Title of article :
In silico multi-filter screening approaches for developing novel β-secretase inhibitors
Author/Authors :
Taku Fujimoto، نويسنده , , Eduardo Garc?a-R?o and Yasuo Matsushita، نويسنده , , Hiroaki Gouda، نويسنده , , Noriyuki Yamaotsu، نويسنده , , Shuichi Hirono، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Abstract :
A large database of chemical structures was screened for potential inhibitors of β-secretase was carried out using in silico multi-filter techniques. Substructure screening, computer-aided ligand docking, binding free energy calculations, and partial interaction energy analyses were performed successively to identify chemical compounds which could serve as different scaffolds from known β-secretase inhibitors for future drug design. We showed that our in silico multi-filter screening retrieved all known inhibitors from the compound database investigated, which suggests that the other compounds identified as inhibitors by this computerized screening process are potential β-secretase inhibitors.
Keywords :
Drug Design , In silico screening , ?-Secretase , computational alanine scanning , MM/PBSA , Ligand docking
Journal title :
Bioorganic & Medicinal Chemistry Letters
Journal title :
Bioorganic & Medicinal Chemistry Letters