Predicted protein targets (top 8)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | ALDH1A1 | P00352 | 1/20 | 0.38 |
| ▸ | LMNA | P02545 | 1/20 | 0.38 |
| ▸ | CYP3A4 | P08684 | 1/20 | 0.38 |
| ▸ | TDP1 | Q9NUW8 | 1/20 | 0.38 |
| ▸ | GAPDH | P04406 | 2/20 | 0.36 |
| ▸ | TRPA1 | O75762 | 1/20 | 0.36 |
| ▸ | DDAH1 | O94760 | 1/20 | 0.36 |
| ▸ | MAPT | P10636 | 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 | |
|---|---|---|---|---|
| SCHEMBL29619785 | 0.82 | ALDH1A1 (0.41) | ALDH1A1LMNACYP3A4TDP1 | |
| SCHEMBL225537 | 0.82 | ALDH1A1 (0.41) | ALDH1A1LMNACYP3A4TDP1 | |
| SCHEMBL1171382 | 0.76 | ALDH1A1 (0.39) | ALDH1A1LMNACYP3A4TDP1 | |
| SCHEMBL21464161 | 0.76 | ALDH1A1 (0.41) | ALDH1A1LMNACYP3A4TDP1 | |
| SCHEMBL11029225 | 0.74 | CYP3A4 (0.38) | ALDH1A1LMNACYP3A4TDP1 | |
| SCHEMBL10865418 | 0.73 | ALDH1A1 (0.34) | ALDH1A1LMNACYP3A4TDP1 | |
| SCHEMBL20819487 | 0.71 | CYP3A4 (0.52) | ALDH1A1LMNACYP3A4TDP1 | |
| SCHEMBL6798521 | 0.71 | ALDH1A1 (0.40) | ALDH1A1LMNACYP3A4TDP1 | |
| SCHEMBL113867 | 0.71 | CYP3A4 (0.52) | ALDH1A1LMNACYP3A4TDP1 | |
| SCHEMBL1783759 | 0.71 | GAPDH (0.39) | LMNAGAPDHTRPA1DDAH1MAPT |
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 14 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| US-11921105-B2 | Method for identifying positive allosteric modulators for odorant receptors | FIRMENICH SA (CH) | 2024-03-05 | — | — | US | claimed |
| US-20200408738-A1 | METHOD FOR IDENTIFYING POSITIVE ALLOSTERIC MODULATORS FOR ODORANT RECEPTORS | FIRMENICH SA (CH) | 2020-12-31 | — | — | US | claimed |
| EP-3703823-A1 | USE OF VOLATILE COMPOUNDS TO MODULATE THE PERCEPTION OF MUSK | Firmenich SA (CH) | 2020-09-09 | — | — | EP | claimed |
| EP-3658236-A1 | METHOD FOR IDENTIFYING POSITIVE ALLOSTERIC MODULATORS FOR ODORANT RECEPTORS | Firmenich SA (CH) | 2020-06-03 | — | — | EP | claimed |
| CN-111050856-A | Methods of identifying positive allosteric modulators of odorant receptors | 弗门尼舍有限公司 | 2020-04-21 | — | — | CN | claimed |
| CN-111050856-B | Methods for identifying positive allosteric modulators of odorant receptors | 弗门尼舍有限公司 | 2024-12-31 | — | — | CN | disclosed |
| US-11921105-B2 | Method for identifying positive allosteric modulators for odorant receptors | FIRMENICH SA (CH) | 2024-03-05 | — | — | US | disclosed |
| US-20230125249-A1 | USE OF VOLATILE COMPOUNDS TO MODULATE THE PERCEPTION OF MUSK | FIRMENICH SA (CH) | 2023-04-27 | — | — | US | disclosed |
| US-11530366-B2 | Use of volatile compounds to modulate the perception of musk | FIRMENICH SA (CH) | 2022-12-20 | — | — | US | disclosed |
| US-20200408738-A1 | METHOD FOR IDENTIFYING POSITIVE ALLOSTERIC MODULATORS FOR ODORANT RECEPTORS | FIRMENICH SA (CH) | 2020-12-31 | — | — | US | disclosed |
| US-20200385648-A1 | USE OF VOLATILE COMPOUNDS TO MODULATE THE PERCEPTION OF MUSK | FIRMENICH, SA (CH) | 2020-12-10 | — | — | US | disclosed |
| EP-3703823-A1 | USE OF VOLATILE COMPOUNDS TO MODULATE THE PERCEPTION OF MUSK | Firmenich SA (CH) | 2020-09-09 | — | — | EP | disclosed |
| EP-3658236-A1 | METHOD FOR IDENTIFYING POSITIVE ALLOSTERIC MODULATORS FOR ODORANT RECEPTORS | Firmenich SA (CH) | 2020-06-03 | — | — | EP | disclosed |
| CN-111050856-A | Methods of identifying positive allosteric modulators of odorant receptors | 弗门尼舍有限公司 | 2020-04-21 | — | — | CN | 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 (3 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-11530366-B2 | Use of volatile compounds to modulate the perception of musk | TRPA1, CMPK1, PLK3 | ALDH1A1 2415/4885LMNA 1412/4885CYP3A4 1400/4885 |
| US-20200385648-A1 | USE OF VOLATILE COMPOUNDS TO MODULATE THE PERCEPTION OF MUSK | TRPA1, CMPK1, PLK3 | ALDH1A1 2415/4885LMNA 1412/4885CYP3A4 1400/4885 |
| US-20230125249-A1 | USE OF VOLATILE COMPOUNDS TO MODULATE THE PERCEPTION OF MUSK | TRPA1, TRPM5, TRPM8 | ALDH1A1 3170/4885LMNA 1504/4885CYP3A4 1581/4885 |
“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.