SCHEMBL16423404

SCHEMBL16423404

O=c1nc(N2CCN(c3ccc(F)cc3)CC2)ncn1Cc1ccc(Cl)cc1

nearest known ligand 0.55

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ MAPT P10636 3/20 0.55
▸ MEN1 O00255 1/20 0.49
▸ KMT2A Q03164 1/20 0.49
▸ ALDH1A1 P00352 4/20 0.47
▸ USP2 O75604 3/20 0.47
▸ CASP1 P29466 3/20 0.47
▸ CASP7 P55210 3/20 0.47
▸ HIF1A Q16665 3/20 0.47
▸ HSD17B10 Q99714 3/20 0.47
▸ CYP3A4 P08684 3/20 0.47
▸ CYP1A2 P05177 2/20 0.47
▸ LMNA P02545 1/20 0.47
▸ CYP2D6 P10635 1/20 0.47
▸ DRD2 P14416 4/20 0.46
▸ DRD3 P35462 4/20 0.46
▸ TMEM97 Q5BJF2 3/20 0.46
▸ SIGMAR1 Q99720 3/20 0.46
▸ HTR1A P08908 3/20 0.46
▸ HTR2A P28223 3/20 0.46
▸ DRD1 P21728 2/20 0.46

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.

Compoundsimilaritytop predictedshared targets
SCHEMBL16423111 0.90 MEN1 (0.49) MAPTMEN1KMT2AALDH1A1USP2
SCHEMBL16422759 0.88 SMN1; SMN2 (0.47) MAPTMEN1KMT2ALMNADRD2
SCHEMBL16534776 0.88 ADRA1D (0.42) MAPTMEN1KMT2AALDH1A1USP2
SCHEMBL16423177 0.87 ALDH1A1 (0.53) MAPTKMT2AALDH1A1USP2CASP1
SCHEMBL16422981 0.87 SMO (0.47) MAPTMEN1KMT2AALDH1A1USP2
SCHEMBL16422449 0.86 GAA (0.42) MAPTMEN1KMT2AALDH1A1USP2
SCHEMBL16423441 0.86 POLB (0.56) MAPTMEN1KMT2AALDH1A1CASP1
SCHEMBL16422994 0.85 HSP90AA1 (0.55) MEN1KMT2AHSD17B10HSP90AA1
SCHEMBL16422808 0.85 LIPE (0.44) MAPTMEN1KMT2AALDH1A1USP2
SCHEMBL16423402 0.85 MAPT (0.44) MAPTMEN1KMT2AALDH1A1USP2

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 9 patents. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-2832728-B1 TRIAZINONE COMPOUND AND T-TYPE CALCIUM CHANNEL INHIBITOR NISSAN CHEMICAL IND LTD (JP) 2018-09-05 — — EP disclosed
US-9403798-B2 Triazinone compound and T-type calcium channel inhibitor NISSAN CHEMICAL INDUSTRIES, LTD. (JP) 2016-08-02 — — US disclosed
US-9403798-B2 Triazinone compound and T-type calcium channel inhibitor NISSAN CHEMICAL INDUSTRIES, LTD. (JP) 2016-08-02 — — US disclosed
US-9403798-B2 Triazinone compound and T-type calcium channel inhibitor NISSAN CHEMICAL INDUSTRIES, LTD. (JP) 2016-08-02 — — US disclosed
US-20150065705-A1 TRIAZINONE COMPOUND AND T-TYPE CALCIUM CHANNEL INHIBITOR NISSAN CHEMICAL CORPORATION (JP) 2015-03-05 — — US disclosed
US-20150065705-A1 TRIAZINONE COMPOUND AND T-TYPE CALCIUM CHANNEL INHIBITOR NISSAN CHEMICAL CORPORATION (JP) 2015-03-05 — — US disclosed
US-20150065705-A1 TRIAZINONE COMPOUND AND T-TYPE CALCIUM CHANNEL INHIBITOR NISSAN CHEMICAL CORPORATION (JP) 2015-03-05 — — US disclosed
EP-2832728-A1 TRIAZINONE COMPOUND AND T-TYPE CALCIUM CHANNEL INHIBITOR Nissan Chemical Industries, Ltd. (JP) 2015-02-04 — — EP disclosed
CN-104203928-A Triazinone compound and T-type calcium channel inhibitor NISSAN CHEMICAL IND LTD 2014-12-10 — — 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 (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.

PatentTitleText reads most aboutPredicted target · text-rank
US-20150065705-A1 TRIAZINONE COMPOUND AND T-TYPE CALCIUM CHANNEL INHIBITOR CACNA1E, CACNA1I, CACNA1G MAPT 627/4885MEN1 3499/4885KMT2A 3129/4885

“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.

Send feedback