SCHEMBL16260375

SCHEMBL16260375

Cc1ccc(NC(=O)c2ccc(S(C)(=O)=O)cc2NCCCCCCN)c(C(=O)Nc2ccc(Cl)cn2)c1

nearest known ligand 0.89

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
F10 P00742 20/20 0.89
KLKB1 P03952 1/20 0.45

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
SCHEMBL15855103 1.00 F10 (0.89) F10KLKB1
SCHEMBL15855123 1.00 F10 (0.89) F10KLKB1
SCHEMBL15855156 0.94 F10 (1.00) F10KLKB1
SCHEMBL15855117 0.94 F10 (1.00) F10KLKB1
SCHEMBL15856101 0.94 F10 (1.00) F10KLKB1
SCHEMBL15855120 0.92 F10 (0.74) F10KLKB1
SCHEMBL15855152 0.89 F10 (0.78) F10KLKB1
SCHEMBL19527197 0.89 F10 (0.78) F10KLKB1
SCHEMBL15855157 0.83 F10 (0.74) F10
SCHEMBL19957986 0.82 F10 (0.77) F10KLKB1

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
US-9644195-B2 Compounds and methods for purification of serine proteases PORTOLA PHARMACEUTICALS, INC. (US) 2017-05-09 US disclosed
US-20150337285-A1 COMPOUNDS AND METHODS FOR PURIFICATION OF SERINE PROTEASES ALEXION PHARMA INTERNATIONAL OPERATIONS UNLIMITED COMPANY (IE) 2015-11-26 US disclosed
US-20140346397-A1 COMPOUNDS AND METHODS FOR PURIFICATION OF SERINE PROTEASES ALEXION PHARMA INTERNATIONAL OPERATIONS UNLIMITED COMPANY (IE) 2014-11-27 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-20150337285-A1 COMPOUNDS AND METHODS FOR PURIFICATION OF SERINE PROTEASES PRSS1, HPN, PRSS8 F10 832/4885KLKB1 117/4885

“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.