SCHEMBL21115237

SCHEMBL21115237

C=Cc1ccc(CN(C)C)o1

nearest known ligand 0.50

Predicted protein targets (top 6)

geneUniProtsupporting neighboursconfidence
ACHE P22303 16/20 0.50
BCHE P06276 10/20 0.47
PRMT6 Q96LA8 1/20 0.42
PLAU P00749 1/20 0.40
CYP2A6 P11509 1/20 0.39
CYP2C19 P33261 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
SCHEMBL8011060 0.82 ACHE (0.52) ACHEBCHEPRMT6PLAUCYP2A6
SCHEMBL7998984 0.80 ACHE (0.50) ACHEBCHEPRMT6PLAUCYP2A6
SCHEMBL6214211 0.80 ALDH1A1 (0.57) ACHEBCHEPRMT6
SCHEMBL2458150 0.78 ACHE (0.74) ACHEBCHEPRMT6CYP2A6CYP2C19
SCHEMBL14433352 0.77
SCHEMBL5310160 0.76 ACHE (0.46) ACHEBCHEPRMT6PLAUCYP2A6
SCHEMBL8409438 0.74 ACHE (0.49) ACHEBCHEPRMT6PLAUCYP2A6
SCHEMBL7998986 0.73 ACHE (0.57) ACHEBCHEPRMT6CYP2A6CYP2C19
SCHEMBL10047419 0.72
SCHEMBL8011063 0.72 ACHE (0.61) ACHEBCHEPRMT6CYP2A6CYP2C19

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 2 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-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 ACHE 263/4885BCHE 344/4885PRMT6 2717/4885
US-20190211011-A1 COMPOUNDS FOR USING IN IMAGING AND PARTICULARLY FOR THE DIAGNOSIS OF NEURODEGENERATIVE DISEASES PSEN2, SNCA, MAPT ACHE 307/4885BCHE 336/4885PRMT6 2943/4885

“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.