SCHEMBL20005054

SCHEMBL20005054

CN(CCF)C(=O)c1ccc(C#Cc2cc3cccnc3[nH]2)cc1

nearest known ligand 0.69

Predicted protein targets (top 6)

geneUniProtsupporting neighboursconfidence
SNCA P37840 9/20 0.69
MAPT P10636 5/20 0.69
RIPK1 Q13546 7/20 0.43
ACACB O00763 2/20 0.39
SLC6A7 Q99884 1/20 0.36
HDAC6 Q9UBN7 1/20 0.36

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
SCHEMBL20004553 0.81 SNCA (1.00) SNCAMAPT
SCHEMBL20005045 0.80 SNCA (0.72) SNCAMAPTRIPK1ACACB
SCHEMBL20004597 0.79 SNCA (0.94) SNCAMAPTRIPK1
SCHEMBL20004397 0.76 SNCA (0.73) SNCAMAPTACACB
SCHEMBL20004711 0.75 SNCA (0.80) SNCAMAPTRIPK1
SCHEMBL20005056 0.75 SNCA (0.69) SNCAMAPTRIPK1
SCHEMBL20005089 0.75 SNCA (0.79) SNCAMAPTRIPK1ACACB
SCHEMBL20005063 0.75 SNCA (0.65) SNCAMAPT
SCHEMBL20004389 0.75 SNCA (1.00) SNCAMAPTRIPK1
SCHEMBL20005052 0.74 SNCA (0.64) SNCAMAPTRIPK1

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 7 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-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
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
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 3/4885RIPK1 3312/4885
US-20190211011-A1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES PSEN2, SNCA, MAPT SNCA 2/4885MAPT 3/4885RIPK1 3202/4885

“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.