Predicted protein targets (top 20)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | SNCA | P37840 | 12/20 | 1.00 |
| ▸ | MAPT | P10636 | 11/20 | 1.00 |
| ▸ | TP53 | P04637 | 1/20 | 0.41 |
| ▸ | KDM4E | B2RXH2 | 5/20 | 0.37 |
| ▸ | ALDH1A1 | P00352 | 4/20 | 0.37 |
| ▸ | RAB9A | P51151 | 3/20 | 0.37 |
| ▸ | SMN1; SMN2 | Q16637 | 3/20 | 0.37 |
| ▸ | MEN1 | O00255 | 3/20 | 0.37 |
| ▸ | KMT2A | Q03164 | 3/20 | 0.37 |
| ▸ | NPC1 | O15118 | 2/20 | 0.37 |
| ▸ | RXFP1 | Q9HBX9 | 2/20 | 0.37 |
| ▸ | NFKB1 | P19838 | 2/20 | 0.37 |
| ▸ | NFKB2 | Q00653 | 2/20 | 0.37 |
| ▸ | RELA | Q04206 | 2/20 | 0.37 |
| ▸ | HCRTR1 | O43613 | 1/20 | 0.37 |
| ▸ | GAA | P10253 | 1/20 | 0.37 |
| ▸ | CASP3 | P42574 | 1/20 | 0.37 |
| ▸ | SENP7 | Q9BQF6 | 1/20 | 0.37 |
| ▸ | HSD17B10 | Q99714 | 1/20 | 0.36 |
| ▸ | LMNA | P02545 | 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.
| Compound | similarity | top predicted | shared targets | |
|---|---|---|---|---|
| SCHEMBL20004997 | 0.80 | SNCA (1.00) | SNCAMAPTNPC1 | |
| SCHEMBL21147290 | 0.76 | SNCA (0.72) | SNCAMAPTRAB9ANPC1RXFP1 | |
| SCHEMBL21115264 | 0.76 | SNCA (1.00) | SNCAMAPTRAB9ANPC1RXFP1 | |
| SCHEMBL20004677 | 0.76 | SNCA (1.00) | SNCAMAPT | |
| SCHEMBL20004389 | 0.74 | SNCA (1.00) | SNCAMAPTKDM4E | |
| SCHEMBL20004550 | 0.74 | SNCA (1.00) | SNCAMAPT | |
| SCHEMBL22537877 | 0.68 | SNCA (0.75) | SNCAMAPT | |
| SCHEMBL22537537 | 0.68 | SNCA (0.61) | SNCAMAPT | |
| SCHEMBL22537668 | 0.67 | SNCA (0.58) | SNCAMAPTRAB9ANPC1RXFP1 | |
| SCHEMBL20005008 | 0.67 | MAPT (0.51) | SNCAMAPTTP53KDM4EALDH1A1 |
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 4 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| US-10906900-B2 | Compounds for using in imaging and particularly for the diagnosis of neurodegenerative diseases | CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (FR) | 2021-02-02 | — | — | US | disclosed |
| EP-3515912-B1 | COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES | CENTRE NAT RECH SCIENT (FR) | 2020-10-14 | — | — | EP | disclosed |
| US-20190211011-A1 | COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES | CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (FR) | 2019-07-11 | — | — | US | disclosed |
| WO-2018055316-A1 | COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES | CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (FR) | 2018-03-29 | — | — | 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.
| Patent | Title | Text reads most about | Predicted target · text-rank |
|---|---|---|---|
| US-10906900-B2 | Compounds for using in imaging and particularly for the diagnosis of neurodegenerative diseases | PSEN2, CLN6, MAPT | SNCA 4/4885MAPT 3/4885TP53 3915/4885 |
| US-20190211011-A1 | COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES | PSEN2, SNCA, MAPT | SNCA 2/4885MAPT 3/4885TP53 3694/4885 |
“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.