Predicted protein targets (top 2)
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.
| Compound | similarity | top predicted | shared targets | |
|---|---|---|---|---|
| SCHEMBL3096422 | 0.83 | CNR2 (0.48) | CNR2CNR1 | |
| SCHEMBL3096377 | 0.83 | CNR1 (0.49) | CNR2CNR1 | |
| SCHEMBL3087636 | 0.81 | CNR1 (0.47) | CNR1 | |
| SCHEMBL3089142 | 0.81 | CNR1 (0.49) | CNR1 | |
| SCHEMBL3103717 | 0.80 | OPRL1 (0.39) | CNR2CNR1 | |
| SCHEMBL3087787 | 0.78 | CNR2 (0.64) | CNR2CNR1 | |
| SCHEMBL3092996 | 0.76 | ALOX12 (0.49) | CNR2CNR1 | |
| SCHEMBL3103498 | 0.76 | OPRL1 (0.37) | CNR2CNR1 | |
| SCHEMBL3096389 | 0.75 | KDM4E (0.52) | CNR2CNR1 | |
| SCHEMBL3094652 | 0.74 | CNR2 (0.46) | 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.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| 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.
| Patent | Title | Text reads most about | Predicted target · text-rank |
|---|---|---|---|
| US-20080021031-A1 | SELENOPHENE COMPOUNDS | CNR2, CNR1, SELENOI | CNR2 1/4885CNR1 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.