Predicted protein targets (top 5)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | CTSD | P07339 | 3/20 | 0.41 |
| ▸ | ALDH1A1 | P00352 | 1/20 | 0.40 |
| ▸ | NPSR1 | Q6W5P4 | 1/20 | 0.39 |
| ▸ | SLC7A5 | Q01650 | 1/20 | 0.39 |
| ▸ | MME | P08473 | 1/20 | 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 | |
|---|---|---|---|---|
| SCHEMBL11035337 | 0.84 | SLC7A5 (0.41) | ALDH1A1SLC7A5MME | |
| SCHEMBL11035341 | 0.84 | SLC7A5 (0.41) | ALDH1A1SLC7A5MME | |
| SCHEMBL30015179 | 0.83 | ALDH1A1 (0.51) | ALDH1A1MME | |
| SCHEMBL30685381 | 0.80 | CTSD (0.44) | CTSD | |
| SCHEMBL23408869 | 0.77 | ALDH1A1 (0.49) | ALDH1A1NPSR1 | |
| SCHEMBL8531075 | 0.77 | ALDH1A1 (0.49) | ALDH1A1NPSR1 | |
| SCHEMBL24185850 | 0.77 | ALDH1A1 (0.49) | ALDH1A1NPSR1 | |
| SCHEMBL14376079 | 0.77 | CTSD (0.37) | CTSD | |
| SCHEMBL23544660 | 0.76 | MME (0.40) | ALDH1A1MME | |
| SCHEMBL30118087 | 0.76 | MME (0.40) | CTSDALDH1A1MME |
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 5 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| CN-117192312-B | Machine learning-based secondary alternating current cable insulation abnormality monitoring method and system | 云南电网有限责任公司 | 2024-04-19 | — | — | CN | claimed |
| CN-117192312-A | Machine learning-based secondary alternating current cable insulation abnormality monitoring method and system | 云南电网有限责任公司 | 2023-12-08 | — | — | CN | claimed |
| CN-117192312-B | Machine learning-based secondary alternating current cable insulation abnormality monitoring method and system | 云南电网有限责任公司 | 2024-04-19 | — | — | CN | disclosed |
| CN-117192312-A | Machine learning-based secondary alternating current cable insulation abnormality monitoring method and system | 云南电网有限责任公司 | 2023-12-08 | — | — | CN | disclosed |
| US-20230218629-A1 | THERAPEUTIC COMPOSITIONS AND METHODS FOR PREVENTION AND TREATMENT OF DIASTOLIC DYSFUNCTION | Ambetex Pty Ltd (AU) | 2023-07-13 | — | — | 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-20230218629-A1 | THERAPEUTIC COMPOSITIONS AND METHODS FOR PREVENTION AND TREATMENT OF DIASTOLIC DYSFUNCTION | TNNI3, TNNT2, TNNC1 | CTSD 354/4885ALDH1A1 3848/4885NPSR1 3452/4885 |
“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.