SCHEMBL2945820

SCHEMBL2945820

CCOC(=O)CCCCCN(C(=O)N(CC)CCCCO)c1ccc(C(O)(C(F)(F)F)C(F)(F)F)cc1

nearest known ligand 0.74

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
MLYCD O95822 19/20 0.74
LMNA P02545 1/20 0.47

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
SCHEMBL2937267 1.00 MLYCD (0.74) MLYCDLMNA
SCHEMBL2942152 0.90 MLYCD (0.77) MLYCD
SCHEMBL2938729 0.88 MLYCD (0.77) MLYCD
SCHEMBL2943278 0.88 MLYCD (0.80) MLYCD
SCHEMBL2942934 0.88 MLYCD (0.80) MLYCD
SCHEMBL2941950 0.87 MLYCD (0.81) MLYCD
SCHEMBL6844036 0.85 MLYCD (0.87) MLYCD
SCHEMBL2943130 0.85 MLYCD (0.87) MLYCD
SCHEMBL5234307 0.85 MLYCD (0.81) MLYCD
SCHEMBL2941249 0.85 MLYCD (0.81) MLYCD

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
JP-4503232-B2 2010-07-14 JP claimed
JP-2004521113-A 2004-07-15 JP claimed
US-20040087627-A1 Methods for the treatment of diseases using malonyl-coa decarbox ylase inhibitors CHUGAI SEIYAKU KABUSHIKI KAISHA (JP) 2004-05-06 US claimed
EP-1353662-A2 METHODS FOR THE TREATMENT OF DISEASES USING MALONYL-COA DECARBOX YLASE INHIBITORS CHUGAI SEIYAKU KABUSHIKI KAISHA (JP) 2003-10-22 EP claimed
WO-2002058690-A2 METHODS FOR THE TREATMENT OF DISEASES USING MALONYL-COA DECARBOX YLASE INHIBITORS CHUGAI SEIYAKU KABUSHIKI KAISHA (JP) 2002-08-01 WO claimed

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-20040087627-A1 Methods for the treatment of diseases using malonyl-coa decarbox ylase inhibitors ME2, PC, ACACA MLYCD 6/4885LMNA 1268/4885

“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.