SCHEMBL20005123

SCHEMBL20005123

Fc1cnc2[nH]c(C#Cc3ccc(N4CCC5(CCCC5)CC4)cc3)cc2c1

nearest known ligand 0.56

Predicted protein targets (top 14)

geneUniProtsupporting neighboursconfidence
SNCA P37840 7/20 0.56
ALK Q9UM73 1/20 0.36
MAPT P10636 3/20 0.36
ACACB O00763 3/20 0.33
PIK3CA P42336 1/20 0.33
MTOR P42345 1/20 0.33
JAK2 O60674 2/20 0.33
WEE1 P30291 2/20 0.33
VCP P55072 1/20 0.33
PTK2 Q05397 1/20 0.32
CYP11B1 P15538 1/20 0.31
CYP11B2 P19099 1/20 0.31
KDM4E B2RXH2 1/20 0.31
TP53 P04637 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
SCHEMBL20005126 0.87 SNCA (0.43) SNCAALKMAPTACACBPIK3CA
SCHEMBL20004718 0.86 SNCA (0.60) SNCAALKMAPTJAK2PTK2
SCHEMBL20005066 0.82 SNCA (0.58) SNCAALKMAPTVCPKDM4E
SCHEMBL20004511 0.81 SNCA (0.57) SNCAALKMAPTPIK3CAJAK2
SCHEMBL20005047 0.80 SNCA (0.53) SNCAALKMAPTACACBVCP
SCHEMBL20005044 0.78 SNCA (0.55) SNCAMAPTACACBTP53
SCHEMBL21147622 0.78 SNCA (0.53) SNCAALKMAPTACACBVCP
SCHEMBL20004447 0.75 SNCA (0.70) SNCAMAPT
SCHEMBL20005086 0.74 SNCA (0.58) SNCAMAPTMTORKDM4E
SCHEMBL22537769 0.73 SNCA (0.71) SNCAMAPT

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 4/4885ALK 4741/4885MAPT 3/4885
US-20190211011-A1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES PSEN2, SNCA, MAPT SNCA 2/4885ALK 4722/4885MAPT 3/4885

“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.