEMBL3087634

SCHEMBL3087634

O=C(NCc1nn(-c2ccc(Cl)cc2Cl)c(-c2ccc(Br)[se]2)c1Br)C1CCCC1

nearest known ligand 0.49

Predicted protein targets (top 4)

geneUniProtsupporting neighboursconfidence
CNR1 P21554 8/20 0.47
OPRL1 P41146 2/20 0.42
KCNH2 Q12809 1/20 0.42
CNR2 P34972 1/20 0.42

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
SCHEMBL3089140 0.99 CNR1 (0.49) CNR1OPRL1KCNH2CNR2
SCHEMBL3096369 0.87 CNR1 (0.49) CNR1OPRL1KCNH2CNR2
SCHEMBL3092984 0.84 ALOX12 (0.49) CNR1OPRL1KCNH2CNR2
SCHEMBL3087636 0.82 CNR1 (0.47) CNR1OPRL1KCNH2
SCHEMBL3096422 0.82 CNR2 (0.48) CNR1CNR2
SCHEMBL3089142 0.82 CNR1 (0.49) CNR1OPRL1KCNH2
SCHEMBL3103712 0.79 OPRL1 (0.39) CNR1OPRL1KCNH2CNR2
SCHEMBL3096097 0.78 CNR2 (0.61) CNR1CNR2
SCHEMBL3098045 0.78 CNR2 (0.62) CNR1CNR2
SCHEMBL3099899 0.78 CNR2 (0.62) CNR1CNR2

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-7803799-B2 such as 1-(2,4-dichlorophenyl)-N-(piperidin-1-yl)-5-(selenophen-2-yl)-1H-pyrazole-3-carboxamide, used for treating cannabinoid-receptor mediated disorders selected from obesity, metabolic syndrome, drug abuse and dependence or neuropathic pain NATIONAL HEALTH RESEARCH INSTITUTES (TW) 2010-09-28 US disclosed
US-20080021031-A1 SELENOPHENE COMPOUNDS NATIONAL HEALTH RESEARCH INSTITUTE (TW) 2008-01-24 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-20080021031-A1 SELENOPHENE COMPOUNDS CNR2, CNR1, SELENOI CNR1 2/4885OPRL1 14/4885KCNH2 3042/4885

“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.