SCHEMBL17888478

SCHEMBL17888478

CNCC1CC12CCNCC2

nearest known ligand 0.33

Predicted protein targets (top 5)

geneUniProtsupporting neighboursconfidence
▸ HTR2A P28223 1/20 0.33
▸ HTR2C P28335 1/20 0.33
▸ HTR2B P41595 1/20 0.33
▸ KDM4E B2RXH2 1/20 0.31
▸ KMT2A Q03164 1/20 0.31

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
SCHEMBL25782818 0.88 HTR2A (0.31) HTR2AHTR2CHTR2B
SCHEMBL17888485 0.80 SLC6A2 (0.31) —
SCHEMBL19226487 0.79 SCN9A (0.30) —
SCHEMBL17886935 0.79 — —
SCHEMBL14297525 0.76 — —
SCHEMBL22235415 0.73 NAMPT (0.33) KDM4EKMT2A
SCHEMBL18394739 0.73 HRH3 (0.30) —
Hydrochloric Acid SCHEMBL23358284 0.71 — —
SCHEMBL21077819 0.71 — —
SCHEMBL16579986 0.71 KDM1A (0.32) KDM4EKMT2A

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20190233441-A1 TRIAZOLOPYRIDINE COMPOUNDS, COMPOSITIONS AND METHODS OF USE THEREOF GENENTECH, INC. (US) 2019-08-01 — — US disclosed
US-9873709-B2 Triazolopyridine compounds, compositions and methods of use thereof GENENTECH, INC. (US) 2018-01-23 — — US disclosed
US-20170226132-A1 TRIAZOLOPYRIDINE COMPOUNDS, COMPOSITIONS AND METHODS OF USE THEREOF GENENTECH, INC. (US) 2017-08-10 — — US disclosed
US-20160185780-A1 TRIAZOLOPYRIDINE COMPOUNDS, COMPOSITIONS AND METHODS OF USE THEREOF GENENTECH, INC. (US) 2016-06-30 — — 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 (3 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-20160185780-A1 TRIAZOLOPYRIDINE COMPOUNDS, COMPOSITIONS AND METHODS OF USE THEREOF ABL1, JAK2, JAK1 HTR2A 2521/4885HTR2C 1409/4885HTR2B 1960/4885
US-20190233441-A1 TRIAZOLOPYRIDINE COMPOUNDS, COMPOSITIONS AND METHODS OF USE THEREOF ABL1, JAK2, JAK1 HTR2A 2521/4885HTR2C 1409/4885HTR2B 1960/4885
US-20170226132-A1 TRIAZOLOPYRIDINE COMPOUNDS, COMPOSITIONS AND METHODS OF USE THEREOF ABL1, JAK2, JAK1 HTR2A 2521/4885HTR2C 1409/4885HTR2B 1960/4885

“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.

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