SCHEMBL28292727

SCHEMBL28292727

CCOC(=O)C(O)(CC)C(=O)OCC

nearest known ligand 0.46

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
ALDH1A1 P00352 3/20 0.46
CYP4F2 P78329 3/20 0.45
CYP4A11 Q02928 3/20 0.45
LMNA P02545 1/20 0.43
HSD17B10 Q99714 1/20 0.43
PKM P14618 3/20 0.42
MEN1 O00255 2/20 0.42
KMT2A Q03164 2/20 0.42
KDM4E B2RXH2 1/20 0.42
ALOX15 P16050 1/20 0.42
MGAM O43451 1/20 0.42
GAA P10253 1/20 0.42
SI P14410 1/20 0.42
MGAM2 Q2M2H8 1/20 0.42
SOAT1 P35610 1/20 0.42
THRB P10828 1/20 0.41
HTT P42858 1/20 0.39
TRPA1 O75762 1/20 0.39
PIN1 Q13526 1/20 0.38
MMP8 P22894 1/20 0.38

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
SCHEMBL10951917 0.91 PKM (0.41) ALDH1A1CYP4F2CYP4A11LMNAHSD17B10
SCHEMBL1562266 0.88 CYP4F2 (0.41) ALDH1A1CYP4F2CYP4A11LMNAHSD17B10
SCHEMBL28869251 0.88 ALDH1A1 (0.44) ALDH1A1CYP4F2CYP4A11LMNAHSD17B10
SCHEMBL29368990 0.82 PKM (0.50) ALDH1A1CYP4F2CYP4A11LMNAHSD17B10
SCHEMBL27641879 0.79 CYP4F2 (0.50) ALDH1A1CYP4F2CYP4A11LMNAHSD17B10
SCHEMBL14152741 0.79 ALDH1A1 (0.46) ALDH1A1CYP4F2CYP4A11LMNAHSD17B10
SCHEMBL3430619 0.79 ALDH1A1 (0.46) ALDH1A1CYP4F2CYP4A11LMNAHSD17B10
SCHEMBL5491673 0.78 ALDH1A1 (0.50) ALDH1A1CYP4F2CYP4A11LMNAHSD17B10
SCHEMBL12386545 0.77 CYP4F2 (0.44) ALDH1A1CYP4F2CYP4A11LMNAHSD17B10
SCHEMBL5874377 0.77 CYP4F2 (0.44) ALDH1A1CYP4F2CYP4A11LMNAHSD17B10

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
CN-109738413-A Mixture Raman spectra qualitative analysis method based on sparse non-negative least square 江南大学 2019-05-10 CN disclosed