SCHEMBL20004997

SCHEMBL20004997

CN(C)c1ccc(C#Cc2cc3ccc(-c4ccsc4)nc3[nH]2)cc1

nearest known ligand 1.00 ✓ in ChEMBL — recovers established targets

Predicted protein targets (top 16)

geneUniProtsupporting neighboursconfidence
SNCA P37840 12/20 1.00
MAPT P10636 7/20 0.67
APP P05067 3/20 0.37
NPC1 O15118 1/20 0.32
CCNB2 O95067 1/20 0.32
CDK1 P06493 1/20 0.32
CCNB1 P14635 1/20 0.32
GSK3B P49841 1/20 0.32
CDK5 Q00535 1/20 0.32
CDK5R1 Q15078 1/20 0.32
CCNB3 Q8WWL7 1/20 0.32
ADK P55263 2/20 0.31
ADORA3 P0DMS8 1/20 0.31
ADORA2A P29274 1/20 0.31
ADORA2B P29275 1/20 0.31
ADORA1 P30542 1/20 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
SCHEMBL20004552 0.80 SNCA (1.00) SNCAMAPTNPC1
SCHEMBL20004550 0.78 SNCA (1.00) SNCAMAPTAPP
SCHEMBL21115264 0.76 SNCA (1.00) SNCAMAPTAPPNPC1ADK
SCHEMBL20004677 0.76 SNCA (1.00) SNCAMAPTAPP
SCHEMBL21147290 0.76 SNCA (0.72) SNCAMAPTAPPNPC1ADK
SCHEMBL22537667 0.74 SNCA (0.59) SNCAMAPTAPPADK
SCHEMBL20004389 0.72 SNCA (1.00) SNCAMAPTAPPCCNB2CDK1
SCHEMBL20005001 0.72 SNCA (0.56) SNCAMAPTAPPADK
SCHEMBL22537615 0.72 SNCA (0.56) SNCAMAPTAPPADK
SCHEMBL22537806 0.68 SNCA (0.52) SNCAMAPT

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-10906900-B2 Compounds for using in imaging and particularly for the diagnosis of neurodegenerative diseases CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (FR) 2021-02-02 US disclosed
EP-3515912-B1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES CENTRE NAT RECH SCIENT (FR) 2020-10-14 EP disclosed
US-20190211011-A1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (FR) 2019-07-11 US disclosed
WO-2018055316-A1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (FR) 2018-03-29 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 (2 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-10906900-B2 Compounds for using in imaging and particularly for the diagnosis of neurodegenerative diseases PSEN2, CLN6, MAPT SNCA 4/4885MAPT 3/4885APP 15/4885
US-20190211011-A1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES PSEN2, SNCA, MAPT SNCA 2/4885MAPT 3/4885APP 16/4885

“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.