SCHEMBL20004473

SCHEMBL20004473

CN(C)Cc1ccc(C#Cc2cc3cc(F)cnc3[nH]2)s1

nearest known ligand 0.56

Predicted protein targets (top 9)

geneUniProtsupporting neighboursconfidence
SNCA P37840 7/20 0.56
MAPT P10636 3/20 0.35
SRC P12931 1/20 0.35
CYP2A6 P11509 2/20 0.34
CYP2D6 P10635 1/20 0.33
CYP2C19 P33261 1/20 0.33
NR1D1 P20393 3/20 0.31
NR1H3 Q13133 2/20 0.31
KIT P10721 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
SCHEMBL22537721 0.91 SNCA (0.54) SNCAMAPTNR1D1NR1H3
SCHEMBL20005011 0.85 SNCA (0.51) SNCAMAPTCYP2A6CYP2D6CYP2C19
SCHEMBL20004449 0.85 SNCA (0.50) SNCAMAPTKIT
SCHEMBL20004463 0.84 SNCA (0.50) SNCAMAPTKIT
SCHEMBL20004471 0.78 SNCA (0.56) SNCAMAPTCYP2A6CYP2C19KIT
SCHEMBL20004725 0.72 SNCA (0.36) SNCAMAPTKIT
SCHEMBL22537781 0.72 SNCA (0.54) SNCAMAPT
SCHEMBL20004518 0.72 SNCA (1.00) SNCAMAPT
SCHEMBL20004399 0.71 SNCA (0.75) SNCAMAPTKIT
SCHEMBL22537850 0.70 SNCA (0.47) SNCA

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 3/4885SRC 4711/4885
US-20190211011-A1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES PSEN2, SNCA, MAPT SNCA 2/4885MAPT 3/4885SRC 4711/4885

“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.