Predicted protein targets (top 18)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | SCN9A | Q15858 | 2/20 | 0.68 |
| ▸ | ACE | P12821 | 3/20 | 0.61 |
| ▸ | CTSL | P07711 | 2/20 | 0.56 |
| ▸ | CTSS | P25774 | 1/20 | 0.56 |
| ▸ | CTSK | P43235 | 1/20 | 0.56 |
| ▸ | TACR1 | P25103 | 2/20 | 0.55 |
| ▸ | ITGB2 | P05107 | 3/20 | 0.54 |
| ▸ | ICAM1 | P05362 | 3/20 | 0.54 |
| ▸ | ITGAL | P20701 | 3/20 | 0.54 |
| ▸ | MAPT | P10636 | 2/20 | 0.52 |
| ▸ | SMN1; SMN2 | Q16637 | 1/20 | 0.52 |
| ▸ | TP53 | P04637 | 1/20 | 0.52 |
| ▸ | ADAM17 | P78536 | 1/20 | 0.51 |
| ▸ | MEN1 | O00255 | 1/20 | 0.49 |
| ▸ | KMT2A | Q03164 | 1/20 | 0.49 |
| ▸ | SSTR3 | P32745 | 1/20 | 0.48 |
| ▸ | ALOX15 | P16050 | 1/20 | 0.47 |
| ▸ | TGM2 | P21980 | 1/20 | 0.47 |
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 | |
|---|---|---|---|---|
| SCHEMBL11439689 | 1.00 | SCN9A (0.68) | SCN9AACECTSLCTSSCTSK | |
| SCHEMBL23270828 | 0.92 | SCN9A (0.63) | SCN9AACECTSLCTSSCTSK | |
| SCHEMBL8939508 | 0.92 | SCN9A (0.63) | SCN9AACECTSLCTSSCTSK | |
| SCHEMBL31278511 | 0.92 | SCN9A (0.63) | SCN9AACECTSLCTSSCTSK | |
| SCHEMBL6163052 | 0.91 | SCN9A (0.58) | SCN9AACECTSLCTSSCTSK | |
| SCHEMBL22091572 | 0.88 | SCN9A (0.69) | SCN9AACECTSLCTSSCTSK | |
| SCHEMBL22091571 | 0.88 | SCN9A (0.69) | SCN9AACECTSLCTSSCTSK | |
| SCHEMBL22734263 | 0.88 | SCN9A (0.69) | SCN9AACECTSLCTSSCTSK | |
| SCHEMBL22734264 | 0.88 | SCN9A (0.69) | SCN9AACECTSLCTSSCTSK | |
| SCHEMBL29842668 | 0.88 | SCN9A (0.69) | SCN9AACECTSLCTSSCTSK |
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 11 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| US-20250325508-A1 | MODULATORS OF PROTEASOME DYNAMICS AND/OR FUNCTION, COMPOSITIONS, METHODS, AND THERAPEUTIC USES THEREOF | TECHNION RES & DEV FOUNDATION (IL) | 2025-10-23 | — | — | US | disclosed |
| US-20240057599-A1 | METHODS FOR IMPROVING FRUIT QUALITY | THE STATE OF ISRAEL, MINISTRY OF AGRICULTURE & RURAL DEVELOPMENT, AGRICULTURAL RESEARCH ORGANIZATION (ARO) (VOLCANI CENTER) (IL) | 2024-02-22 | — | — | US | disclosed |
| CN-117062529-A | Method for improving fruit quality | 以色列农业和农村发展部农业研究组织(范卡尼研究所) | 2023-11-14 | — | — | CN | disclosed |
| US-20230330064-A1 | TYROSINE, TRYPTOPHAN AND PHENYLALANINE AS mTOR AGONISTS MEDIATING PROTEASOME DYNAMICS, COMPOSITIONS, METHODS AND USES THEREOF IN THERAPY, AND PROGNOSTIC METHODS FOR DRUG-RESISTANCE | RAMBAM MED-TECH LTD. (IL) | 2023-10-19 | — | — | US | disclosed |
| CN-115843565-A | Method for improving plant performance | 以色列农业和农村发展部农业研究组织(范卡尼中心) | 2023-03-28 | — | — | CN | disclosed |
| CN-111988994-B | Method for improving plant performance | 以色列农业和农村发展部农业研究组织(范卡尼中心) | 2023-01-10 | — | — | CN | disclosed |
| US-20200383327-A1 | METHOD OF IMPROVING PLANT PERFORMANCE | THE STATE OF ISRAEL, MINISTRY OF AGRICULTURE & RURAL DEVELOPMENT, AGRICULTURAL RESEARCH ORGANIZATION (ARO) (VOLCANI CENTER) (IL) | 2020-12-10 | — | — | US | disclosed |
| CN-111988994-A | Method for improving plant performance | 以色列农业和农村发展部农业研究组织(范卡尼中心) | 2020-11-24 | — | — | CN | disclosed |
| US-20100184758-A1 | BETA CARBOLINE DERIVATIVES AS ANTIDIABETIC COMPOUNDS | MERCK SHARP & DOHME CORP. | 2010-07-22 | — | — | US | disclosed |
| EP-2178537-A1 | BETA CARBOLINE DERIVATIVES AS ANTIDIABETIC COMPOUNDS | Merck Sharp & Dohme Corp. (US) | 2010-04-28 | — | — | EP | disclosed |
| WO-2009011836-A1 | BETA CARBOLINE DERIVATIVES AS ANTIDIABETIC COMPOUNDS | MERCK & CO., INC. (US) | 2009-01-22 | — | — | 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 (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-20230330064-A1 | TYROSINE, TRYPTOPHAN AND PHENYLALANINE AS mTOR AGONISTS MEDIATING PROTEASOME DYNAMICS, COMPOSITIONS, METHODS AND USES THEREOF IN THERAPY, AND PROGNOSTIC METHODS FOR DRUG-RESISTANCE | RPTOR, PSMG3, MTOR | SCN9A 4655/4885ACE 3535/4885CTSL 2273/4885 |
| US-20100184758-A1 | BETA CARBOLINE DERIVATIVES AS ANTIDIABETIC COMPOUNDS | GPR119, SSTR3, SSTR2 | SCN9A 1723/4885ACE 2868/4885CTSL 2708/4885 |
| US-20250325508-A1 | MODULATORS OF PROTEASOME DYNAMICS AND/OR FUNCTION, COMPOSITIONS, METHODS, AND THERAPEUTIC USES THEREOF | PSMC1, PSME3, PSMA6 | SCN9A 3990/4885ACE 3987/4885CTSL 2871/4885 |
“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.