Known targets — ChEMBL curated mechanism
The experimentally established mechanism targets of Afamelanotide. The predicted profile below is derived independently by chemical similarity — agreement is a validation signal, a miss is honest.
Predicted protein targets (top 15)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | MC1R known ✓ | Q01726 | 2/20 | 0.81 |
| ▸ | MC4R | P32245 | 3/20 | 0.81 |
| ▸ | MC5R | P33032 | 2/20 | 0.81 |
| ▸ | MC3R | P41968 | 2/20 | 0.81 |
| ▸ | C5AR1 | P21730 | 2/20 | 0.72 |
| ▸ | IL23R | Q5VWK5 | 3/20 | 0.65 |
| ▸ | CTSL | P07711 | 3/20 | 0.62 |
| ▸ | CTSS | P25774 | 3/20 | 0.62 |
| ▸ | CTSK | P43235 | 3/20 | 0.62 |
| ▸ | CTSH | P09668 | 1/20 | 0.62 |
| ▸ | NMBR | P28336 | 1/20 | 0.61 |
| ▸ | GRPR | P30550 | 1/20 | 0.61 |
| ▸ | TFPI | P10646 | 2/20 | 0.60 |
| ▸ | CXCR4 | P61073 | 4/20 | 0.60 |
| ▸ | GLP1R | P43220 | 1/20 | 0.59 |
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 | |
|---|---|---|---|---|
| Afamelanotide SCHEMBL22463810 | 1.00 | MC4R (0.81) | MC4RMC5RMC3RMC1RC5AR1 | |
| Afamelanotide SCHEMBL22463811 | 1.00 | MC4R (0.81) | MC4RMC5RMC3RMC1RC5AR1 | |
| Afamelanotide SCHEMBL29419548 | 1.00 | MC4R (0.81) | MC4RMC5RMC3RMC1RC5AR1 | |
| Afamelanotide SCHEMBL29533175 | 1.00 | MC4R (0.80) | MC4RMC5RMC3RMC1RC5AR1 | |
| SCHEMBL29970570 | 0.98 | MC4R (0.77) | MC4RMC5RMC3RMC1RC5AR1 | |
| SCHEMBL18281742 | 0.96 | MC4R (0.77) | MC4RMC5RMC3RMC1RC5AR1 | |
| SCHEMBL30312751 | 0.96 | MC4R (0.77) | MC4RMC5RMC3RMC1RC5AR1 | |
| SCHEMBL29533782 | 0.96 | C5AR1 (0.77) | MC4RMC5RMC3RMC1RC5AR1 | |
| SCHEMBL18281737 | 0.96 | MC4R (0.77) | MC4RMC5RMC3RMC1RC5AR1 | |
| Intermedine SCHEMBL20548027 | 0.96 | MC4R (0.82) | MC4RMC5RMC3RMC1RC5AR1 |
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 52 patents — showing the first 20. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| WO-2024000720-A1 | METHOD AND SYSTEM FOR TOOL WEAR MONITORING UNDER VARIABLE WORKING CONDITION BASED ON CUTTING FORCE COMPONENT DECOUPLING | 西安交通大学 | 2024-01-04 | — | — | WO | claimed |
| CN-114905336-B | Variable working condition cutter wear monitoring method and system based on cutting force component decoupling | 西安交通大学 | 2023-07-25 | — | — | CN | claimed |
| CN-116318786-A | Log audit monitoring method and device | 浪潮软件集团有限公司 | 2023-06-23 | — | — | CN | claimed |
| CN-115456439-A | Resource environment bearing capacity monitoring and early warning system | 河南省资源环境调查一院 | 2022-12-09 | — | — | CN | claimed |
| CN-114905336-A | Variable working condition cutter wear monitoring method and system based on cutting force component decoupling | 西安交通大学 | 2022-08-16 | — | — | CN | claimed |
| US-20220245498-A1 | HYBRID QUANTUM COMPUTATION ARCHITECTURE FOR SOLVING A SYSTEM OF LINEAR BINARY RELATIONS | Terra Quantum AG (CH) | 2022-08-04 | — | — | US | claimed |
| CN-114663285-A | Old film super-resolution system based on convolutional neural network | 哈尔滨工业大学 | 2022-06-24 | — | — | CN | claimed |
