Predicted protein targets (top 13)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | LPAR3 | Q9UBY5 | 3/20 | 0.38 |
| ▸ | LPAR2 | Q9HBW0 | 1/20 | 0.38 |
| ▸ | TYMS | P04818 | 1/20 | 0.36 |
| ▸ | PPARD | Q03181 | 2/20 | 0.35 |
| ▸ | ALDH1A1 | P00352 | 3/20 | 0.34 |
| ▸ | TDP1 | Q9NUW8 | 1/20 | 0.34 |
| ▸ | BBOX1 | O75936 | 1/20 | 0.32 |
| ▸ | GRM4 | Q14833 | 1/20 | 0.32 |
| ▸ | S1PR2 | O95136 | 3/20 | 0.31 |
| ▸ | S1PR4 | O95977 | 3/20 | 0.31 |
| ▸ | S1PR1 | P21453 | 3/20 | 0.31 |
| ▸ | S1PR3 | Q99500 | 3/20 | 0.31 |
| ▸ | S1PR5 | Q9H228 | 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 | |
|---|---|---|---|---|
| Diethylamine SCHEMBL27846392 | 0.90 | S1PR2 (0.34) | LPAR3LPAR2TYMSPPARDS1PR2 | |
| SCHEMBL7021919 | 0.87 | LPAR3 (0.45) | LPAR3LPAR2TYMSALDH1A1TDP1 | |
| SCHEMBL27739896 | 0.86 | ALDH1A1 (0.31) | ALDH1A1TDP1 | |
| SCHEMBL20875716 | 0.85 | LPAR3 (0.48) | LPAR3LPAR2TYMSALDH1A1TDP1 | |
| SCHEMBL16268290 | 0.85 | GRM4 (0.34) | LPAR3LPAR2GRM4 | |
| SCHEMBL26841118 | 0.84 | GABBR2 (0.37) | PPARD | |
| SCHEMBL22370095 | 0.84 | LPAR3 (0.52) | LPAR3LPAR2TYMSALDH1A1TDP1 | |
| SCHEMBL15529114 | 0.82 | GRM4 (0.32) | ALDH1A1TDP1GRM4 | |
| SCHEMBL28091487 | 0.82 | ALDH1A1 (0.34) | ALDH1A1TDP1 | |
| SCHEMBL3681919 | 0.81 | PPARD (0.55) | PPARDTDP1 |
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 55 patents — showing the first 20. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| CN-110528293-A | A kind of inflaming-retarding antifouling synthetic leather and preparation method thereof | ZHU JIANYU | 2019-12-03 | — | — | CN | claimed |
| CN-108325507-A | A kind of mesoporous silicon fiml of graphene oxide doped and its preparation method and application | 江苏大学 | 2018-07-27 | — | — | CN | claimed |
| US-9567468-B1 | Durable hydrophobic coating composition for metallic surfaces and method for the preparation of the composition | NEI CORPORATION (US) | 2017-02-14 | — | — | US | claimed |
| EP-0985702-B1 | Flame retardant dispersion composition | CONSORTIUM ELEKTROCHEM IND (DE) | 2002-11-27 | — | — | EP | claimed |
| US-12203000-B2 | Adhesion promoters and their use | HENKEL AG & CO. KGAA (DE) | 2025-01-21 | — | — | US | disclosed |
| CN-118047920-A | Conjugated diene copolymer, rubber, and method for producing same | 台橡股份有限公司 | 2024-05-17 | — | — | CN | disclosed |
| US-11827807-B2 | Metal surface coatings for improving bond performance and methods of making the same | NOVELIS INC. (US) | 2023-11-28 | — | — | US | disclosed |
| US-11827807-B2 | Metal surface coatings for improving bond performance and methods of making the same | NOVELIS INC. (US) | 2023-11-28 | — | — | US | disclosed |
| CN-114423828-B | Metal surface coating for improving adhesive property and preparation method thereof | 诺维尔里斯公司 | 2023-10-27 | — | — | CN | disclosed |
| EP-3997180-B1 | METAL SURFACE COATINGS FOR IMPROVING BOND PERFORMANCE AND METHODS OF MAKING THE SAME | NOVELIS INC (US) | 2023-08-30 | — | — | EP | disclosed |
| US-20220340763-A1 | METAL SURFACE COATINGS FOR IMPROVING BOND PERFORMANCE AND METHODS OF MAKING THE SAME | NOVELIS INC. (US) | 2022-10-27 | — | — | US | disclosed |
| EP-3997180-A1 | METAL SURFACE COATINGS FOR IMPROVING BOND PERFORMANCE AND METHODS OF MAKING THE SAME | Novelis Inc. (US) | 2022-05-18 | — | — | EP | disclosed |
| WO-2015138162-A1 | COATING COMPOSITIONS COMPRISING FUNCTIONALIZED HOLLOW SILICA PARTICLES WITH LOW POROSITY PREPARED USING WATER-BASED SILICA PRECURSORS | E I DU PONT DE NEMOURS AND COMPANY (US) | 2015-09-17 | — | — | WO | disclosed |
| US-20150168837-A1 | LITHOGRAPHIC PRINTING PLATE PRECUSOR | ECO3 BV (BE) | 2015-06-18 | — | — | US | disclosed |
| US-20150168837-A1 | LITHOGRAPHIC PRINTING PLATE PRECUSOR | ECO3 BV (BE) | 2015-06-18 | — | — | US | disclosed |
| CN-104334351-A | A lithographic printing plate precursor | AGFA GRAPHICS NV | 2015-02-04 | — | — | CN | disclosed |
| US-8361627-B2 | Anti-corrosion layer for aluminum and magnesium alloys | EADS DEUTSCHLAND GMBH (DE) | 2013-01-29 | — | — | US | disclosed |
| US-20120021232-A1 | ANTI-CORROSION LAYER FOR ALUMINUM AND MAGNESIUM ALLOYS | TECHNISCHE UNIVERSITÄT WIEN (AT) | 2012-01-26 | — | — | US | disclosed |
| EP-2379623-A1 | ANTI-CORROSION LAYER FOR ALUMINUM AND MAGNESIUM ALLOYS | EADS Deutschland GmbH (DE) | 2011-10-26 | — | — | EP | disclosed |
| WO-2010081757-A1 | ANTI-CORROSION LAYER FOR ALUMINUM AND MAGNESIUM ALLOYS | EADS DEUTSCHLAND GMBH (DE) | 2010-07-22 | — | — | 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 (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-11827807-B2 | Metal surface coatings for improving bond performance and methods of making the same | SOD1, AEBP2, ITGA8 | LPAR3 4421/4885LPAR2 3814/4885TYMS 4862/4885 |
| US-20220340763-A1 | METAL SURFACE COATINGS FOR IMPROVING BOND PERFORMANCE AND METHODS OF MAKING THE SAME | SOD1, AEBP2, ITGA8 | LPAR3 4421/4885LPAR2 3814/4885TYMS 4862/4885 |
“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.