SCHEMBL21147290

SCHEMBL21147290

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

nearest known ligand 0.72

Predicted protein targets (top 8)

geneUniProtsupporting neighboursconfidence
SNCA P37840 12/20 0.72
MAPT P10636 7/20 0.72
APP P05067 3/20 0.40
NPC1 O15118 3/20 0.36
RAB9A P51151 1/20 0.36
RXFP1 Q9HBX9 1/20 0.36
ACACB O00763 1/20 0.35
ADK P55263 1/20 0.35

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
SCHEMBL21115264 0.84 SNCA (1.00) SNCAMAPTAPPNPC1RAB9A
SCHEMBL20004677 0.84 SNCA (1.00) SNCAMAPTAPP
SCHEMBL20004389 0.80 SNCA (1.00) SNCAMAPTAPP
SCHEMBL20004550 0.77 SNCA (1.00) SNCAMAPTAPP
SCHEMBL22537841 0.76 SNCA (0.73) SNCAMAPTAPPADK
SCHEMBL20004997 0.76 SNCA (1.00) SNCAMAPTAPPNPC1ADK
SCHEMBL20004552 0.76 SNCA (1.00) SNCAMAPTNPC1RAB9ARXFP1
SCHEMBL22537877 0.75 SNCA (0.75) SNCAMAPTAPPADK
SCHEMBL22537668 0.74 SNCA (0.58) SNCAMAPTAPPNPC1RAB9A
SCHEMBL20004518 0.74 SNCA (1.00) SNCAMAPTAPP

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
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
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

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.