SCHEMBL21115293

SCHEMBL21115293

C#Cc1ccc(COCc2cccc(F)c2)cc1

nearest known ligand 0.50

Predicted protein targets (top 9)

geneUniProtsupporting neighboursconfidence
MAOB P27338 12/20 0.50
IDO1 P14902 2/20 0.50
AGXT P21549 2/20 0.50
NR4A2 P43354 1/20 0.42
PARP10 Q53GL7 1/20 0.41
MAOA P21397 2/20 0.40
TAAR1 Q96RJ0 1/20 0.40
TSHR P16473 1/20 0.39
HCAR2 Q8TDS4 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
SCHEMBL993572 0.84 MAOB (0.50) MAOBIDO1AGXTNR4A2PARP10
SCHEMBL4552178 0.84 MAOB (0.67) MAOBNR4A2PARP10MAOA
SCHEMBL28344411 0.82 IDO1 (0.69) MAOBIDO1AGXTNR4A2PARP10
SCHEMBL29566267 0.81 TSHR (0.62) MAOBIDO1AGXTMAOATSHR
SCHEMBL29089308 0.80 TSHR (0.46) MAOBTSHR
SCHEMBL992379 0.80 MAOB (0.70) MAOBIDO1AGXTPARP10TAAR1
SCHEMBL24215162 0.78 MAOB (0.57) MAOBIDO1AGXTTAAR1TSHR
SCHEMBL22537625 0.78 IDO1 (0.55) MAOBIDO1AGXT
SCHEMBL15688027 0.76 TSHR (0.56) MAOBIDO1AGXTTSHR
SCHEMBL22537516 0.74 IDO1 (0.50) MAOBIDO1AGXTMAOA

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 6 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-A1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES Centre National De La Recherche Scientifique (FR) 2019-07-31 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

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 MAOB 63/4885IDO1 1664/4885AGXT 1854/4885
US-20190211011-A1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES PSEN2, SNCA, MAPT MAOB 64/4885IDO1 2265/4885AGXT 1695/4885

“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.