Known targets — ChEMBL curated mechanism
ABL1ACEACHEACVR1ADRA1AADRA1BADRA1DADRA2AADRA2BADRA2CADRB1ADRB2ADRB3AGTR1ALKAVPR1AAVPR2BCHEBCRCA2CACNA1ACACNA1BCACNA1CCACNA1DCACNA1ECACNA1FCACNA1GCACNA1HCACNA1ICACNA1SCACNA2D1CACNA2D2CACNA2D3CACNA2D4CACNB1CACNB2CACNB3CACNB4CACNG1CACNG2CACNG3CACNG4CACNG5CACNG6CACNG7CACNG8CALCRLCASRCCR5CDK4CDK6CFBCHRM1CHRM2CHRM3CHRM4CHRM5CHRNA1CHRNA3CHRNA7CHRNB1CHRNB4CHRNDCHRNECHRNGCOXFA4COXFA4L2CRBNCSF1RCUL4ACYP19A1DDB1DPP4DRD1DRD2DRD3DRD4EDNRAEGFREML4ERBB2ERBB4ESR1ESR2FGFR1FGFR3FLT1FLT3FLT4GAAGABRA1GABRA2GABRA3GABRA4GABRA5GABRA6GABRB1GABRB2GABRB3GABRDGABREGABRG1GABRG2GABRG3GABRPGABRQGHSRGLAGNRHRGPD2GRIN1GRIN2AGRIN2BGRIN2CGRIN2DGRIN3AGRIN3BGSTP1HCN4HCRTR1HCRTR2HDAC1HDAC10HDAC11HDAC2HDAC3HDAC4HDAC5HDAC6HDAC7HDAC8HDAC9HRH1HRH2HRH3HSD11B1HSP90AA1HSP90AB1HTR1AHTR1BHTR1DHTR1EHTR1FHTR2AHTR2BHTR2CHTR3AHTR3BHTR3CHTR3DHTR3EHTR4HTR5AHTR6HTR7IMPDH1IMPDH2ITGA2BITGB3ITKJAK1JAK2KCNA1KCNA10KCNA2KCNA3KCNA4KCNA5KCNA6KCNA7KCNB1KCNB2KCNC1KCNC2KCNC3KCNC4KCND1KCND2KCND3KCNF1KCNG1KCNG2KCNG3KCNG4KCNH1KCNH2KCNH3KCNH4KCNH5KCNH6KCNH7KCNH8KCNJ2KCNJ3KCNJ5KCNK3KCNK9KCNQ1KCNQ2KCNQ3KCNQ4KCNQ5KCNS1KCNS2KCNS3KCNV1KCNV2KDRKITKLKB1LCKMMAOAMAOBMAPK14METMMP1MMP13MMP7MMP8MT-ND1MT-ND2MT-ND3MT-ND4MT-ND4LMT-ND5MT-ND6NDUFA1NDUFA10NDUFA11NDUFA12NDUFA13NDUFA2NDUFA3NDUFA5NDUFA6NDUFA7NDUFA8NDUFA9NDUFAB1NDUFAF1NDUFAF2NDUFAF3NDUFAF4NDUFB1NDUFB10NDUFB11NDUFB2NDUFB3NDUFB4NDUFB5NDUFB6NDUFB7NDUFB8NDUFB9NDUFC1NDUFC2NDUFS1NDUFS2NDUFS3NDUFS4NDUFS5NDUFS6NDUFS7NDUFS8NDUFV1NDUFV2NDUFV3NR3C1NS5ANTRK1NTRK2NTRK3ODC1OPRD1OPRK1OPRM1P2RY12PAHPARP1PDE3APDE3BPDE4APDE4BPDE4CPDE4DPDE5APDE7APDE7BPDE8APDE8BPDGFRAPDGFRBPIK3CAPIK3CDPNPPOLA1POLA2POLD1POLD2POLD3POLD4POLEPOLE2POLE3PPARGPRIM1PRIM2PRKCAPRKCBPRKCDPRKCEPRKCGPRKCHPRKCIPRKCQPRKCZPRKD1PRKD3PTGS1PTGS2RBX1RENRETROCK1ROCK2RPE65RRM1RRM2RRM2BS1PR1S1PR2S1PR3S1PR4S1PR5SCN10ASCN11ASCN1ASCN2ASCN3ASCN4ASCN5ASCN7ASCN8ASCN9ASCNN1ASCNN1BSCNN1GSIGMAR1SLC18A2SLC6A1SLC6A2SLC6A3SLC6A4SLC9A3SRCTACR1TOP1TOP2ATOP2BTTRTYMPdacAdacBdacCembAfolAftsIgyrAgyrBmrcAmrcBmrdAparCparEpolrplArplBrplCrplDrplErplFrplIrplJrplKrplLrplMrplNrplOrplPrplQrplRrplSrplTrplUrplVrplWrplXrplYrpmArpmBrpmCrpmDrpmErpmE2rpmFrpmGrpmG1rpmG2rpmG3rpmHrpmIrpmJrpsArpsBrpsCrpsDrpsErpsFrpsGrpsHrpsIrpsJrpsKrpsLrpsMrpsNrpsOrpsPrpsQrpsRrpsSrpsTrpsUykgMykgO
The experimentally established mechanism targets of Hydrochloric Acid. The predicted profile below is derived independently by chemical similarity — agreement is a validation signal, a miss is honest.
