Predicted protein targets (top 5)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | MAPT | P10636 | 3/20 | 0.44 |
| ▸ | SNCA | P37840 | 2/20 | 0.44 |
| ▸ | APP | P05067 | 8/20 | 0.41 |
| ▸ | HDAC8 | Q9BY41 | 2/20 | 0.33 |
| ▸ | SLC6A4 | P31645 | 1/20 | 0.31 |
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 | |
|---|---|---|---|---|
| SCHEMBL21115295 | 0.82 | SLC6A4 (0.38) | MAPTSNCAHDAC8SLC6A4 | |
| SCHEMBL5776229 | 0.81 | APP (0.46) | MAPTSNCAAPP | |
| SCHEMBL12694260 | 0.81 | L3MBTL1 (0.43) | MAPTAPPHDAC8SLC6A4 | |
| SCHEMBL19543257 | 0.79 | MAPT (0.51) | MAPTHDAC8SLC6A4 | |
| SCHEMBL16328952 | 0.78 | BRAF (0.35) | HDAC8SLC6A4 | |
| SCHEMBL19035846 | 0.77 | MAPT (0.45) | MAPT | |
| SCHEMBL22537662 | 0.76 | HDAC8 (0.35) | APPHDAC8SLC6A4 | |
| SCHEMBL22537610 | 0.75 | ALDH1A1 (0.48) | MAPTSNCAAPP | |
| SCHEMBL12086382 | 0.75 | ALOX15 (0.33) | MAPTAPP | |
| SCHEMBL20004587 | 0.74 | PYCR1 (0.47) | — |
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 | MAPT 3/4885SNCA 4/4885APP 15/4885 |
| US-20190211011-A1 | COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES | PSEN2, SNCA, MAPT | MAPT 3/4885SNCA 2/4885APP 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.