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Molecular docking, molecular dynamics simulations and QSAR studies on some of 2-arylethenylquinoline derivatives for inhibition of Alzheimer's amyloid-beta aggregation: Insight into mechanism of interactions and parameters for design of new inhibitors.

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TLDR
It is shown that, a combination of docking parameters and structural descriptors of inhibitor compounds can describe the inhibition efficiency on Aβ1-42 peptide.
Abstract
Alzheimer's disease is characterized using amyloid-beta (Aβ) aggregation. The present work was carried out to extend and design a novel quantitative structure-activity relationship (QSAR) model on inhibition efficiency of some of new 2-arylethenylquinoline derivatives against the Aβ1-42 peptide aggregation. The QSAR study, molecular docking and molecular dynamics (MD) simulations were performed to explore the influence of the structural features and investigate the molecular mechanism of ligands interactions with the Aβ1-42 peptide. Using molecular docking was understood that electron donating groups with small size help to create interactions between the ligands and peptide residues to stabilize the conformation of ligands at the binding pocket. QSAR model was developed using the most stable conformations and parameters that obtained from the molecular docking. It is shown that, a combination of docking parameters and structural descriptors of inhibitor compounds can describe the inhibition efficiency on Aβ1-42 peptide. The model exhibited statistically significant results so that the coefficient of determination R2train, Q2LOO, R2ext and GH (goodness of hit) are 0.912, 0.915, 0.836 and 0.804, respectively. The stability and binding modes of the compounds 1 and 13 with the most inhibition efficiency and compounds 12 and 36 with the lowest inhibition efficiency were determined by molecular dynamics simulations in GROMACS package. It is showed that interactions of compounds 1 and 13 are stable after 25ns of trajectories. Based on obtained results, 10 new drug compounds have been designed that provide better inhibition efficiency with the Aβ1-42 peptide than the reference compounds.

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Multifunctional Mono-Triazole Derivatives Inhibit Aβ42 Aggregation and Cu2+-Mediated Aβ42 Aggregation and Protect Against Aβ42-Induced Cytotoxicity

TL;DR: Experimental and molecular docking results highlighted that 4v is a promising multifunctional lead compound for AD and showed excellent metal chelating ability and maintained copper in the redox-dormant state to prevent the generation of ROS in copper-ascorbate redox cycling.
Journal ArticleDOI

In silico studies on p21-activated kinase 4 inhibitors: comprehensive application of 3D-QSAR analysis, molecular docking, molecular dynamics simulations, and MM-GBSA calculation.

TL;DR: Based on the constructed 3D-QSAR model, some novel pyrropyrazole derivatives targeting PAK4 were designed with improved predicted activities and better ADMET properties, indicating these compounds had better absorption, distribution, metabolism, excretion and toxicity properties.
Journal ArticleDOI

Deconstructing Alzheimer's Disease: How to Bridge the Gap between Experimental Models and the Human Pathology?

TL;DR: In this paper, a review of Alzheimer's disease (AD) models is presented, from the most commonly used to the most recently generated and from simple to complex, explaining their specificities and giving concrete examples.
Journal ArticleDOI

Combination of radial distribution functions as structural descriptors with ligand-receptor interaction information in the QSAR study of some 4-anilinoquinazoline derivatives as potent EGFR inhibitors

TL;DR: The use of a mixture of radial distribution functions (RDFs) and molecular docking descriptors (MDDs), as a new group of descriptors, to construct a predictive quantitative structure-activity relationship (QSAR) model is reported.
Journal ArticleDOI

Exploring the Early Stages of the Amyloid Aβ(1-42) Peptide Aggregation Process: An NMR Study.

TL;DR: In this article, an extensive NMR conformational analysis of Aβ(1-42) in 50/50 HFIP/water v/v was carried out to investigate the conformation of the Aβ peptides.
References
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The Amyloid Hypothesis of Alzheimer's Disease: Progress and Problems on the Road to Therapeutics

TL;DR: It has been more than 10 years since it was first proposed that the neurodegeneration in Alzheimer's disease (AD) may be caused by deposition of amyloid β-peptide in plaques in brain tissue and the rest of the disease process is proposed to result from an imbalance between Aβ production and Aβ clearance.
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Canonical sampling through velocity rescaling

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