SCHEMBL7935544

SCHEMBL7935544

O=C(CS)Nc1ncccc1OCc1ccccc1

nearest known ligand 0.68

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
PPIA P62937 20/20 0.68
PPIF P30405 1/20 0.57

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
SCHEMBL10424550 0.83 PPIA (0.74) PPIAPPIF
SCHEMBL7935581 0.80 BRD4 (0.68) PPIA
SCHEMBL4121673 0.80 PPIA (0.62) PPIAPPIF
SCHEMBL2335868 0.78 PPIA (0.64) PPIAPPIF
SCHEMBL9128285 0.77 PPIA (0.62) PPIAPPIF
SCHEMBL2338840 0.76 PPIA (0.61) PPIAPPIF
SCHEMBL16566315 0.76 PPIA (0.55) PPIAPPIF
SCHEMBL2783281 0.76 PPIA (0.72) PPIAPPIF
SCHEMBL9125099 0.76 PPIA (0.72) PPIAPPIF
SCHEMBL9357673 0.75 PPIA (0.54) PPIAPPIF

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-20110034521-A1 COMPOUNDS AND METHODS FOR TREATING ZINC MATRIX METALLOPROTEASE DEPENDENT DISEASES NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2011-02-10 US disclosed
WO-2010033360-A1 METHODS OF TREATING A BOTULINUM TOXIN RELATED CONDITION IN A SUBJECT 1/3 ABSOLUTE SCIENCE, INC. (US) 2010-03-25 WO disclosed
WO-2009045761-A1 COMPOUNDS AND METHODS FOR TREATING ZINC MATRIX METALLOPROTEASE DEPENDENT DISEASES ABSOLUTE SCIENCE, INC. (US) 2009-04-09 WO 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-20110034521-A1 COMPOUNDS AND METHODS FOR TREATING ZINC MATRIX METALLOPROTEASE DEPENDENT DISEASES MMP7, MMP3, MMP9 PPIA 1053/4885PPIF 1169/4885

“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.