SCHEMBL5459248

SCHEMBL5459248

O=C(ONc1ccccc1Oc1ccc(O)c(O)c1)c1ccc(O)c(O)c1

nearest known ligand 0.46

Predicted protein targets (top 16)

geneUniProtsupporting neighboursconfidence
TERT O14746 1/20 0.46
TOP1 P11387 1/20 0.46
CA12 O43570 3/20 0.45
CA1 P00915 3/20 0.45
CA2 P00918 3/20 0.45
CA7 P43166 3/20 0.45
CA9 Q16790 3/20 0.45
CA14 Q9ULX7 3/20 0.45
XDH P47989 1/20 0.45
ESR1 P03372 1/20 0.41
ESR2 Q92731 1/20 0.41
TTR P02766 1/20 0.40
SERPINE1 P05121 1/20 0.37
PYGM P11217 2/20 0.37
PTPN1 P18031 1/20 0.37
PYGL P06737 1/20 0.37

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
SCHEMBL109064 0.81 TOP1 (0.68) TERTTOP1PYGMPYGL
SCHEMBL4345171 0.78 CA12 (0.50) TOP1CA12CA1CA2CA7
SCHEMBL1600762 0.74 TOP1 (0.53) TERTTOP1PYGMPYGL
Protocatechuic Acid SCHEMBL5459242 0.70 TTR (0.56) CA12CA1CA2CA7CA9
SCHEMBL9768032 0.70 TTR (0.49) TERTTOP1ESR1ESR2TTR
SCHEMBL13286773 0.70 SERPINE1 (0.70) TERTTOP1CA12CA1CA2
SCHEMBL2525246 0.67 SERPINE1 (0.61) TERTTOP1CA12CA1CA2
SCHEMBL13286874 0.66 CA12 (0.62) TOP1CA12CA1CA2CA7
SCHEMBL30674458 0.66 NSD2 (0.71) CA12CA1CA2CA7CA9
SCHEMBL8204859 0.66 NSD2 (0.71) CA12CA1CA2CA7CA9

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
US-20070276034-A1 Compounds, compositions and methods for the treatment of synucleinopathies PROTEOTECH, INC. 2007-11-29 US 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-20070276034-A1 Compounds, compositions and methods for the treatment of synucleinopathies SNCA, PARK7, COMT TERT 1094/4885TOP1 3007/4885CA12 4772/4885

“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.