Predicted protein targets (top 20)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | SLC6A3 | Q01959 | 2/20 | 0.70 |
| ▸ | SLC6A2 | P23975 | 1/20 | 0.70 |
| ▸ | SLC6A4 | P31645 | 1/20 | 0.70 |
| ▸ | AHR | P35869 | 4/20 | 0.69 |
| ▸ | KDM4E | B2RXH2 | 6/20 | 0.57 |
| ▸ | LMNA | P02545 | 3/20 | 0.57 |
| ▸ | CYP3A4 | P08684 | 2/20 | 0.57 |
| ▸ | CYP2C9 | P11712 | 2/20 | 0.57 |
| ▸ | ABCB11 | O95342 | 1/20 | 0.57 |
| ▸ | ESR1 | P03372 | 1/20 | 0.57 |
| ▸ | ADRA2A | P08913 | 1/20 | 0.57 |
| ▸ | TSHR | P16473 | 1/20 | 0.57 |
| ▸ | PDE4A | P27815 | 1/20 | 0.57 |
| ▸ | ADRA1A | P35348 | 1/20 | 0.57 |
| ▸ | OPRK1 | P41145 | 1/20 | 0.57 |
| ▸ | STAT6 | P42226 | 1/20 | 0.57 |
| ▸ | HIF1A | Q16665 | 1/20 | 0.57 |
| ▸ | GPR55 | Q9Y2T6 | 1/20 | 0.57 |
| ▸ | NQO1 | P15559 | 1/20 | 0.44 |
| ▸ | ALDH1A1 | P00352 | 6/20 | 0.43 |
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 | |
|---|---|---|---|---|
| Dihydroxydiphenyl-Pyridyl Methane SCHEMBL3615825 | 1.00 | SLC6A3 (0.70) | SLC6A3SLC6A2SLC6A4AHRKDM4E | |
| SCHEMBL14164965 | 0.96 | SLC6A3 (0.78) | SLC6A3SLC6A2SLC6A4AHRKDM4E | |
| SCHEMBL15854856 | 0.91 | AHR (0.60) | SLC6A3SLC6A2SLC6A4AHRKDM4E | |
| SCHEMBL14242087 | 0.91 | AHR (0.60) | SLC6A3SLC6A2SLC6A4AHRKDM4E | |
| Dihydroxydiphenyl-Pyridyl Methane SCHEMBL8890405 | 0.91 | AHR (0.60) | SLC6A3SLC6A2SLC6A4AHRKDM4E | |
| Dihydroxydiphenyl-Pyridyl Methane SCHEMBL2021125 | 0.90 | KDM4E (0.64) | SLC6A3SLC6A2SLC6A4AHRKDM4E | |
| SCHEMBL9770641 | 0.87 | AHR (0.63) | SLC6A3SLC6A2SLC6A4AHRKDM4E | |
| SCHEMBL15857983 | 0.87 | AHR (0.56) | SLC6A3SLC6A2SLC6A4AHRKDM4E | |
| SCHEMBL15854864 | 0.87 | AHR (0.59) | SLC6A3SLC6A2SLC6A4AHRKDM4E | |
| SCHEMBL30537936 | 0.86 | AHR (0.58) | SLC6A3SLC6A2SLC6A4AHRKDM4E |
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 1457 patents — showing the first 20. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| CN-122072686-A | TFCD-based few-sample fault diagnosis method based on fusion time sequence characteristics | 西安电子科技大学 | 2026-05-22 | — | — | CN | claimed |
| CN-122067273-A | Live pig quarantine method based on spectrum reconstruction | 南昌大学 | 2026-05-19 | — | — | CN | claimed |
| CN-122063712-A | Radar short-term precipitation prediction method based on space-time potential diffusion transducer | 西安电子科技大学 | 2026-05-19 | — | — | CN | claimed |
| CN-122049111-A | Dynamic mask prediction-based conditional diffusion model image semantic editing method | 北京工业大学 | 2026-05-15 | — | — | CN | claimed |
| CN-122020401-A | Fault data generation method and system based on physical constraint double-domain diffusion model | 西南交通大学 | 2026-05-12 | — | — | CN | claimed |
| CN-121580265-A | Single-source multi-mode emotion recognition method based on EEG signals | 西北工业大学深圳研究院 | 2026-02-27 | — | — | CN | claimed |
| CN-121579945-A | Multi-fusion intelligent recognition and early warning method and system for coal mine disaster risk | 中国矿业大学 | 2026-02-27 | — | — | CN | claimed |
| US-20260044997-A1 | SPEECH RECOGNITION-BASED IMAGE GENERATION SYSTEM AND METHOD | HYUNDAI MOTOR COMPANY (KR) | 2026-02-12 | — | — | US | claimed |
| EP-4656618-A1 | METHOD FOR PRODUCING CARBONACEOUS LUMP | JFE Steel Corporation (JP) | 2025-12-03 | — | — | EP | claimed |
| US-12486236-B2 | Electroluminescent device | Beijing Summer Sprout Technology Co., Ltd. (CN) | 2025-12-02 | — | — | US | claimed |
| CN-115470810-A | Electroencephalogram semantic visualization method based on diffusion model framework | 杭州电子科技大学 | 2022-12-13 | — | — | CN | claimed |
| CN-115353902-A | Additive for enhancing thermal state performance of coke and use method thereof | 中冶焦耐(大连)工程技术有限公司 | 2022-11-18 | — | — | CN | claimed |
| CN-113621393-B | Classification matching method of coking coal with 18-22% of volatile matter | 武汉钢铁有限公司 | 2022-11-01 | — | — | CN | claimed |
| US-11486022-B2 | Ferrocoke manufacturing method | JFE STEEL CORPORATION (JP) | 2022-11-01 | — | — | US | claimed |
| CN-113684048-B | Coking coal blending method, coal blending system and industrial control equipment | 首钢集团有限公司 | 2022-10-21 | — | — | CN | claimed |
| CN-115044385-A | Method for producing low-sulfur coke by using ultra-high-sulfur gas-fat coal | 河北中煤旭阳能源有限公司 | 2022-09-13 | — | — | CN | claimed |
| CN-114707280-A | Spiral sorting machine structure optimization method based on FLUENT-EDEM coupling simulation | 大连理工大学 | 2022-07-05 | — | — | CN | claimed |
| CN-114638142-A | Prediction method for borehole abrasion and actual diameter in close-cut multi-cluster temporary plugging fracturing | 中石化石油工程技术服务有限公司 | 2022-06-17 | — | — | CN | claimed |
| CN-114507536-A | Coal blending method for improving crushing strength of coke | 武汉钢铁有限公司 | 2022-05-17 | — | — | CN | claimed |
| CN-112214661-B | Emotional unstable user detection method for conventional video comments | 西华大学 | 2022-04-08 | — | — | CN | claimed |
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-12486236-B2 | Electroluminescent device | MCOLN2, MCOLN1, LDHB | SLC6A3 2726/4885SLC6A2 1668/4885SLC6A4 3414/4885 |
| US-20260044997-A1 | SPEECH RECOGNITION-BASED IMAGE GENERATION SYSTEM AND METHOD | HNRNPD, DCUN1D1, DCUN1D2 | SLC6A3 2273/4885SLC6A2 3993/4885SLC6A4 3710/4885 |
“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.