SCHEMBL5482410

SCHEMBL5482410

CCN(CCCCCC(N)=O)Cc1ccccc1OC

nearest known ligand 0.76

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
ACHE P22303 16/20 0.76
BCHE P06276 15/20 0.76

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
SCHEMBL9248134 0.85 ACHE (0.66) ACHEBCHE
SCHEMBL9245381 0.85 ACHE (0.66) ACHEBCHE
Hydrochloric Acid SCHEMBL9149311 0.84 ACHE (0.65) ACHEBCHE
SCHEMBL4367332 0.84 ACHE (0.75) ACHEBCHE
SCHEMBL4202137 0.84 ACHE (0.75) ACHEBCHE
SCHEMBL4200742 0.84 ACHE (0.75) ACHEBCHE
SCHEMBL4203482 0.82 ACHE (0.72) ACHEBCHE
SCHEMBL4367367 0.81 APP (0.73) ACHEBCHE
SCHEMBL4363868 0.81 ACHE (0.70) ACHEBCHE
Fumaric Acid SCHEMBL9151888 0.81 ACHE (0.60) ACHEBCHE

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20070299093-A1 Organic Compounds Useful for the Treatment of Alzheimer's Disease, Their Use and Method of Preparation Alma Mater Studiorum-Universitá Di Bologna (IT) 2007-12-27 US disclosed
US-7307083-B2 Tetrahydro-acridine and dithiolane derivatives ALMA MATER STUDIORUM-UNIVERSITA'DI BOLOGNA (IT) 2007-12-11 US disclosed
US-20070219241-A1 Organic Compounds Useful For The Treatment Of Alzheimer's Disease, Their Use And Method Of Preparation ALMA MATER STUDIORUM-UNIVERSITA'DI BOLOGNA (IT) 2007-09-20 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-20070219241-A1 Organic Compounds Useful For The Treatment Of Alzheimer's Disease, Their Use And Method Of Preparation OTC, PSEN2, PSEN1 ACHE 5/4885BCHE 7/4885
US-20070299093-A1 Organic Compounds Useful for the Treatment of Alzheimer's Disease, Their Use and Method of Preparation OTC, PSEN2, PSEN1 ACHE 5/4885BCHE 7/4885

“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.