Predicted protein targets (top 10)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | TDP1 | Q9NUW8 | 2/20 | 0.71 |
| ▸ | LMNA | P02545 | 3/20 | 0.65 |
| ▸ | L3MBTL1 | Q9Y468 | 1/20 | 0.65 |
| ▸ | KDM4E | B2RXH2 | 2/20 | 0.50 |
| ▸ | PDE4A | P27815 | 1/20 | 0.44 |
| ▸ | USP2 | O75604 | 1/20 | 0.41 |
| ▸ | SLCO1B1 | Q9Y6L6 | 1/20 | 0.41 |
| ▸ | TOP1 | P11387 | 1/20 | 0.35 |
| ▸ | TSHR | P16473 | 1/20 | 0.35 |
| ▸ | MGAM | O43451 | 3/20 | 0.33 |
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 | |
|---|---|---|---|---|
| SCHEMBL28074963 | 1.00 | TDP1 (0.71) | TDP1LMNAL3MBTL1KDM4EPDE4A | |
| SCHEMBL15840781 | 1.00 | TDP1 (0.71) | TDP1LMNAL3MBTL1KDM4EPDE4A | |
| SCHEMBL18076293 | 1.00 | TDP1 (0.71) | TDP1LMNAL3MBTL1KDM4EPDE4A | |
| SCHEMBL15804390 | 0.97 | LMNA (0.69) | TDP1LMNAL3MBTL1KDM4EPDE4A | |
| SCHEMBL14199676 | 0.97 | LMNA (0.69) | TDP1LMNAL3MBTL1KDM4EPDE4A | |
| SCHEMBL12153722 | 0.97 | LMNA (0.69) | TDP1LMNAL3MBTL1KDM4EPDE4A | |
| SCHEMBL15895192 | 0.97 | LMNA (0.69) | TDP1LMNAL3MBTL1KDM4EPDE4A | |
| SCHEMBL16748074 | 0.97 | LMNA (0.69) | TDP1LMNAL3MBTL1KDM4EPDE4A | |
| SCHEMBL14147720 | 0.97 | LMNA (0.69) | TDP1LMNAL3MBTL1KDM4EPDE4A | |
| SCHEMBL17528489 | 0.97 | LMNA (0.69) | TDP1LMNAL3MBTL1KDM4EPDE4A |
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 18 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| CN-105732315-A | Sorbitol derivatives and preparing method and application of DBS polyolefin nucleating agent synthesized with sorbitol derivatives | 苏州亚培克生物科技有限公司 | 2016-07-06 | — | — | CN | claimed |
| WO-2025110076-A1 | DIACETAL COMPOSITION, POLYOLEFIN-BASED RESIN COMPOSITION, MOLDED POLYOLEFIN-BASED RESIN, AND METHOD FOR PRODUCING MOLDED POLYOLEFIN-BASED RESIN | 新日本理化株式会社 | 2025-05-30 | — | — | WO | disclosed |
| CN-115595072-B | High-strength PID-resistant packaging adhesive film for lightweight photovoltaic module and preparation method thereof | 江苏鹿山新材料有限公司 | 2023-09-15 | — | — | CN | disclosed |
| CN-111499976-B | Polypropylene nucleation cooling dual-functional master batch and preparation method and application thereof | 星贝达新材料有限公司 | 2023-05-23 | — | — | CN | disclosed |
| CN-113517138-B | Method for reducing working internal pressure of aluminum electrolytic capacitor by using hydrogen storage alloy | 西安交通大学 | 2023-04-14 | — | — | CN | disclosed |
| CN-115595072-A | High-strength PID (potential induced degradation) -resistant packaging adhesive film for lightweight photovoltaic module and preparation method thereof | 江苏鹿山新材料有限公司（CN） | 2023-01-13 | — | — | CN | disclosed |
| CN-113517138-A | Method for reducing working internal pressure of aluminum electrolytic capacitor by using hydrogen storage alloy | 西安交通大学 | 2021-10-19 | — | — | CN | disclosed |
| CN-111499976-A | Polypropylene nucleating and cooling difunctional master batch and preparation method and application thereof | 星贝达（上海）化工材料有限公司 | 2020-08-07 | — | — | CN | disclosed |
| CN-105732315-A | Sorbitol derivatives and preparing method and application of DBS polyolefin nucleating agent synthesized with sorbitol derivatives | 苏州亚培克生物科技有限公司 | 2016-07-06 | — | — | CN | disclosed |
| CN-105732315-A | Sorbitol derivatives and preparing method and application of DBS polyolefin nucleating agent synthesized with sorbitol derivatives | 苏州亚培克生物科技有限公司 | 2016-07-06 | — | — | CN | disclosed |
| US-20110015220-A1 | MIXED ORL1/MU-AGONISTS FOR THE TREATMENT OF PAIN | GRUNENTHAL GMBH (DE) | 2011-01-20 | — | — | US | disclosed |
| US-7833795-B2 | Assessment of cardiovascular risk using isoprostane biomarkers and COX-2 selective inhibitors | THE TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA (US) | 2010-11-16 | — | — | US | disclosed |
| US-20080125475-A1 | Mixed ORL1/mu-agonists for the treatment of pain | GRUNENTHAL GMBH (DE) | 2008-05-29 | — | — | US | disclosed |
| CN-1196777-C | Transparent solid detergent composition | SHISEIDO KANIKEN INDUSTRY CO L (JP) | 2005-04-13 | — | — | CN | disclosed |
| US-20030059480-A1 | Compositions and methods relating to fish milt and intra-lamellar gels from algae | BORATYN DIANE C (US) | 2003-03-27 | — | — | US | disclosed |
| CN-1344790-A | Transparent solid detergent composition | SHISEIDO KANIKEN INDUSTRY CO L (JP) | 2002-04-17 | — | — | CN | disclosed |
| US-6136329-A | Compositions and methods relating to intra-lamellar gels from algae | BORATYN DIANE C (US) | 2000-10-24 | — | — | US | disclosed |
| EP-0034804-B1 | PROCESS FOR THE PREPARATION OF SUPERIOR SATURATED KETONES | BASF Aktiengesellschaft (DE) | 1983-03-23 | — | — | EP | 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-20110015220-A1 | MIXED ORL1/MU-AGONISTS FOR THE TREATMENT OF PAIN | OPRL1, OPRM1, OPRK1 | TDP1 3933/4885LMNA 4566/4885L3MBTL1 350/4885 |
| US-20080125475-A1 | Mixed ORL1/mu-agonists for the treatment of pain | OPRL1, OPRM1, OPRK1 | TDP1 3989/4885LMNA 4512/4885L3MBTL1 354/4885 |
“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.