SCHEMBL20005056

SCHEMBL20005056

FCCN(Cc1ccccc1)c1ccc(C#Cc2cc3cccnc3[nH]2)cc1

nearest known ligand 0.69

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
SNCA P37840 12/20 0.69
MAPT P10636 7/20 0.69
CYP2D6 P10635 1/20 0.36
TSHR P16473 1/20 0.36
LMNA P02545 1/20 0.36
GLA P06280 1/20 0.36
BLM P54132 1/20 0.36
PMP22 Q01453 1/20 0.36
SMN1; SMN2 Q16637 1/20 0.36
FNTA P49354 1/20 0.33
FNTB P49356 1/20 0.33
PGGT1B P53609 1/20 0.33
DRD2 P14416 1/20 0.33
DRD4 P21917 1/20 0.33
DRD3 P35462 1/20 0.33
RIPK1 Q13546 3/20 0.33
CHRM2 P08172 1/20 0.32
ADRA2A P08913 1/20 0.32
ADRA2B P18089 1/20 0.32
ADRA2C P18825 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
SCHEMBL20005045 0.82 SNCA (0.72) SNCAMAPTTSHRRIPK1
SCHEMBL20004553 0.81 SNCA (1.00) SNCAMAPT
SCHEMBL22537797 0.79 SNCA (0.65) SNCAMAPTRIPK1
SCHEMBL20005063 0.79 SNCA (0.65) SNCAMAPT
SCHEMBL20004597 0.79 SNCA (0.94) SNCAMAPTRIPK1
SCHEMBL20005054 0.75 SNCA (0.69) SNCAMAPTRIPK1
SCHEMBL20005009 0.75 SNCA (0.64) SNCAMAPTRIPK1
SCHEMBL20004389 0.75 SNCA (1.00) SNCAMAPTRIPK1
SCHEMBL20005052 0.74 SNCA (0.64) SNCAMAPTDRD2DRD3RIPK1
SCHEMBL20004470 0.73 SNCA (0.81) 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 3/4885CYP2D6 3438/4885
US-20190211011-A1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES PSEN2, SNCA, MAPT SNCA 2/4885MAPT 3/4885CYP2D6 3706/4885

“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.