SCHEMBL7568016

SCHEMBL7568016

COc1cc(OC)c(CC(=O)NS(=O)(=O)Oc2c(C(C)C)cccc2C(C)C)c(OC)c1

nearest known ligand 0.69

Predicted protein targets (top 4)

geneUniProtsupporting neighboursconfidence
SOAT2 O75908 1/20 0.69
MYC P01106 1/20 0.69
SOAT1 P35610 1/20 0.69
MAP2K3 P46734 1/20 0.69

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
SCHEMBL7573873 0.85 SOAT2 (0.60) SOAT2MYCSOAT1MAP2K3
SCHEMBL7572752 0.82 SOAT2 (0.69) SOAT2MYCSOAT1MAP2K3
SCHEMBL7568854 0.82 SOAT2 (0.61) SOAT2MYCSOAT1MAP2K3
Avasimibe SCHEMBL15876 0.81 SOAT2 (1.00) SOAT2MYCSOAT1MAP2K3
SCHEMBL7567818 0.81 SOAT2 (0.73) SOAT2MYCSOAT1MAP2K3
SCHEMBL7569956 0.80 SOAT2 (0.76) SOAT2MYCSOAT1MAP2K3
SCHEMBL7567657 0.80 SOAT2 (0.79) SOAT2MYCSOAT1MAP2K3
SCHEMBL7567765 0.80 SOAT2 (0.75) SOAT2MYCSOAT1MAP2K3
SCHEMBL24233324 0.78 SOAT2 (0.87) SOAT2MYCSOAT1MAP2K3
SCHEMBL9488235 0.76 LPAR1 (0.60)

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20020183384-A1 Methods of treating nuclear factor-kappa B mediated diseases and disorders CORNICELLI JOSEPH ANTHONY (US) 2002-12-05 US disclosed
EP-1236468-A1 Sulfonylaminocarbonyl derivatives for the treatment of nuclear factor-kappa B mediated diseases and disorders WARNER-LAMBERT COMPANY (US) 2002-09-04 EP 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-20020183384-A1 Methods of treating nuclear factor-kappa B mediated diseases and disorders NFKBIA, IKBKB, RELA SOAT2 324/4885MYC 404/4885SOAT1 704/4885

“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.