SCHEMBL12426385

SCHEMBL12426385

CCOC(=O)C1=CN(C)c2cccc(OC(=S)N(C)C)c2C1

nearest known ligand 0.80

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
ACHE P22303 1/20 0.80
TSHR P16473 1/20 0.33
MAPT P10636 3/20 0.33
KDM4E B2RXH2 2/20 0.33
LMNA P02545 1/20 0.33
GLA P06280 1/20 0.33
HTT P42858 1/20 0.33
NPSR1 Q6W5P4 1/20 0.33
HSD17B10 Q99714 3/20 0.32
ALDH1A1 P00352 2/20 0.32
GAA P10253 2/20 0.32
HPGD P15428 2/20 0.32
ALOX15 P16050 2/20 0.32
CA12 O43570 1/20 0.32
CA1 P00915 1/20 0.32
CA2 P00918 1/20 0.32
CA7 P43166 1/20 0.32
CA9 Q16790 1/20 0.32
CA14 Q9ULX7 1/20 0.32
MAPK1 P28482 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
SCHEMBL12426384 0.89 ACHE (1.00) ACHE
SCHEMBL12426476 0.78 ACHE (0.79) ACHE
SCHEMBL12426382 0.77 ACHE (0.66) ACHETSHRMAPTKDM4EHSD17B10
SCHEMBL12426478 0.76 ACHE (0.77) ACHE
SCHEMBL12426381 0.73 ACHE (0.72) ACHETSHRMAPTKDM4EHSD17B10
SCHEMBL12426380 0.73 ACHE (0.72) ACHETSHRMAPTKDM4ELMNA
SCHEMBL7281303 0.73 CA12 (0.47) ACHETSHRMAPTKDM4ELMNA
SCHEMBL12426406 0.72 ACHE (0.45) ACHETSHRMAPTKDM4EHSD17B10
SCHEMBL12426473 0.72 ACHE (0.71) ACHE
SCHEMBL12426331 0.71 ACHE (0.57) ACHETSHRMAPTKDM4ELMNA

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 5 patents. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-1868998-B1 NEW HETEROCYCLIC COMPOUNDS, THEIR PREPARATION AND THEIR USE AS MEDICAMENTS, IN PARTICULAR AS ANTI-ALZHEIMER AGENTS VFP THERAPIES (FR) 2016-05-25 EP disclosed
US-7977354-B2 Heterocyclic compounds, their preparation and their use as medicaments, in particular as anti-alzheimer agents INSA ROUEN (FR) 2011-07-12 US disclosed
US-7977354-B2 Heterocyclic compounds, their preparation and their use as medicaments, in particular as anti-alzheimer agents INSA ROUEN (FR) 2011-07-12 US disclosed
US-20090062279-A1 HETEROCYCLIC COMPOUNDS, THEIR PREPARATION AND THEIR USE AS MEDICAMENTS, IN PARTICULAR AS ANTI-ALZHEIMER AGENTS INSA ROUEN (FR) 2009-03-05 US disclosed
US-20090062279-A1 HETEROCYCLIC COMPOUNDS, THEIR PREPARATION AND THEIR USE AS MEDICAMENTS, IN PARTICULAR AS ANTI-ALZHEIMER AGENTS INSA ROUEN (FR) 2009-03-05 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-20090062279-A1 HETEROCYCLIC COMPOUNDS, THEIR PREPARATION AND THEIR USE AS MEDICAMENTS, IN PARTICULAR AS ANTI-ALZHEIMER AGENTS NLN, SNCA, APP ACHE 17/4885TSHR 4786/4885MAPT 14/4885

“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.