SCHEMBL4768408

SCHEMBL4768408

Cc1nc2c(cc1C(F)(F)F)N(Cc1cccc(C(=O)O)c1)CCCC2N(Cc1cc(C(F)(F)F)cc(C(F)(F)F)c1)c1nnn(C)n1

nearest known ligand 0.51

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
CETP P11597 20/20 0.51

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
SCHEMBL4774468 0.93 CETP (0.52) CETP
SCHEMBL4768511 0.92 CETP (0.50) CETP
SCHEMBL2476157 0.89 CETP (0.56) CETP
SCHEMBL1381053 0.89 CETP (0.56) CETP
SCHEMBL4775434 0.88 CETP (0.51) CETP
SCHEMBL4765731 0.87 CETP (0.46) CETP
SCHEMBL4773127 0.87 CETP (0.48) CETP
SCHEMBL4767444 0.85 CETP (0.52) CETP
SCHEMBL4768789 0.85 CETP (0.51) CETP
SCHEMBL4765730 0.84 CETP (0.48) 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 6 patents. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-1732933-B1 COMPOUNDS FOR TREATING DYSLIPIDEMIA LILLY CO ELI (US) 2008-07-23 EP claimed
US-20070208003-A1 COMPOUNDS AND METHODS FOR TREATING DYSLIPIDEMIA ELI LILLY AND COMPANY 2007-09-06 US claimed
EP-1732933-B1 COMPOUNDS FOR TREATING DYSLIPIDEMIA LILLY CO ELI (US) 2008-07-23 EP disclosed
US-20070208003-A1 COMPOUNDS AND METHODS FOR TREATING DYSLIPIDEMIA ELI LILLY AND COMPANY 2007-09-06 US disclosed
EP-1732933-A1 COMPOUNDS AND METHODS FOR TREATING DYSLIPIDEMIA ELI LILLY AND COMPANY (US) 2006-12-20 EP disclosed
WO-2005097805-A1 COMPOUNDS AND METHODS FOR TREATING DYSLIPIDEMIA ELI LILLY AND COMPANY (US) 2005-10-20 WO 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-20070208003-A1 COMPOUNDS AND METHODS FOR TREATING DYSLIPIDEMIA PCSK9, LIPC, APOB CETP 9/4885

“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.