| CN-114449532-A | Secure sensing spectrum sharing method based on discrete time energy acquisition | 人工智能与数字经济广东省实验室(广州) | 2022-05-06 | — | — | CN | claimed |
| WO-2026107390-A2 | METHODS AND SYSTEMS FOR PREVENTING CARDIOMETABOLIC DISEASES | VALIDAE HEALTH, L.P. (US) | 2026-05-21 | — | — | WO | disclosed |
| US-20260098072-A1 | METHODS OF STIMULATING APPETITE AND/OR INCREASING BODY WEIGHT USING NON-NATURALLY OCCURRING MELANOCORTIN RECEPTOR ANTAGONIST ANALOGS | ENDEVICA BIO INC (US) | 2026-04-09 | — | — | US | disclosed |
| US-20260000765-A1 | CHIMERIC ANTIGEN RECEPTOR THERAPIES FOR TREATING CANCER WITH IL7Fc ARMORED CAR-T CELLS | LENTIGEN TECH INC (US) | 2026-01-01 | — | — | US | disclosed |
| US-12435377-B2 | Cancers with loss of chromosome 16Q and/or low expression of metallothionein proteins | THE BROAD INSTITUTE, INC. (US) | 2025-10-07 | — | — | US | disclosed |
| EP-4605407-A2 | METHODS OF STIMULATING APPETITE AND/OR INCREASING BODY WEIGHT USING NON-NATURALLY OCCURRING MELANOCORTIN RECEPTOR ANTAGONIST ANALOGS | Endevica Bio, Inc. (US) | 2025-08-27 | — | — | EP | disclosed |
| CN-119961221-A | Method, device and equipment for auditing configuration files based on multiple manufacturers | 中盈优创资讯科技有限公司 | 2025-05-09 | — | — | CN | disclosed |
| WO-2022146509-A1 | METHOD AND APPARATUS FOR DEEP NEURAL NETWORK BASED INTER-FRAME PREDICTION IN VIDEO CODING | Tencent America LLC (US) | 2022-07-07 | — | — | WO | disclosed |
| CN-114663285-A | Old film super-resolution system based on convolutional neural network | 哈尔滨工业大学 | 2022-06-24 | — | — | CN | disclosed |
| EP-4007951-A2 | MULTI-LINGUAL LINE-OF-CODE COMPLETION SYSTEM | Microsoft Technology Licensing, LLC (US) | 2022-06-08 | — | — | EP | disclosed |
| CN-114492167-A | Air conditioner cluster aggregation external characteristic modeling method based on online deep learning | 武汉大学 | 2022-05-13 | — | — | CN | disclosed |
| CN-114449532-A | Secure sensing spectrum sharing method based on discrete time energy acquisition | 人工智能与数字经济广东省实验室(广州) | 2022-05-06 | — | — | CN | disclosed |
| CN-113957090-A | Halostachys chinensis metallothionein HcMT compound and application thereof in sunscreen cream | 四川轻化工大学 | 2022-01-21 | — | — | CN | 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-20260098072-A1 | METHODS OF STIMULATING APPETITE AND/OR INCREASING BODY WEIGHT USING NON-NATURALLY OCCURRING MELANOCORTIN RECEPTOR ANTAGONIST ANALOGS | MC1R, MC4R, MC5R | MC1R 1/4885MC4R 2/4885MC5R 3/4885 |
| US-20260000765-A1 | CHIMERIC ANTIGEN RECEPTOR THERAPIES FOR TREATING CANCER WITH IL7Fc ARMORED CAR-T CELLS | RORC, RORB, TNFRSF9 | MC1R 799/4885MC4R 1918/4885MC5R 2681/4885 |
| US-12435377-B2 | Cancers with loss of chromosome 16Q and/or low expression of metallothionein proteins | GSTM2, GSTM1, AS3MT | MC1R 4107/4885MC4R 4538/4885MC5R 4605/4885 |
“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.