SCHEMBL19920380

SCHEMBL19920380

Cc1cccc(C(O)C(=O)Nc2nnc(CCCCc3ccc(NC(=O)Cc4ccccc4)nn3)s2)c1

nearest known ligand 0.84

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
GLS O94925 20/20 0.84

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
SCHEMBL19920302 0.96 GLS (0.79) GLS
SCHEMBL15042421 0.95 GLS (0.84) GLS
SCHEMBL15042429 0.95 GLS (0.84) GLS
SCHEMBL14987156 0.92 GLS (1.00) GLS
SCHEMBL15042292 0.92 GLS (1.00) GLS
SCHEMBL14987455 0.92 GLS (1.00) GLS
SCHEMBL19920379 0.91 GLS (0.80) GLS
SCHEMBL22030776 0.91 GLS (0.90) GLS
SCHEMBL14986969 0.90 GLS (1.00) GLS
SCHEMBL21368633 0.90 GLS (1.00) GLS

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-20180055825-A1 TREATMENT OF CANCER WITH INHIBITORS OF GLUTAMINASE LIANG YU (US) 2018-03-01 US 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-20180055825-A1 TREATMENT OF CANCER WITH INHIBITORS OF GLUTAMINASE GLS, GLS2, GLUL GLS 1/4885

“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.