4.7 Article

Identification of potential human beta-secretase 1 inhibitors by hierarchical virtual screening and molecular dynamics

Journal

JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
Volume 41, Issue 10, Pages 4560-4574

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/07391102.2022.2069155

Keywords

Alzheimer's disease; BACE-1; molecular docking; molecular dynamic; pharmacophore model

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Alzheimer's disease is a neurodegenerative pathology with limited treatment options. This study used virtual screening and molecular docking to identify a potential candidate for drug development. The selected molecule showed promise in biological tests.
Alzheimer's disease (AD) is a neurodegenerative pathology responsible for 70% of dementia cases worldwide. Despite its relevance, the few drugs available for the treatment of this disease offer only symptomatic relief, with limited efficacy and serious adverse effects. The most accepted hypothesis about the pathogenesis involves the aggregation and deposition of beta-amyloid peptides, mainly in the cerebral cortex and hippocampus, through the catalytic action of beta-secretase 1 (BACE-1), making this enzyme a promising target for the development of new drugs. In order to prioritize candidates for BACE-1 inhibitors, a hierarchical virtual screening by pharmacophore model and molecular docking was performed against the 216,833 molecules contained in several databases. Our previously built pharmacophore model was used for the first filtering step, which resulted in the selection of 399 molecules. The remaining molecules were filtered through molecular docking with GOLD 5.4.0. In this step, molecules with scoring values greater than the mean plus standard deviation were evaluated for commercial availability and absence of asymmetric centers. Four molecules were selected and evaluated for mutagenic potential by the AMES test with the help of the pkCSM server. Finally, they were tested against the descriptors on Lipinski and Veber rules, and ZINC01589617 (QFIT = 56.52/Score = 44.95) satisfied all requirements, being subjected to molecular dynamics simulations (t = 100 ns) in order to obtain robust data on the mode of bonding and profile of intermolecular interactions. Those in silico strategies demonstrated that ZINC01589617 is a potential candidate for biological tests. Communicated by Ramaswamy H. Sarma

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