SCHEMBL20147726

SCHEMBL20147726

CC1CN(C(C)(C)C)CC1P

nearest known ligand 0.33

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
ATM Q13315 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
SCHEMBL16487711 0.81 ATM (0.39) ATM
SCHEMBL13292325 0.81 ATM (0.39) ATM
SCHEMBL22763813 0.81 ATM (0.39) ATM
SCHEMBL1107789 0.81 ATM (0.39) ATM
SCHEMBL15705743 0.76 ATM (0.37) ATM
SCHEMBL20115462 0.73 ATM (0.32) ATM
SCHEMBL21695310 0.73 ATM (0.32) ATM
SCHEMBL25144100 0.73
SCHEMBL29320106 0.72 ATM (0.43) ATM
SCHEMBL25532899 0.72 ATM (0.34) ATM

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 1 patent. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20180133219-A1 BIHETEROARYL COMPOUNDS AND USES THEREOF GENENTECH, INC. (US) 2018-05-17 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 (1 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-20180133219-A1 BIHETEROARYL COMPOUNDS AND USES THEREOF BCHE, SNCA, HAX1 ATM 3901/4885

“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.