SCHEMBL3746735

SCHEMBL3746735

Cc1cncn1-c1ccc(Nc2ccc3c(n2)OC(c2ccccc2)CN(CCO)C3)cc1

nearest known ligand 0.37

Predicted protein targets (top 3)

geneUniProtsupporting neighboursconfidence
CNR2 P34972 6/20 0.37
CDK4 P11802 2/20 0.31
FLT3 P36888 2/20 0.31

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
SCHEMBL3746731 1.00 CNR2 (0.37) CNR2CDK4FLT3
SCHEMBL3745647 0.86 QPCT (0.35) CNR2
SCHEMBL3745645 0.86 QPCT (0.35) CNR2
SCHEMBL3745817 0.85 PSEN1 (0.42) CNR2CDK4FLT3
SCHEMBL3745810 0.85 PSEN1 (0.42) CNR2CDK4FLT3
SCHEMBL3749779 0.76 HPGD (0.36) CNR2
SCHEMBL3749775 0.76 HPGD (0.36) CNR2
SCHEMBL3740776 0.75 CNR2 (0.37) CNR2
SCHEMBL3740781 0.75 CNR2 (0.37) CNR2
SCHEMBL3751082 0.75 PSEN1 (0.42) CNR2

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
WO-2010132015-A1 NEW COMPOUNDS MODULATING GAMMA-SECRETASE AND THEIR USE IN THE TREATMENT OF ALPHA BETA RELATED PATHOLOGIES, SUCH AS ALZHEIMER'S DISEASE ASTRAZENECA AB (SE) 2010-11-18 WO claimed
WO-2010132015-A1 NEW COMPOUNDS MODULATING GAMMA-SECRETASE AND THEIR USE IN THE TREATMENT OF ALPHA BETA RELATED PATHOLOGIES, SUCH AS ALZHEIMER'S DISEASE ASTRAZENECA AB (SE) 2010-11-18 WO disclosed
US-20100292210-A1 Novel Compounds for A-Beta-Related Pathologies ASTRAZENECA AB (SE) 2010-11-18 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-20100292210-A1 Novel Compounds for A-Beta-Related Pathologies BACE1, APP, BACE2 CNR2 2755/4885CDK4 4355/4885FLT3 3976/4885

“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.