SCHEMBL5072293

SCHEMBL5072293

CC(C)=CCc1c(O)cc2oc(-c3ccccc3)c(O)c(=O)c2c1O

nearest known ligand 0.83

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
MGAM O43451 3/20 0.74
ABCG2 Q9UNQ0 2/20 0.69
ABCB1 P08183 2/20 0.66
PTPN1 P18031 4/20 0.66
PDE4D Q08499 2/20 0.64
CYP19A1 P11511 5/20 0.63
FASN P49327 3/20 0.63
NUDT1 P36639 3/20 0.63
IDH1 O75874 2/20 0.63
GAA P10253 2/20 0.63
SI P14410 2/20 0.63
AKR1B1 P15121 2/20 0.63
PGAM1 P18669 2/20 0.63
MGAM2 Q2M2H8 2/20 0.63
SIRT2 Q8IXJ6 2/20 0.63
TTR P02766 1/20 0.63
PTGS1 P23219 1/20 0.63
PTGS2 P35354 1/20 0.63
SIRT1 Q96EB6 1/20 0.63
SIRT3 Q9NTG7 1/20 0.63

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
Licoflavonol SCHEMBL29392785 0.91 ABCG2 (0.82) MGAMABCG2ABCB1PTPN1PDE4D
Licoflavonol SCHEMBL8050093 0.91 ABCG2 (0.82) MGAMABCG2ABCB1PTPN1PDE4D
SCHEMBL26621022 0.90 MGAM (0.72) MGAMABCG2PTPN1PDE4DCYP19A1
Gancaonin P SCHEMBL1170933 0.87 MGAM (0.76) MGAMABCG2ABCB1PTPN1PDE4D
SCHEMBL24075660 0.85 MGAM (0.80) MGAMABCG2PTPN1PDE4DCYP19A1
SCHEMBL29833229 0.85 MGAM (0.80) MGAMABCG2PTPN1PDE4DCYP19A1
SCHEMBL26621024 0.85 MGAM (0.73) MGAMABCG2PTPN1PDE4DCYP19A1
Broussonol E SCHEMBL30341880 0.85 MGAM (1.00) MGAMABCG2PTPN1PDE4DCYP19A1
Broussonol E SCHEMBL25404646 0.85 MGAM (1.00) MGAMABCG2PTPN1PDE4DCYP19A1
SCHEMBL27625154 0.85 ABCG2 (0.67) MGAMABCG2PTPN1PDE4DCYP19A1

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-2003968-A2 COMPOSITIONS AND METHODS TO ADD VALUE TO PLANT PRODUCTS, SO INCREASING THE COMMERCIAL QUALITY, RESISTANCE TO EXTERNAL FACTORS AND POLYPHENOL CONTENT THEREOF Leschot Sanhueza, Andres Antonio (CL) 2008-12-24 EP disclosed
US-20070232495-A1 Compositions and methods to add value to plant products, increasing the commercial quality, resistance to external factors and polyphenol content thereof NAPPA ALVARO O 2007-10-04 US disclosed
WO-2007110801-A2 COMPOSITIONS AND METHODS TO ADD VALUE TO PLANT PORDUCTS, INCREASING THE COMMERCIAL QUALITY, RESISTANCE TO EXTERNAL FACTORS AND POLYPHENOL CONTENT THEREOF LESCHOT SANHUEZA ANDRES ANTONI (CL) 2007-10-04 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-20070232495-A1 Compositions and methods to add value to plant products, increasing the commercial quality, resistance to external factors and polyphenol content thereof C5, PNN, NQO1 MGAM 519/4885ABCG2 3004/4885ABCB1 3107/4885

“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.