Predicted protein targets (top 7)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | OPRM1 | P35372 | 7/20 | 0.45 |
| ▸ | OPRD1 | P41143 | 5/20 | 0.45 |
| ▸ | CAPN1 | P07384 | 3/20 | 0.43 |
| ▸ | F2R | P25116 | 2/20 | 0.42 |
| ▸ | SLC6A2 | P23975 | 1/20 | 0.42 |
| ▸ | XIAP | P98170 | 1/20 | 0.41 |
| ▸ | OPRK1 | P41145 | 1/20 | 0.41 |
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 | |
|---|---|---|---|---|
| SCHEMBL30389271 | 0.90 | OPRM1 (0.49) | OPRM1OPRD1CAPN1XIAPOPRK1 | |
| SCHEMBL29644398 | 0.89 | OPRM1 (0.48) | OPRM1OPRD1CAPN1OPRK1 | |
| SCHEMBL31409133 | 0.89 | CAPN1 (0.53) | CAPN1F2R | |
| SCHEMBL6806022 | 0.88 | SLC6A2 (0.43) | OPRM1OPRD1SLC6A2XIAPOPRK1 | |
| SCHEMBL6806030 | 0.88 | SLC6A2 (0.43) | OPRM1OPRD1SLC6A2XIAPOPRK1 | |
| SCHEMBL29811183 | 0.85 | OPRM1 (0.49) | OPRM1OPRD1CAPN1XIAPOPRK1 | |
| SCHEMBL9471485 | 0.85 | ACE (0.48) | — | |
| SCHEMBL30123062 | 0.85 | OPRM1 (0.48) | OPRM1OPRD1XIAPOPRK1 | |
| SCHEMBL31256942 | 0.85 | GRB2 (0.54) | OPRM1OPRD1CAPN1SLC6A2XIAP | |
| SCHEMBL32681284 | 0.84 | CAPN1 (0.53) | OPRM1OPRD1CAPN1SLC6A2XIAP |
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 1616 patents — showing the first 20. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| CN-118021767-A | Microsphere-nanoparticle complex for regenerating nucleus pulposus cells and preparation method and application thereof | 苏州大学附属第一医院 | 2024-05-14 | — | — | CN | claimed |
| CN-117679393-A | Visporfin-loaded bioadhesive nano slow-release particles for treating hypertrophic scars | 中山大学附属第一医院 | 2024-03-12 | — | — | CN | claimed |
| CN-110532358-B | Knowledge base question-answering oriented template automatic generation method | 东南大学 | 2023-08-22 | — | — | CN | claimed |
| CN-111309305-B | Intelligent contract-oriented code automatic recommendation method, system, computer equipment and storage medium | 扬州大学 | 2023-06-02 | — | — | CN | claimed |
| CN-116084058-A | Polylactic acid electrostatic spinning fiber with bioadhesion and drug loading function and preparation method thereof | 中山大学·深圳 | 2023-05-09 | — | — | CN | claimed |
| WO-2023060716-A1 | PREPARATION OF TRIS-BNP NANOPARTICLE AND APPLICATION THEREOF IN TREATMENT OF SKIN DISEASES | 中山大学•深圳 | 2023-04-20 | — | — | WO | claimed |
| CN-115947735-A | Organic small-molecule optical diagnosis and treatment reagent, nano-particles, preparation method and application thereof | 南京邮电大学 | 2023-04-11 | — | — | CN | claimed |
| CN-113876716-B | Bioadhesive nanoparticle for treating gastrointestinal diseases and preparation method thereof | 中山大学·深圳 | 2023-03-10 | — | — | CN | claimed |
| CN-113975249-B | Preparation of Tris-BNP nano-particles and application thereof in treatment of skin diseases | 中山大学·深圳 | 2023-01-03 | — | — | CN | claimed |
| WO-2022270730-A1 | USER INTERFACE PROVISION METHOD FOR OPTIMUM GRID SPECIFICATION SELECTION | 제이피아이헬스케어 주식회사 | 2022-12-29 | — | — | WO | claimed |
| CN-114757207-A | English FAQ question-answering system implementation method and device, computer equipment and storage medium | 深圳卫安智能机器人科技有限公司 | 2022-07-15 | — | — | CN | claimed |
| CN-112818698-B | Fine-grained user comment sentiment analysis method based on dual-channel model | 北京航空航天大学 | 2022-07-15 | — | — | CN | claimed |
| CN-113975249-A | Preparation of Tris-BNP nano-particles and application thereof in treatment of skin diseases | 中山大学·深圳 | 2022-01-28 | — | — | CN | claimed |
| US-20260148479-A1 | REAL-TIME HIGH-FIDELITY ADAPTIVE VOXEL RADIANCE FIELD RENDERING | NVIDIA CORPORATION (US) | 2026-05-28 | — | — | US | disclosed |
| US-20260148478-A1 | REAL-TIME HIGH-FIDELITY ADAPTIVE VOXEL RADIANCE FIELD RENDERING | NVIDIA CORPORATION (US) | 2026-05-28 | — | — | US | disclosed |
| US-20260148775-A1 | RELOCATING TRANSFORMED DATA | PURE STORAGE, INC. (US) | 2026-05-28 | — | — | US | disclosed |
| US-20220027472-A1 | RANSOMWARE DETECTION AND MITIGATION IN A ZONED STORAGE DEVICE STORAGE SYSTEM | PURE STORAGE, INC. | 2022-01-27 | — | — | US | disclosed |
| US-20220027064-A1 | TWO OR MORE LOGICAL ARRAYS HAVING ZONED DRIVES | PURE STORAGE, INC. | 2022-01-27 | — | — | US | disclosed |
| US-20220030062-A1 | REPLICATION HANDLING AMONG DISTINCT NETWORKS | PURE STORAGE, INC. | 2022-01-27 | — | — | US | disclosed |
| US-20220027051-A1 | Data Path Virtualization | PURE STORAGE, INC. | 2022-01-27 | — | — | US | 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-20260148775-A1 | RELOCATING TRANSFORMED DATA | SARAF, LSM8, PSEN1 | OPRM1 1149/4885OPRD1 1700/4885CAPN1 1478/4885 |
| US-20260148479-A1 | REAL-TIME HIGH-FIDELITY ADAPTIVE VOXEL RADIANCE FIELD RENDERING | GRIN3B, ITGB6, HTR3D | OPRM1 1682/4885OPRD1 966/4885CAPN1 1206/4885 |
| US-20260148478-A1 | REAL-TIME HIGH-FIDELITY ADAPTIVE VOXEL RADIANCE FIELD RENDERING | HTR3D, ITGA6, TRIM25 | OPRM1 1207/4885OPRD1 1184/4885CAPN1 389/4885 |
“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.