4.6 Article

Disruption of DYRK1A-induced hyperphosphorylation of amyloid-beta and tau protein in Alzheimer's disease: An integrative molecular modeling approach

Journal

FRONTIERS IN MOLECULAR BIOSCIENCES
Volume 9, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fmolb.2022.1078987

Keywords

Alzheimer's disease; neurofibrillary tangles; DYRK1A; virtual screening; molecular docking; molecular dynamics simulation; principal component analysis

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Alzheimer's disease is a neurological disorder caused by abnormal protein accumulation. In this study, a virtual screening approach was used to identify compounds that can inhibit DYRK1A, a key enzyme involved in the phosphorylation of amyloid-beta and neurofibrillary tangles. Four compounds, including ZINC3843365, ZINC2123081, ZINC5220992, and ZINC68569602, showed the highest affinity for DYRK1A and have the potential to reduce the burden of amyloid-beta and neurofibrillary tangles in Alzheimer's disease.
Alzheimer's disease (AD) is a neurological disorder caused by the abnormal accumulation of hyperphosphorylated proteins. Dual-specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A) is a dual phosphorylation enzyme which phosphorylates the amyloid-beta (A beta) and neurofibrillary tangles (NFTs). A high throughput virtual screening approach was applied to screen a library of 98,071 compounds against DYRK1A using different programs including AutoDock Vina, Smina, and idock. Based on the binding affinities, we selected 330 compounds for absorption, distribution, metabolism, excretion, and toxicity (ADMET) analysis. Various pharmacokinetics parameters were predicted using the admetSAR server, and based on the pharmacokinetics results, 14 compounds were selected for cross-docking analysis using AutoDock. Cross-docking analysis revealed four compounds, namely, ZINC3843365 (-11.07 kcal/mol(-1)), ZINC2123081 (-10.93 kcal/mol(-1)), ZINC5220992 (-10.63 kcal/mol(-1)), and ZINC68569602 (-10.35 kcal/mol(-1)), which had the highest negative affinity scores compared to the 10 other molecules analyzed. Density functional theory (DFT) analysis was conducted for all the four top-ranked compounds. The molecular interaction stability of these four compounds with DYRK1A has been evaluated using molecular dynamics (MD) simulations on 100 nanoseconds followed by principal component analysis (PCA) and binding free energy calculations. The Gibbs free energy landscape analysis suggested the metastable state and folding pattern of selected docking complexes. Based on the present study outcome, we propose four antagonists, viz., ZINC3843365, ZINC2123081, ZINC5220992, and ZINC68569602 as potential inhibitors against DYRK1A and to reduce the amyloid-beta and neurofibrillary tangle burden. These screened molecules can be further investigated using a number of in vitro and in vivo experiments.

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