Predicted protein targets (top 11)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | GAA | P10253 | 1/20 | 0.41 |
| ▸ | LMNA | P02545 | 1/20 | 0.38 |
| ▸ | ALDH1A1 | P00352 | 2/20 | 0.38 |
| ▸ | KDM4E | B2RXH2 | 1/20 | 0.38 |
| ▸ | NPC1 | O15118 | 1/20 | 0.38 |
| ▸ | THRB | P10828 | 1/20 | 0.38 |
| ▸ | ALOX15 | P16050 | 1/20 | 0.37 |
| ▸ | MAPT | P10636 | 1/20 | 0.37 |
| ▸ | MAPK1 | P28482 | 1/20 | 0.37 |
| ▸ | RXFP1 | Q9HBX9 | 1/20 | 0.37 |
| ▸ | GRM5 | P41594 | 1/20 | 0.37 |
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 | |
|---|---|---|---|---|
| Oxasulfuron SCHEMBL29374284 | 1.00 | GAA (0.41) | GAALMNAALDH1A1KDM4ENPC1 | |
| Oxasulfuron SCHEMBL66884 | 1.00 | GAA (0.41) | GAALMNAALDH1A1KDM4ENPC1 | |
| Oxasulfuron SCHEMBL14876745 | 0.99 | GAA (0.40) | GAALMNAALDH1A1KDM4ENPC1 | |
| Oxasulfuron SCHEMBL21221253 | 0.99 | GAA (0.40) | GAALMNAALDH1A1KDM4ENPC1 | |
| Oxasulfuron SCHEMBL4165661 | 0.99 | GAA (0.40) | GAALMNAALDH1A1KDM4ENPC1 | |
| Oxasulfuron SCHEMBL20291777 | 0.99 | GAA (0.40) | GAALMNAALDH1A1KDM4ENPC1 | |
| Oxasulfuron SCHEMBL6717378 | 0.99 | GAA (0.40) | GAALMNAALDH1A1KDM4ENPC1 | |
| Oxasulfuron SCHEMBL20573129 | 0.99 | GAA (0.40) | GAALMNAALDH1A1KDM4ENPC1 | |
| Oxasulfuron SCHEMBL1997907 | 0.99 | GAA (0.40) | GAALMNAALDH1A1KDM4ENPC1 | |
| Oxasulfuron SCHEMBL4403629 | 0.99 | GAA (0.40) | GAALMNAALDH1A1KDM4ENPC1 |
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-117540746-A | Multi-task migration-based crowd-sourced named entity identification personalized prompt fine tuning method and system | 哈尔滨工业大学 | 2024-02-09 | — | — | CN | claimed |
| WO-2023071530-A1 | MEDICAL EVENT RECOGNITION METHOD AND SYSTEM UNDER SMALL SAMPLE WEAK LABELING CONDITION | 之江实验室 | 2023-05-04 | — | — | WO | claimed |
| CN-115826601-A | Unmanned aerial vehicle path planning method based on reverse reinforcement learning | 中国人民解放军海军航空大学 | 2023-03-21 | — | — | CN | claimed |
| CN-110532605-A | A kind of safety evaluation method of anchor structure | UNIV CHINA GEOSCIENCES WUHAN | 2019-12-03 | — | — | CN | claimed |
| CN-108052627-A | A kind of agrotechnical Knowledge Service Platform and method | 中国科学院合肥物质科学研究院 | 2018-05-18 | — | — | CN | claimed |
| CN-104333471-A | Remote-control broadband fault maintaining method | CHENGDU YUANWEI TIANSHENG TECHNOLOGY CO LTD | 2015-02-04 | — | — | CN | claimed |
| CN-117540746-A | Multi-task migration-based crowd-sourced named entity identification personalized prompt fine tuning method and system | 哈尔滨工业大学 | 2024-02-09 | — | — | CN | disclosed |
| WO-2023071530-A1 | MEDICAL EVENT RECOGNITION METHOD AND SYSTEM UNDER SMALL SAMPLE WEAK LABELING CONDITION | 之江实验室 | 2023-05-04 | — | — | WO | disclosed |
| CN-116012137-A | Rolling rate analysis method, system, electronic equipment and medium based on loan five-level classification | 之江实验室 | 2023-04-25 | — | — | CN | disclosed |
| CN-115826601-A | Unmanned aerial vehicle path planning method based on reverse reinforcement learning | 中国人民解放军海军航空大学 | 2023-03-21 | — | — | CN | disclosed |
| EP-3948664-A1 | METHOD AND SYSTEM FOR IDENTIFYING OBJECTS FROM PIXELATED IMAGES OF SAID OBJECTS | Sispia (FR) | 2022-02-09 | — | — | EP | disclosed |
| US-20210182620-A1 | Systems and Methods for Training a Machine Learned Model for Agent Navigation | GOOGLE LLC | 2021-06-17 | — | — | US | disclosed |
| US-20200163880-A1 | CATIONIC LIPOSOMES | DANMARKS TEKNISKE UNIVERSITET (DK) | 2020-05-28 | — | — | US | disclosed |
| CN-1479906-A | System for communication of healthcare data | — | 2004-03-03 | — | — | CN | disclosed |
| EP-0946101-B1 | HERBICIDAL COMPOSITION CONTAINING OXASULFURON AND METHOD OF WEED CONTROL | SYNGENTA PARTICIPATIONS AG (CH) | 2003-08-06 | — | — | EP | disclosed |
| US-6017850-A | SUITABLE FOR SELECTIVE CONTROL OF WEEDS IN CROPS OF USEFUL PLANTS, FOR EXAMPLE IN CROPS OF CEREALS, RICE, COTTON, RAPE, SORGHUM, SUGAR CANE, SUGAR BEET, SUNFLOWERS, VEGETABLES, PLANTATION CROPS, FODDER PLANTS, MAIZE AND SOYABEANS | NOVARTIS FINANCE CORPORATION (US) | 2000-01-25 | — | — | US | disclosed |
| EP-0946101-A1 | HERBICIDAL COMPOSITION AND METHOD OF WEED CONTROL | Novartis AG (CH) | 1999-10-06 | — | — | EP | disclosed |
| WO-1998024321-A1 | HERBICIDAL COMPOSITION AND METHOD OF WEED CONTROL | NOVARTIS AG (CH) | 1998-06-11 | — | — | WO | disclosed |
| CN-1058804-A | But can flow and liquid surfactant enriched material that pump extracts | HENKEL & CIE GMBH (DE) | 1992-02-19 | — | — | CN | disclosed |
| EP-0333635-A2 | Multi-user, artificial intelligent expert system | INTELLISYSTEMS, INC. (US) | 1989-09-20 | — | — | 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 (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-20200163880-A1 | CATIONIC LIPOSOMES | CD14, LIPA, CETP | GAA 509/4885LMNA 2271/4885ALDH1A1 4788/4885 |
“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.