Predicted protein targets (top 3)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | SNCA | P37840 | 12/20 | 0.87 |
| ▸ | MAPT | P10636 | 7/20 | 0.59 |
| ▸ | APP | P05067 | 8/20 | 0.39 |
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 | |
|---|---|---|---|---|
| SCHEMBL20004518 | 0.93 | SNCA (1.00) | SNCAMAPTAPP | |
| SCHEMBL21115232 | 0.90 | SNCA (0.93) | SNCAMAPTAPP | |
| SCHEMBL22537787 | 0.89 | SNCA (0.72) | SNCAMAPTAPP | |
| SCHEMBL21115282 | 0.87 | SNCA (0.66) | SNCAMAPTAPP | |
| SCHEMBL22537835 | 0.81 | SNCA (0.77) | SNCAMAPTAPP | |
| SCHEMBL20005053 | 0.81 | SNCA (0.76) | SNCAMAPT | |
| SCHEMBL20004399 | 0.80 | SNCA (0.75) | SNCAMAPTAPP | |
| SCHEMBL22537877 | 0.80 | SNCA (0.75) | SNCAMAPTAPP | |
| SCHEMBL20004468 | 0.80 | SNCA (0.71) | SNCAMAPTAPP | |
| SCHEMBL20004669 | 0.79 | SNCA (0.73) | SNCAMAPTAPP |
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 7 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 |
| 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 |
| 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 |
| 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 3/4885APP 15/4885 |
| US-20190211011-A1 | COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES | PSEN2, SNCA, MAPT | SNCA 2/4885MAPT 3/4885APP 16/4885 |
“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.