SCHEMBL14095984

SCHEMBL14095984

COc1cc2c(Nc3ccccc3)ncnc2cc1OCC1CCN(C)CC1

nearest known ligand 0.89

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
EGFR P00533 20/20 0.89

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
SCHEMBL30891807 1.00 EGFR (0.89) EGFR
SCHEMBL21473613 0.93 EGFR (1.00) EGFR
SCHEMBL30378145 0.93 EGFR (1.00) EGFR
SCHEMBL21462325 0.90 EGFR (0.83) EGFR
SCHEMBL28959241 0.89 EGFR (0.77) EGFR
SCHEMBL28959187 0.88 EGFR (0.87) EGFR
SCHEMBL30016823 0.88 EGFR (0.87) EGFR
SCHEMBL21473563 0.87 EGFR (0.81) EGFR
SCHEMBL30018005 0.86 EGFR (0.81) EGFR
SCHEMBL4552440 0.86 EGFR (0.70) EGFR

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20080199480-A1 Methods for Identifying Risk of Type II Diabetes and Treatments Thereof SEQUENOM, INC. (US) 2008-08-21 US disclosed
US-20080199480-A1 Methods for Identifying Risk of Type II Diabetes and Treatments Thereof SEQUENOM, INC. (US) 2008-08-21 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.

PatentTitleText reads most aboutPredicted target · text-rank
US-20080199480-A1 Methods for Identifying Risk of Type II Diabetes and Treatments Thereof SLC5A2, GCKR, IAPP EGFR 3981/4885

“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.