SCHEMBL13233175

SCHEMBL13233175

CC(C)OC(=O)N1CCCC(N(Cc2cc(CF)cc(C(F)(F)F)c2)c2nnn(C)n2)c2cc3c(cc21)CCC3

nearest known ligand 0.57

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
CETP P11597 20/20 0.57

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
SCHEMBL13232685 1.00 CETP (0.57) CETP
SCHEMBL13233200 1.00 CETP (0.57) CETP
SCHEMBL1381844 0.96 CETP (0.62) CETP
SCHEMBL1381841 0.96 CETP (0.62) CETP
SCHEMBL2481317 0.96 CETP (0.62) CETP
SCHEMBL1382103 0.94 CETP (0.62) CETP
SCHEMBL13232625 0.91 CETP (0.48) CETP
SCHEMBL2475299 0.90 CETP (0.61) CETP
SCHEMBL2475296 0.90 CETP (0.61) CETP
SCHEMBL2475209 0.89 CETP (0.53) CETP

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20100204207-A1 Compounds and Methods for Treating Dyslipidemia CHEN XINCHAO 2010-08-12 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-20100204207-A1 Compounds and Methods for Treating Dyslipidemia APOB, LIPC, PCSK9 CETP 6/4885

“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.