SCHEMBL20004465

SCHEMBL20004465

Fc1cnc2[nH]c(C#Cc3ccc(COCc4ccncc4)cc3)cc2c1

nearest known ligand 0.58

Predicted protein targets (top 19)

geneUniProtsupporting neighboursconfidence
SNCA P37840 9/20 0.58
MAPT P10636 5/20 0.40
SMN1; SMN2 Q16637 2/20 0.33
MAPK13 O15264 1/20 0.33
MAPK12 P53778 1/20 0.33
MAPK11 Q15759 1/20 0.33
MAPK14 Q16539 1/20 0.33
GRM4 Q14833 1/20 0.32
EPHX2 P34913 1/20 0.32
ALDH1A1 P00352 1/20 0.32
LMNA P02545 1/20 0.32
ACACB O00763 2/20 0.31
CYP1A2 P05177 1/20 0.31
GLA P06280 1/20 0.31
CYP3A4 P08684 1/20 0.31
CYP2D6 P10635 1/20 0.31
CYP2C9 P11712 1/20 0.31
CYP2C19 P33261 1/20 0.31
NPSR1 Q6W5P4 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
SCHEMBL22537895 0.87 SNCA (0.45) SNCAMAPTACACB
SCHEMBL21115138 0.81 SNCA (0.53) SNCAMAPT
SCHEMBL20005050 0.77 SNCA (0.52) SNCAMAPTALDH1A1LMNAACACB
SCHEMBL20004447 0.77 SNCA (0.70) SNCAMAPTGRM4
SCHEMBL22537769 0.75 SNCA (0.71) SNCAMAPT
SCHEMBL20004518 0.74 SNCA (1.00) SNCAMAPT
SCHEMBL20005065 0.73 SNCA (0.59) SNCAMAPT
SCHEMBL20004716 0.72 SNCA (0.68) SNCAMAPT
SCHEMBL21115232 0.71 SNCA (0.93) SNCAMAPT
SCHEMBL20005086 0.71 SNCA (0.58) SNCAMAPTALDH1A1

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 3/4885SMN1; SMN2 10/4885
US-20190211011-A1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES PSEN2, SNCA, MAPT SNCA 2/4885MAPT 3/4885SMN1; SMN2 10/4885

“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.