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In silico multi-filter screening approaches for developing novel beta-secretase inhibitors
Authors:Fujimoto Taku  Matsushita Yasuo  Gouda Hiroaki  Yamaotsu Noriyuki  Hirono Shuichi
Affiliation:

aSchool of Pharmaceutical Sciences, Kitasato University, 5-9-1, Shirokane, Minato-ku, Tokyo, Japan

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   β-Secretase   MM/PBSA   Computational alanine scanning   Ligand docking
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