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J Mol Model ; 28(3): 60, 2022 Feb 14.
Artículo en Inglés | MEDLINE | ID: mdl-35156141

RESUMEN

For the purpose of discovering potential inhibitors of ß-amyloid (BACE1), which is a crucial element in Alzheimer's disease (AD) pathogenesis, an in silico study of naturally occurring compounds was performed using precise computational approaches. Autodock4 package was preliminary used to predict the binding affinities to BACE1 of more than four thousand compounds presented in the Vietnamese plants (VIETHERB) database. Based on docking results, twenty top-lead compounds having the largest docking energy to BACE1 were rigorously examined using steered molecular dynamics (SMD) simulations. Interestingly, SMD results found that the binding affinity values of three compounds, including myricetin 3-O-(3''-galloylrhamnopyranoside), quercetin 3-O-neohesperidoside, and hydroxysafflor yellow A, are remarkably higher than that of the well-known BACE1 inhibitor, 23I, and these compounds can thus be considered the promising candidates for inhibitors of BACE1.


Asunto(s)
Enfermedad de Alzheimer , Secretasas de la Proteína Precursora del Amiloide , Inhibidores Enzimáticos , Enfermedad de Alzheimer/tratamiento farmacológico , Enfermedad de Alzheimer/metabolismo , Secretasas de la Proteína Precursora del Amiloide/antagonistas & inhibidores , Secretasas de la Proteína Precursora del Amiloide/metabolismo , Péptidos beta-Amiloides/metabolismo , Ácido Aspártico Endopeptidasas/antagonistas & inhibidores , Ácido Aspártico Endopeptidasas/metabolismo , Bases de Datos Factuales , Evaluación Preclínica de Medicamentos , Inhibidores Enzimáticos/química , Inhibidores Enzimáticos/farmacología , Humanos , Simulación del Acoplamiento Molecular , Simulación de Dinámica Molecular
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