SCHEMBL2880949

SCHEMBL2880949

CCCCOCCOc1ccc(C=O)cc1OC

nearest known ligand 0.75

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
FDPS P14324 2/20 0.75
ALDH1A1 P00352 13/20 0.70
MAPT P10636 11/20 0.67
HPGD P15428 8/20 0.67
CYP2C9 P11712 3/20 0.67
CYP1A2 P05177 2/20 0.67
CYP2C19 P33261 2/20 0.67
CYP2D6 P10635 1/20 0.67
LMNA P02545 4/20 0.64
SMN1; SMN2 Q16637 4/20 0.61
NPSR1 Q6W5P4 2/20 0.61
HTT P42858 2/20 0.61
L3MBTL1 Q9Y468 2/20 0.60
MEN1 O00255 1/20 0.60
POLB P06746 1/20 0.60
ALOX12 P18054 1/20 0.60
MAPK1 P28482 1/20 0.60
RECQL P46063 1/20 0.60
KMT2A Q03164 1/20 0.60
TDP1 Q9NUW8 1/20 0.60

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
SCHEMBL7361734 0.94 FDPS (0.66) FDPSALDH1A1MAPTHPGDCYP2C9
SCHEMBL686103 0.93 FDPS (0.81) FDPSALDH1A1MAPTHPGDCYP2C9
SCHEMBL29085530 0.90 FDPS (0.81) FDPSALDH1A1MAPTHPGDCYP2C9
SCHEMBL16067479 0.89 FDPS (0.74) FDPSALDH1A1MAPTHPGDCYP2C9
SCHEMBL6963840 0.88 FDPS (0.79) FDPSALDH1A1MAPTHPGDCYP2C9
SCHEMBL6372990 0.87 FDPS (0.82) FDPSALDH1A1MAPTHPGDCYP2C9
SCHEMBL8907835 0.87 FDPS (0.77) FDPSALDH1A1MAPTHPGDCYP2C9
SCHEMBL10417162 0.87 FDPS (0.77) FDPSALDH1A1MAPTHPGDCYP2C9
SCHEMBL8310250 0.87 FDPS (0.77) FDPSALDH1A1MAPTHPGDCYP2C9
SCHEMBL2818009 0.87 FDPS (0.77) FDPSALDH1A1MAPTHPGDCYP2C9

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
US-8710071-B2 Compounds, compositions and methods for reducing lipid levels CVI PHARMACEUTICALS LIMITED (KY) 2014-04-29 US disclosed
US-20120004223-A1 COMPOUNDS, COMPOSITIONS AND METHODS FOR REDUCING LIPID LEVELS CVI PHARMACEUTICALS LIMITED (KY) 2012-01-05 US disclosed
US-20110009628-A1 Compounds and Compositions for Modulating Lipid Levels and Methods of Preparing Same CVI PHARMACEUTICALS LIMITED (KY) 2011-01-13 US disclosed
WO-2011006000-A1 BERBERINE DERIVATIVES USEFUL FOR MODULATING LIPID LEVELS AND THEIR METHODS OF SYNTHESIS LIU HAIYAN (US) 2011-01-13 WO disclosed
WO-2010075469-A1 CORYDALINE DERIVATIVES USEFUL FOR REDUCING LIPID LEVELS CVI PHARMACEUTICALS LIMITED (KY) 2010-07-01 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 (2 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-20110009628-A1 Compounds and Compositions for Modulating Lipid Levels and Methods of Preparing Same LIPC, LDLR, PCSK9 FDPS 203/4885ALDH1A1 3512/4885MAPT 3477/4885
US-20120004223-A1 COMPOUNDS, COMPOSITIONS AND METHODS FOR REDUCING LIPID LEVELS LIPC, LDLR, PCSK9 FDPS 249/4885ALDH1A1 2335/4885MAPT 3124/4885

“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.