Discovery of drug-like acetylcholinesterase inhibitors by rapid virtual screening of a 6.9 million compound database.
Chem Biol Drug Des
; 97(5): 1048-1058, 2021 05.
Article
in En
| MEDLINE
| ID: mdl-33455074
ABSTRACT
Cholinesterase inhibitors remain the mainstay of Alzheimer's disease treatment, and the search for new inhibitors with better efficacy and side effect profiles is ongoing. Virtual screening (VS) is a powerful technique for searching large compound databases for potential hits. This study used a sequential VS workflow combining ligand-based VS, molecular docking and physicochemical filtering to screen for central nervous system (CNS) drug-like acetylcholinesterase inhibitors (AChEIs) amongst the 6.9 million compounds of the CoCoCo database. Eleven in silico hits were initially selected, resulting in the discovery of an AChEI with a Ki of 3.2 µM. In vitro kinetics and in silico molecular dynamics experiments informed the selection of an additional seven analogues. This led to the discovery of two further AChEIs, with Ki values of 2.9 µM and 0.65 µM. All three compounds exhibited reversible, mixed inhibition of acetylcholinesterase. Importantly, the in silico physicochemical filter facilitated the discovery of CNS drug-like compounds, such that all three inhibitors displayed high in vitro blood-brain barrier model permeability.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Acetylcholinesterase
/
Butyrylcholinesterase
/
Cholinesterase Inhibitors
Type of study:
Diagnostic_studies
/
Screening_studies
Limits:
Animals
Language:
En
Journal:
Chem Biol Drug Des
Journal subject:
BIOQUIMICA
/
FARMACIA
/
FARMACOLOGIA
Year:
2021
Type:
Article
Affiliation country:
Australia