SCHEMBL3100709

SCHEMBL3100709

CNc1nn(-c2ccc(Cl)cc2Cl)c(C2=CC=C(Br)[SeH2]2)c1Br

nearest known ligand 0.39

Predicted protein targets (top 6)

geneUniProtsupporting neighboursconfidence
CNR2 P34972 8/20 0.39
CNR1 P21554 7/20 0.39
PKM P14618 1/20 0.37
OPRL1 P41146 2/20 0.36
KCNH2 Q12809 1/20 0.36
PPARA Q07869 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
SCHEMBL3103717 0.79 OPRL1 (0.39) CNR2CNR1OPRL1KCNH2
SCHEMBL3094652 0.78 CNR2 (0.46) CNR2CNR1PPARA
SCHEMBL3100716 0.77 CNR2 (0.39) CNR2CNR1PKMOPRL1KCNH2
SCHEMBL3103498 0.76 OPRL1 (0.37) CNR2CNR1OPRL1KCNH2PPARA
SCHEMBL3096389 0.75 KDM4E (0.52) CNR2CNR1PPARA
SCHEMBL3084273 0.74 CNR2 (0.54) CNR2CNR1PPARA
SCHEMBL3096122 0.74 CNR2 (0.43) CNR2CNR1
SCHEMBL3096430 0.73 CNR2 (0.47) CNR2CNR1
SCHEMBL3087787 0.73 CNR2 (0.64) CNR2CNR1
SCHEMBL3222584 0.73 CNR1 (0.43) CNR2CNR1

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 CNR2 1/4885CNR1 2/4885PKM 3615/4885

“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.