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Inhibition of GSK_3β by Iridoid Glycosides of Snowberry (Symphoricarpos albus) Effective in the Treatment of Alzheimer's Disease Using Computational Drug Design Methods.

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TLDR
In this article, a computational drug design was conducted to introduce compounds that play an effective role in inhibiting the GSK-3β enzyme by molecular docking and molecular dynamics simulation.
Abstract
The inhibition of glycogen synthase kinase-3β (GSK-3β) activity prevents tau hyperphosphorylation and binds it to the microtubule network. Therefore, a GSK-3β inhibitor may be a recommended drug for Alzheimer’s treatment. In silico methods are currently considered as one of the fastest and most cost-effective available alternatives for drug/design discovery in the field of treatment. In this study, computational drug design was conducted to introduce compounds that play an effective role in inhibiting the GSK-3β enzyme by molecular docking and molecular dynamics simulation. The iridoid glycosides of the common snowberry (Symphoricarpos albus), including loganin, secologanin, and loganetin, are compounds that have an effect on improving memory and cognitive impairment and the results of which on Alzheimer’s have been studied as well. In this study, in the molecular docking phase, loganin was considered a more potent inhibitor of this protein by establishing a hydrogen bond with the ATP-binding site of GSK-3β protein and the most negative binding energy to secologanin and loganetin. Moreover, by molecular dynamics simulation of these ligands and GSK-3β protein, all structures were found to be stable during the simulation. In addition, the protein structure represented no change and remained stable by binding ligands to GSK-3β protein. Furthermore, loganin and loganetin have higher binding free energy than secologanin; thus, these compounds could effectively bind to the active site of GSK-3β protein. Hence, loganin and loganetin as iridoid glycosides can be effective in Alzheimer’s prevention and treatment, and thus, further in vitro and in vivo studies can focus on these iridoid glycosides as an alternative treatment.

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Sweroside Ameliorated Memory Deficits in Scopolamine-Induced Zebrafish (Danio rerio) Model: Involvement of Cholinergic System and Brain Oxidative Stress

TL;DR: The results suggest that sweroside exerts a significant effect on anxiety and cognitive impairment, driven in part by the modulation of the cholinergic system activity and brain antioxidant action.
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Integrating transcriptome and chemical analyses to reveal the anti-Alzheimer’s disease components in Verbena officinalis Linn

TL;DR: Zhang et al. as discussed by the authors explored the biosynthetic pathway of anti-AD components in V. officinalis and found that these components had relatively high expression in leaves, which was consistent with the quantitative results.
Journal ArticleDOI

Computational Modeling of Kinase Inhibitors as Anti-Alzheimer Agents

DIANA NOREEN RIVERA
- 01 Jan 2023 - 
TL;DR: In this article , the authors have extensively reviewed different tau kinases, their systemic roles, and mechanism of tau phosphorylation relevant to cause Alzheimer's disease, and also the chapter encompasses different computational studies carried out in the last 4 years on various protein kinases in search of potential anti-Alzheimer's agents.
References
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Journal ArticleDOI

AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading

TL;DR: AutoDock Vina achieves an approximately two orders of magnitude speed‐up compared with the molecular docking software previously developed in the lab, while also significantly improving the accuracy of the binding mode predictions, judging by tests on the training set used in AutoDock 4 development.
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Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function

TL;DR: It is shown that both the traditional and Lamarckian genetic algorithms can handle ligands with more degrees of freedom than the simulated annealing method used in earlier versions of AUTODOCK, and that the Lamarckia genetic algorithm is the most efficient, reliable, and successful of the three.
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Forecasting the global burden of Alzheimer’s disease

TL;DR: The goal was to forecast the global burden of Alzheimer's disease and evaluate the potential impact of interventions that delay disease onset or progression.
Journal ArticleDOI

The Cellular Phase of Alzheimer’s Disease

TL;DR: Evidence supporting a long, complex cellular phase consisting of feedback and feedforward responses of astrocytes, microglia, and vasculature is reviewed.
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