Predicted protein targets (top 8)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | SIGMAR1 known ✓ | Q99720 | 2/20 | 0.33 |
| ▸ | DRD2 known ✓ | P14416 | 1/20 | 0.33 |
| ▸ | CHRNA7 known ✓ | P36544 | 1/20 | 0.33 |
| ▸ | MAPK1 | P28482 | 1/20 | 0.77 |
| ▸ | MEN1 | O00255 | 2/20 | 0.47 |
| ▸ | KMT2A | Q03164 | 2/20 | 0.47 |
| ▸ | LMNA | P02545 | 1/20 | 0.39 |
| ▸ | CYP2C9 | P11712 | 1/20 | 0.39 |
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 | |
|---|---|---|---|---|
| SCHEMBL6018054 | 0.97 | MAPK1 (0.81) | MAPK1MEN1KMT2ALMNACYP2C9 | |
| SCHEMBL113382 | 0.97 | MAPK1 (0.81) | MAPK1MEN1KMT2ALMNACYP2C9 | |
| SCHEMBL20906278 | 0.97 | MAPK1 (0.81) | MAPK1MEN1KMT2ALMNACYP2C9 | |
| SCHEMBL113383 | 0.97 | MAPK1 (0.81) | MAPK1MEN1KMT2ALMNACYP2C9 | |
| Hydrochloric Acid SCHEMBL934612 | 0.90 | MAPK1 (0.95) | MAPK1MEN1KMT2A | |
| SCHEMBL13908059 | 0.87 | MAPK1 (1.00) | MAPK1MEN1KMT2ASIGMAR1CHRNA7 | |
| SCHEMBL551145 | 0.87 | MAPK1 (1.00) | MAPK1MEN1KMT2ASIGMAR1CHRNA7 | |
| Carbamic Acid SCHEMBL12615819 | 0.84 | MAPK1 (0.63) | MAPK1MEN1KMT2ALMNACYP2C9 | |
| SCHEMBL23086048 | 0.83 | MAPK1 (0.61) | MAPK1MEN1KMT2ALMNACYP2C9 | |
| SCHEMBL12593647 | 0.81 | — | — |
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 930 patents — showing the first 20. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| US-12584991-B2 | UWB-based in-vehicle 3D localization of mobile devices | GM Global Technology Operations LLC (US) | 2026-03-24 | — | — | US | claimed |
| WO-2025233724-A1 | METHOD FOR PERFORMING DATA SEARCH IN DISK, AND DISK DATA INDEX GENERATION METHOD | 云智能资产控股（新加坡）私人股份有限公司 | 2025-11-13 | — | — | WO | claimed |
| US-20250225200-A1 | SPLINE CURVE INTERPOLATION METHOD AND SYSTEM BASED ON ARC LENGTH PREDICTION AND ITERATIVE TUNING | SHANDONG UNIVERSITY (CN) | 2025-07-10 | — | — | US | claimed |
| EP-4576694-A1 | COMMUNICATION METHOD AND RELATED APPARATUS | Huawei Technologies Co., Ltd. (CN) | 2025-06-25 | — | — | EP | claimed |
| CN-120196840-A | Lithium ion battery SOC estimation method, system, computing equipment and medium based on improved volume Kalman filtering | 广西电网有限责任公司电力科学研究院 | 2025-06-24 | — | — | CN | claimed |
| CN-120196875-A | Optimization method for engineering monitoring data | 西安铁一院工程咨询管理有限公司 | 2025-06-24 | — | — | CN | claimed |
| CN-114755593-B | Fusion method for estimating state of charge of lithium ion battery | 中国矿业大学 | 2025-06-24 | — | — | CN | claimed |
| CN-118940672-B | LBM-based capillary groove section optimization design method, medium and equipment | 中南大学 | 2025-06-10 | — | — | CN | claimed |
| CN-120074217-A | Aviation power supply power factor correction system and method based on multi-rate control | 电子科技大学 | 2025-05-30 | — | — | CN | claimed |
| US-12314198-B1 | Synchronization optimization method for EtherCAT master slaves | CHINA JILIANG UNIVERSITY (CN) | 2025-05-27 | — | — | US | claimed |
| CN-114142923-A | Optical cable fault positioning method, device, equipment and readable medium | 中国移动通信集团安徽有限公司 | 2022-03-04 | — | — | CN | claimed |
| CN-114124717-A | Distribution network line topology visual monitoring method based on Internet of things technology | 国网黑龙江省电力有限公司绥化供电公司 | 2022-03-01 | — | — | CN | claimed |
| CN-114114929-A | Unmanned vehicle path tracking method based on LSSVM | 北京航空航天大学 | 2022-03-01 | — | — | CN | claimed |
| CN-114111692-A | Track height irregularity measuring method based on zero-phase filtering | 北京自动化控制设备研究所 | 2022-03-01 | — | — | CN | claimed |
| CN-114035142-A | Electric energy meter error compensation method and system based on segmented Lagrange interpolation | 湖南师范大学 | 2022-02-11 | — | — | CN | claimed |
| CN-114040444-A | Interference suppression method based on ultra-dense cellular network | 重庆电子工程职业学院 | 2022-02-11 | — | — | CN | claimed |
| CN-114037355-A | Optimal scheduling method and system for power generation car, electronic equipment and storage medium | 广东电网有限责任公司 | 2022-02-11 | — | — | CN | claimed |
| CN-108304974-B | Optimization C5.0 and Apriori-based civil aviation NOSHOW prediction and strong factor analysis method | 中国民航信息网络股份有限公司 | 2022-02-08 | — | — | CN | claimed |
| CN-113985812-A | Machining error forecasting method for multi-axis numerical control machine tool | 安徽科技学院 | 2022-01-28 | — | — | CN | claimed |
| CN-113960959-A | Method for tracing key geometric errors of multi-axis numerical control machine tool | 安徽科技学院 | 2022-01-21 | — | — | 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 (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-12584991-B2 | UWB-based in-vehicle 3D localization of mobile devices | KIF18B, KIF15, KIF18A | SIGMAR1 2800/4885DRD2 3512/4885CHRNA7 3026/4885 |
“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.