SCHEMBL14095982

SCHEMBL14095982

COc1cc2c(Nc3ccc(Cl)cc3F)ncnc2cc1OCC1CN(C2CCCC2)CCO1

nearest known ligand 0.80

Predicted protein targets (top 8)

geneUniProtsupporting neighboursconfidence
EPHA2 P29317 18/20 0.80
EPHB4 P54760 12/20 0.80
KDR P35968 15/20 0.73
ERBB2 P04626 13/20 0.73
FLT1 P17948 13/20 0.71
EGFR P00533 1/20 0.68
FGFR1 P11362 1/20 0.68
FLT4 P35916 1/20 0.68

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
SCHEMBL906884 0.89 EPHA2 (1.00) EPHA2EPHB4KDRERBB2FLT1
SCHEMBL14095979 0.87 EPHA2 (0.82) EPHA2EPHB4KDRERBB2FLT1
SCHEMBL906941 0.84 EPHA2 (1.00) EPHA2EPHB4KDRERBB2FLT1
SCHEMBL5446461 0.84 EPHA2 (0.79) EPHA2EPHB4KDRFLT1EGFR
SCHEMBL1224764 0.83 ERBB2 (1.00) EPHA2EPHB4KDRERBB2FLT1
SCHEMBL1225525 0.83 EPHA2 (1.00) EPHA2EPHB4KDRERBB2EGFR
SCHEMBL1225302 0.83 EPHA2 (1.00) EPHA2EPHB4KDRERBB2FLT1
Hydrochloric Acid SCHEMBL907918 0.83 ERBB2 (0.99) EPHA2EPHB4KDRERBB2FLT1
Hydrochloric Acid SCHEMBL907920 0.83 ERBB2 (0.99) EPHA2EPHB4KDRERBB2FLT1
SCHEMBL906990 0.82 ERBB2 (1.00) EPHA2EPHB4KDRERBB2FLT1

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 EPHA2 805/4885EPHB4 1038/4885KDR 2859/4885

“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.