Known targets — ChEMBL curated mechanism
ABL1ACEACHEACVR1ADRA1AADRA1BADRA1DADRA2AADRA2BADRA2CADRB1ADRB2ADRB3AGTR1ALKAVPR1AAVPR2BCHEBCRCA2CACNA1ACACNA1BCACNA1CCACNA1DCACNA1ECACNA1FCACNA1GCACNA1HCACNA1ICACNA1SCACNA2D1CACNA2D2CACNA2D3CACNA2D4CACNB1CACNB2CACNB3CACNB4CACNG1CACNG2CACNG3CACNG4CACNG5CACNG6CACNG7CACNG8CALCRLCASRCCR5CDK4CDK6CFBCHRM1CHRM2CHRM3CHRM4CHRM5CHRNA1CHRNA3CHRNA7CHRNB1CHRNB4CHRNDCHRNECHRNGCOXFA4COXFA4L2CRBNCSF1RCUL4ACYP19A1DDB1DPP4DRD1DRD2DRD3DRD4EDNRAEGFREML4ERBB2ERBB4ESR1ESR2FGFR1FGFR3FLT1FLT3FLT4GAAGABRA1GABRA2GABRA3GABRA4GABRA5GABRA6GABRB1GABRB2GABRB3GABRDGABREGABRG1GABRG2GABRG3GABRPGABRQGHSRGLAGNRHRGPD2GRIN1GRIN2AGRIN2BGRIN2CGRIN2DGRIN3AGRIN3BGSTP1HCN4HCRTR1HCRTR2HDAC1HDAC10HDAC11HDAC2HDAC3HDAC4HDAC5HDAC6HDAC7HDAC8HDAC9HRH1HRH2HRH3HSD11B1HSP90AA1HSP90AB1HTR1AHTR1BHTR1DHTR1EHTR1FHTR2AHTR2BHTR2CHTR3AHTR3BHTR3CHTR3DHTR3EHTR4HTR5AHTR6HTR7IMPDH1IMPDH2ITGA2BITGB3ITKJAK1JAK2KCNA1KCNA10KCNA2KCNA3KCNA4KCNA5KCNA6KCNA7KCNB1KCNB2KCNC1KCNC2KCNC3KCNC4KCND1KCND2KCND3KCNF1KCNG1KCNG2KCNG3KCNG4KCNH1KCNH2KCNH3KCNH4KCNH5KCNH6KCNH7KCNH8KCNJ2KCNJ3KCNJ5KCNK3KCNK9KCNQ1KCNQ2KCNQ3KCNQ4KCNQ5KCNS1KCNS2KCNS3KCNV1KCNV2KDRKITKLKB1LCKMMAOAMAOBMAPK14METMMP1MMP13MMP7MMP8MT-ND1MT-ND2MT-ND3MT-ND4MT-ND4LMT-ND5MT-ND6NDUFA1NDUFA10NDUFA11NDUFA12NDUFA13NDUFA2NDUFA3NDUFA5NDUFA6NDUFA7NDUFA8NDUFA9NDUFAB1NDUFAF1NDUFAF2NDUFAF3NDUFAF4NDUFB1NDUFB10NDUFB11NDUFB2NDUFB3NDUFB4NDUFB5NDUFB6NDUFB7NDUFB8NDUFB9NDUFC1NDUFC2NDUFS1NDUFS2NDUFS3NDUFS4NDUFS5NDUFS6NDUFS7NDUFS8NDUFV1NDUFV2NDUFV3NR3C1NS5ANTRK1NTRK2NTRK3ODC1OPRD1OPRK1OPRM1P2RY12PAHPARP1PDE3APDE3BPDE4APDE4BPDE4CPDE4DPDE5APDE7APDE7BPDE8APDE8BPDGFRAPDGFRBPIK3CAPIK3CDPNPPOLA1POLA2POLD1POLD2POLD3POLD4POLEPOLE2POLE3PPARGPRIM1PRIM2PRKCAPRKCBPRKCDPRKCEPRKCGPRKCHPRKCIPRKCQPRKCZPRKD1PRKD3PTGS1PTGS2RBX1RENRETROCK1ROCK2RPE65RRM1RRM2RRM2BS1PR1S1PR2S1PR3S1PR4S1PR5SCN10ASCN11ASCN1ASCN2ASCN3ASCN4ASCN5ASCN7ASCN8ASCN9ASCNN1ASCNN1BSCNN1GSIGMAR1SLC18A2SLC6A1SLC6A2SLC6A3SLC6A4SLC9A3SRCTACR1TOP1TOP2ATOP2BTTRTYMPdacAdacBdacCembAfolAftsIgyrAgyrBmrcAmrcBmrdAparCparEpolrplArplBrplCrplDrplErplFrplIrplJrplKrplLrplMrplNrplOrplPrplQrplRrplSrplTrplUrplVrplWrplXrplYrpmArpmBrpmCrpmDrpmErpmE2rpmFrpmGrpmG1rpmG2rpmG3rpmHrpmIrpmJrpsArpsBrpsCrpsDrpsErpsFrpsGrpsHrpsIrpsJrpsKrpsLrpsMrpsNrpsOrpsPrpsQrpsRrpsSrpsTrpsUykgMykgO
The experimentally established mechanism targets of Zenidolol. 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 | |
|---|---|---|---|---|
| ▸ | ADRB2 known ✓ | P07550 | 6/20 | 1.00 |
| ▸ | ADRB1 known ✓ | P08588 | 5/20 | 0.97 |
| ▸ | ADRB3 known ✓ | P13945 | 3/20 | 0.97 |
| ▸ | ADRA2A known ✓ | P08913 | 1/20 | 0.97 |
| ▸ | HTR1A known ✓ | P08908 | 1/20 | 0.35 |
| ▸ | SLC6A4 known ✓ | P31645 | 1/20 | 0.35 |
| ▸ | SIGMAR1 known ✓ | Q99720 | 1/20 | 0.35 |
| ▸ | NPSR1 | Q6W5P4 | 2/20 | 1.00 |
| ▸ | MEN1 | O00255 | 1/20 | 1.00 |
| ▸ | LMNA | P02545 | 1/20 | 1.00 |
| ▸ | PMP22 | Q01453 | 1/20 | 1.00 |
| ▸ | KMT2A | Q03164 | 1/20 | 1.00 |
