SCHEMBL29410457

SCHEMBL29410457

CCCOc1ccc(C2CN(Cc3ccc4ccccc4c3)C(=O)N2c2ccc3[nH]cnc3c2)cc1

nearest known ligand 0.53

Predicted protein targets (top 5)

geneUniProtsupporting neighboursconfidence
▸ QPCT Q16769 17/20 0.53
▸ QPCTL Q9NXS2 2/20 0.53
▸ ALDH1A1 P00352 2/20 0.37
▸ LMNA P02545 1/20 0.34
▸ CCR5 P51681 1/20 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
SCHEMBL1673351 1.00 QPCT (0.53) QPCTQPCTLALDH1A1LMNACCR5
SCHEMBL1444538 0.92 QPCT (0.56) QPCTQPCTLALDH1A1LMNA
SCHEMBL1444426 0.85 QPCT (0.54) QPCTQPCTLALDH1A1
SCHEMBL29410593 0.84 QPCT (0.53) QPCTQPCTLALDH1A1
SCHEMBL1673327 0.84 QPCT (0.53) QPCTQPCTLALDH1A1
SCHEMBL12812830 0.78 QPCT (0.42) QPCTQPCTL
SCHEMBL12733047 0.78 QPCT (0.42) QPCTQPCTL
Varoglutamstat SCHEMBL29359228 0.77 QPCT (0.85) QPCTQPCTL
Varoglutamstat SCHEMBL1445235 0.77 QPCT (0.85) QPCTQPCTL
Varoglutamstat SCHEMBL29410462 0.77 QPCT (0.85) QPCTQPCTL

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 1/4885QPCTL 2/4885ALDH1A1 3827/4885

“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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