SCHEMBL13619007

SCHEMBL13619007

CN(C)C(=O)[C@H]1CC[C@H](NC(=S)ONc2ccc(Cl)nc2)[C@H](NC(=O)OC(C)(C)C)C1

nearest known ligand 0.36

Predicted protein targets (top 7)

geneUniProtsupporting neighboursconfidence
F10 P00742 13/20 0.36
F2 P00734 1/20 0.34
F5 P12259 1/20 0.34
MAPKAPK2 P49137 3/20 0.33
SYK P43405 1/20 0.33
KDM1A O60341 1/20 0.32
REN P00797 1/20 0.32

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
SCHEMBL12101123 0.87 F10 (0.37) F10F2F5MAPKAPK2REN
SCHEMBL4267977 0.87 F10 (0.37) F10F2F5MAPKAPK2REN
SCHEMBL17449866 0.79 F10 (0.45) F10F2F5
SCHEMBL4265701 0.77 F10 (0.39) F10F2F5REN
SCHEMBL4260514 0.77 F10 (0.50) F10F2F5
SCHEMBL4263467 0.76 NPC1 (0.36) F10KDM1A
SCHEMBL4263462 0.76 NPC1 (0.36) F10KDM1A
SCHEMBL4261366 0.76 F10 (0.38) F10F2F5KDM1AREN
SCHEMBL13394454 0.75 NPC1 (0.36) MAPKAPK2KDM1A
SCHEMBL715126 0.75 F10 (0.57) F10F2F5

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-20090281074-A1 DRUG COMPOSITIONS AND METHODS FOR PREVENTING AND TREATING THROMBOSIS OR EMBOLISM DAIICHI PHARMACEUTICAL CO., LTD (JP) 2009-11-12 US disclosed
US-20090281074-A1 DRUG COMPOSITIONS AND METHODS FOR PREVENTING AND TREATING THROMBOSIS OR EMBOLISM DAIICHI PHARMACEUTICAL CO., LTD (JP) 2009-11-12 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-20090281074-A1 DRUG COMPOSITIONS AND METHODS FOR PREVENTING AND TREATING THROMBOSIS OR EMBOLISM C1R, C9, F2 F10 127/4885F2 3/4885F5 29/4885

“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.