SCHEMBL29410497

SCHEMBL29410497

O=C1NCN(c2ccc3[nH]cnc3c2)C1c1cc(F)cc(F)c1F

nearest known ligand 0.55

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
▸ QPCT Q16769 18/20 0.55
▸ HSD11B1 P28845 2/20 0.34

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
SCHEMBL1444013 1.00 QPCT (0.55) QPCTHSD11B1
SCHEMBL12274018 0.79 QPCT (0.85) QPCTHSD11B1
SCHEMBL1444262 0.78 QPCT (0.52) QPCT
SCHEMBL12456212 0.78 QPCT (0.69) QPCT
SCHEMBL27957178 0.77 QPCT (0.46) QPCTHSD11B1
SCHEMBL21793566 0.77 QPCT (0.49) QPCT
SCHEMBL12273851 0.76 QPCT (0.56) QPCT
SCHEMBL4299934 0.75 QPCT (0.55) QPCT
SCHEMBL12274270 0.74 QPCT (0.54) QPCT
SCHEMBL12456207 0.74 QPCT (0.56) QPCT

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
EP-3658141-B1 TREATING PATHOLOGICAL CONDITIONS BY DIRECT AND INDIRECT TARGETING OF SIRPALPHA - CD47 INTERACTION STICHTING HET NEDERLANDS KANKER INST ANTONI VAN LEEUWENHOEK ZIEKENHUIS (NL) 2022-11-16 — — EP claimed
US-20220087981-A1 TREATING PATHOLOGICAL CONDITIONS BY DIRECT AND INDIRECT TARGETING OF SIRPA-CD47 INTERACTION Stichting Het Nederlands Kanker Instituut-Antoni van Leeuwenhoek Ziekenhuis (NL) 2022-03-24 — — 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-20220087981-A1 TREATING PATHOLOGICAL CONDITIONS BY DIRECT AND INDIRECT TARGETING OF SIRPA-CD47 INTERACTION QPCT, QPCTL, CD47 QPCT 1/4885HSD11B1 4319/4885

“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.

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