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 20)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | JAK2 known ✓ | O60674 | 9/20 | 0.60 |
| ▸ | EGFR known ✓ | P00533 | 2/20 | 0.58 |
| ▸ | PRKD3 known ✓ | O94806 | 1/20 | 0.58 |
| ▸ | PRKCG known ✓ | P05129 | 1/20 | 0.58 |
| ▸ | PRKCB known ✓ | P05771 | 1/20 | 0.58 |
| ▸ | LCK known ✓ | P06239 | 1/20 | 0.58 |
| ▸ | PRKCA known ✓ | P17252 | 1/20 | 0.58 |
| ▸ | PRKCH known ✓ | P24723 | 1/20 | 0.58 |
| ▸ | PRKCI known ✓ | P41743 | 1/20 | 0.58 |
| ▸ | PRKCE known ✓ | Q02156 | 1/20 | 0.58 |
| ▸ | PRKCQ known ✓ | Q04759 | 1/20 | 0.58 |
| ▸ | PRKCZ known ✓ | Q05513 | 1/20 | 0.58 |
| ▸ | PRKCD known ✓ | Q05655 | 1/20 | 0.58 |
| ▸ | PRKD1 known ✓ | Q15139 | 1/20 | 0.58 |
| ▸ | HDAC1 known ✓ | Q13547 | 1/20 | 0.55 |
| ▸ | HDAC6 known ✓ | Q9UBN7 | 1/20 | 0.55 |
| ▸ | CDK4 known ✓ | P11802 | 2/20 | 0.51 |
| ▸ | KDR known ✓ | P35968 | 1/20 | 0.51 |
| ▸ | ACVR1 known ✓ | Q04771 | 1/20 | 0.49 |
| ▸ | ZAP70 | P43403 | 1/20 | 0.58 |
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 | |
|---|---|---|---|---|
| SCHEMBL659614 | 0.99 | JAK2 (0.61) | JAK2EGFRPRKD3PRKCGPRKCB | |
| SCHEMBL10192761 | 0.94 | JAK2 (0.59) | JAK2EGFRPRKD3PRKCGPRKCB | |
| SCHEMBL10245770 | 0.91 | JAK2 (0.62) | JAK2EGFRJAK3HDAC1HDAC6 | |
| SCHEMBL10246683 | 0.90 | JAK2 (0.61) | JAK2EGFRJAK3HDAC1HDAC6 | |
| SCHEMBL10246893 | 0.89 | JAK2 (0.64) | JAK2EGFRZAP70JAK3HDAC1 | |
| SCHEMBL10246812 | 0.88 | CDK2 (0.58) | JAK2EGFRPRKD3PRKCGPRKCB | |
| SCHEMBL10245501 | 0.88 | PRKD3 (0.57) | JAK2EGFRPRKD3PRKCGPRKCB | |
| SCHEMBL10246390 | 0.88 | JAK2 (0.59) | JAK2EGFRZAP70JAK3HDAC1 | |
| SCHEMBL10245417 | 0.88 | PRKD3 (0.56) | JAK2EGFRPRKD3PRKCGPRKCB | |
| SCHEMBL14755163 | 0.88 | EGFR (0.54) | JAK2EGFRPRKD3PRKCGPRKCB |
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 15 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| US-20140364430-A1 | METHODS FOR TREATING SCHIZOPHRENIA | AFRAXIS HOLDINGS INC (US) | 2014-12-11 | — | — | US | disclosed |
| US-8674095-B2 | Compounds for treating neuropsychiatric conditions | AFRAXIS HOLDINGS, INC. (US) | 2014-03-18 | — | — | US | disclosed |
| US-20130096115-A1 | METHODS FOR TREATING AUTISM | AFRAXIS, INC. (US) | 2013-04-18 | — | — | US | disclosed |
| US-20130059824-A1 | METHODS FOR TREATING MILD COGNITIVE IMPAIRMENT | AFRAXIS, INC. (US) | 2013-03-07 | — | — | US | disclosed |
| EP-2519241-A2 | METHODS FOR TREATING AUTISM | Afraxis, Inc. (US) | 2012-11-07 | — | — | EP | disclosed |
| US-20120270844-A1 | METHODS FOR TREATING ALZHEIMER'S DISEASE | AFRAXIS, INC. (US) | 2012-10-25 | — | — | US | disclosed |
| EP-2504011-A2 | METHODS FOR TREATING MILD COGNITIVE IMPAIRMENT | Afraxis, Inc. (US) | 2012-10-03 | — | — | EP | disclosed |
| EP-2485733-A2 | METHODS FOR TREATING ALZHEIMER'S DISEASE | Afraxis, Inc. (US) | 2012-08-15 | — | — | EP | disclosed |
| US-20120184547-A1 | METHODS FOR TREATING SCHIZOPHRENIA | AFRAXIS, INC. (US) | 2012-07-19 | — | — | US | disclosed |
| EP-2453896-A2 | METHODS FOR TREATING SCHIZOPHRENIA | Afraxis, Inc. (US) | 2012-05-23 | — | — | EP | disclosed |
| US-20120046283-A1 | COMPOUNDS FOR TREATING NEUROPSYCHIATRIC CONDITIONS | AFRAXIS INC. (US) | 2012-02-23 | — | — | US | disclosed |
| WO-2011090666-A2 | METHODS FOR TREATING AUTISM | AFRAXIS, INC. (US) | 2011-07-28 | — | — | WO | disclosed |
| WO-2011063415-A2 | METHODS FOR TREATING MILD COGNITIVE IMPAIRMENT | AFRAXIS, INC. (US) | 2011-05-26 | — | — | WO | disclosed |
| WO-2011044537-A2 | METHODS FOR TREATING ALZHEIMER'S DISEASE | AFRAXIS, INC. (US) | 2011-04-14 | — | — | WO | disclosed |
| WO-2011009097-A2 | METHODS FOR TREATING SCHIZOPHRENIA | AFRAXIS, INC. (US) | 2011-01-20 | — | — | WO | 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 (6 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-20120270844-A1 | METHODS FOR TREATING ALZHEIMER'S DISEASE | PSEN2, MAPT, PSEN1 | JAK2 3621/4885EGFR 3291/4885PRKD3 514/4885 |
| US-20140364430-A1 | METHODS FOR TREATING SCHIZOPHRENIA | GRIN2A, GRIN2C, GRIN3A | JAK2 3533/4885EGFR 3598/4885PRKD3 663/4885 |
| US-20130096115-A1 | METHODS FOR TREATING AUTISM | PAK2, PAK3, PAK4 | JAK2 3012/4885EGFR 4263/4885PRKD3 1170/4885 |
| US-20120046283-A1 | COMPOUNDS FOR TREATING NEUROPSYCHIATRIC CONDITIONS | PAK2, PAK5, PAK6 | JAK2 1537/4885EGFR 4252/4885PRKD3 455/4885 |
| US-20120184547-A1 | METHODS FOR TREATING SCHIZOPHRENIA | PAK2, PAK3, PAK4 | JAK2 3244/4885EGFR 3833/4885PRKD3 632/4885 |
| US-20130059824-A1 | METHODS FOR TREATING MILD COGNITIVE IMPAIRMENT | CHAT, PSEN2, PAK2 | JAK2 4529/4885EGFR 3863/4885PRKD3 433/4885 |
“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.