SCHEMBL19995089

SCHEMBL19995089

C#Cc1ccc(N(C)CCOS(=O)(=O)c2ccc(C)cc2)cc1

nearest known ligand 0.38

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
MAPT P10636 2/20 0.38
MCOLN3 Q8TDD5 1/20 0.38
CA12 O43570 4/20 0.36
CA9 Q16790 4/20 0.36
CA1 P00915 3/20 0.36
CA2 P00918 3/20 0.36
CA4 P22748 1/20 0.36
CA14 Q9ULX7 1/20 0.36
PPARG P37231 1/20 0.34
ALDH1A1 P00352 1/20 0.33
LMNA P02545 1/20 0.33
MAPK1 P28482 1/20 0.33
GFER P55789 1/20 0.33
MCL1 Q07820 1/20 0.33
TDP1 Q9NUW8 1/20 0.33
STAT3 P40763 1/20 0.33
MEN1 O00255 1/20 0.33
KMT2A Q03164 1/20 0.33
AGER Q15109 1/20 0.33
F2 P00734 1/20 0.33

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
SCHEMBL5258061 0.87 HCRTR2 (0.45) ALDH1A1KMT2AHCRTR2
SCHEMBL5259457 0.83 CNR2 (0.45) MAPTMCOLN3ALDH1A1LMNA
SCHEMBL5258720 0.82 CA12 (0.50) MAPTMCOLN3CA12CA9CA2
SCHEMBL1852056 0.81 CYP2A6 (0.42) MAPTMCOLN3CA12CA9CA1
SCHEMBL3577278 0.80 MAPT (0.51) MAPTCA12CA9CA1CA2
SCHEMBL20099732 0.79 MAPT (0.41) MAPTMCOLN3PPARGALDH1A1LMNA
SCHEMBL15326042 0.76 BCHE (0.38) MCOLN3CA12CA9CA1ALDH1A1
SCHEMBL3614979 0.76 CA12 (0.49) MAPTMCOLN3CA12CA9CA1
SCHEMBL13817382 0.76 CYP2D6 (0.43) MAPTMCOLN3CA12CA9CA1
SCHEMBL25605413 0.75 SMN1; SMN2 (0.41) MAPTCA12CA9CA1CA2

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 5 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
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
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 MAPT 3/4885MCOLN3 1002/4885CA12 1000/4885
US-20190211011-A1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES PSEN2, SNCA, MAPT MAPT 3/4885MCOLN3 1094/4885CA12 983/4885

“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.