| ▸ | CYP2D6 | P10635 | 2/20 | 0.97 |
| ▸ | TSHR | P16473 | 2/20 | 0.97 |
| ▸ | KDM4E | B2RXH2 | 2/20 | 0.97 |
| ▸ | TP53 | P04637 | 1/20 | 0.97 |
| ▸ | CYP1A2 | P05177 | 1/20 | 0.97 |
| ▸ | CYP3A4 | P08684 | 1/20 | 0.97 |
| ▸ | NFKB1 | P19838 | 1/20 | 0.97 |
| ▸ | HIF1A | Q16665 | 1/20 | 0.97 |
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 | |
|---|---|---|---|---|
| Zenidolol SCHEMBL31074300 | 1.00 | ADRB2 (1.00) | ADRB2NPSR1MEN1LMNAPMP22 | |
| Zenidolol SCHEMBL5485188 | 1.00 | ADRB2 (1.00) | ADRB2NPSR1MEN1LMNAPMP22 | |
| Zenidolol SCHEMBL146178 | 0.99 | ADRB2 (1.00) | ADRB2NPSR1MEN1LMNAPMP22 | |
| Zenidolol SCHEMBL29387637 | 0.99 | ADRB2 (1.00) | ADRB2NPSR1MEN1LMNAPMP22 | |
| Zenidolol SCHEMBL29558331 | 0.99 | ADRB2 (1.00) | ADRB2NPSR1MEN1LMNAPMP22 | |
| Zenidolol SCHEMBL14941581 | 0.99 | ADRB2 (1.00) | ADRB2NPSR1MEN1LMNAPMP22 | |
| Zenidolol SCHEMBL8027938 | 0.99 | ADRB2 (1.00) | ADRB2NPSR1MEN1LMNAPMP22 | |
| Zenidolol SCHEMBL15058356 | 0.99 | ADRB2 (1.00) | ADRB2NPSR1MEN1LMNAPMP22 | |
| SCHEMBL15549338 | 0.84 | ADRB2 (0.74) | ADRB2NPSR1MEN1LMNAPMP22 | |
| SCHEMBL11266032 | 0.84 | ADRB2 (0.74) | ADRB2NPSR1MEN1LMNAPMP22 |
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 10 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| EP-4048809-B1 | SYSTEMS AND METHODS FOR PREDICTING THERAPEUTIC SENSITIVITY | TEMPUS AI INC (US) | 2026-05-27 | — | — | EP | disclosed |
| EP-4729940-A2 | LARGE SCALE ORGANOID ANALYSIS | Tempus AI, Inc. (US) | 2026-04-22 | — | — | EP | disclosed |
| US-20260011445-A1 | SYSTEMS AND METHODS FOR PREDICTING THERAPEUTIC SENSITIVITY | TEMPUS AI INC (US) | 2026-01-08 | — | — | US | disclosed |
| EP-4070098-B1 | LARGE SCALE ORGANOID ANALYSIS | TEMPUS AI INC (US) | 2025-12-24 | — | — | EP | disclosed |
| US-12451250-B2 | Systems and methods for predicting therapeutic sensitivity | TEMPUS AI, INC. (US) | 2025-10-21 | — | — | US | disclosed |
| US-11759445-B2 | Use of Rivastigmine in preparation of anti-radiation medicament | SOOCHOW UNIVERSITY (CN) | 2023-09-19 | — | — | US | disclosed |
| US-20220392640-A1 | SYSTEMS AND METHODS FOR PREDICTING THERAPEUTIC SENSITIVITY | TEMPUS AI, INC. | 2022-12-08 | — | — | US | disclosed |
| US-20220341914-A1 | LARGE SCALE ORGANOID ANALYSIS | TEMPUS AI, INC. (F/K/A TEMPUS LABS, INC.) | 2022-10-27 | — | — | US | disclosed |
| US-11415571-B2 | Large scale organoid analysis | TEMPUS LABS, INC. (US) | 2022-08-16 | — | — | US | disclosed |
| US-20220175714-A1 | USE OF RIVASTIGMINE IN PREPARATION OF ANTI-RADIATION MEDICAMENT | SOOCHOW UNIVERSITY (CN) | 2022-06-09 | — | — | 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 (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-20260011445-A1 | SYSTEMS AND METHODS FOR PREDICTING THERAPEUTIC SENSITIVITY | BRCA1, PARP2, PARP4 | ADRB2 3687/4885ADRB1 3784/4885ADRB3 3735/4885 |
“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.