SCHEMBL20005052

SCHEMBL20005052

FCCOc1ccc(C#Cc2cc3cccnc3[nH]2)cc1

nearest known ligand 0.64

Predicted protein targets (top 10)

geneUniProtsupporting neighboursconfidence
SNCA P37840 7/20 0.64
MAPT P10636 4/20 0.64
APP P05067 9/20 0.42
RIPK1 Q13546 3/20 0.41
CCNB2 O95067 1/20 0.41
CDK1 P06493 1/20 0.41
CCNB1 P14635 1/20 0.41
CCNB3 Q8WWL7 1/20 0.41
DRD2 P14416 1/20 0.39
DRD3 P35462 1/20 0.39

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
SCHEMBL20004513 0.93 SNCA (0.59) SNCAMAPTAPPRIPK1CCNB2
SCHEMBL20005065 0.85 SNCA (0.59) SNCAMAPTAPPRIPK1
SCHEMBL22537623 0.83 SNCA (0.57) SNCAMAPTAPPRIPK1
SCHEMBL20004519 0.83 SNCA (0.67) SNCAMAPTAPPRIPK1CCNB2
SCHEMBL19995042 0.81 MAPT (0.60) SNCAMAPTAPPDRD2DRD3
SCHEMBL20005072 0.81 SNCA (0.68) SNCAMAPTRIPK1CCNB2CDK1
SCHEMBL20005009 0.80 SNCA (0.64) SNCAMAPTRIPK1
SCHEMBL20004553 0.78 SNCA (1.00) SNCAMAPTAPP
SCHEMBL20005138 0.78 SNCA (0.72) SNCAMAPTRIPK1CCNB2CDK1
SCHEMBL20004279 0.78 SNCA (0.68) SNCAMAPTAPPRIPK1

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 3/4885APP 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.