Title of article
Insights into the Molecular Mechanisms of Protein-Ligand Interactions by Molecular Docking and Molecular Dynamics Simulation: A Case of Oligopeptide Binding Protein
Author/Authors
Fu, Yi School of Internet of Things Engineering - Jiangnan University - Wuxi - Jiangsu, China , Zhao, Ji School of Internet of Things Engineering - Wuxi City College of Vocational Technology - Wuxi - Jiangsu, China , Chen, Zhiguo School of Internet of Things Engineering - Jiangnan University - Wuxi - Jiangsu, China
Pages
12
From page
1
To page
12
Abstract
Protein-ligand interactions are a necessary prerequisite for signal transduction, immunoreaction, and gene regulation. Proteinligand interaction studies are important for understanding the mechanisms of biological regulation, and they provide a theoretical
basis for the design and discovery of new drug targets. In this study, we analyzed the molecular interactions of protein-ligand
which was docked by AutoDock 4.2 software. In AutoDock 4.2 software, we used a new search algorithm, hybrid algorithm of
random drift particle swarm optimization and local search (LRDPSO), and the classical Lamarckian genetic algorithm (LGA) as
energy optimization algorithms. +e best conformations of each docking algorithm were subjected to molecular dynamic (MD)
simulations to further analyze the molecular mechanisms of protein-ligand interactions. Here, we analyze the binding energy
between protein receptors and ligands, the interactions of salt bridges and hydrogen bonds in the docking region, and the
structural changes during complex unfolding. Our comparison of these complexes highlights differences in the protein-ligand
interactions between the two docking methods. It also shows that salt bridge and hydrogen bond interactions play a crucial role in
protein-ligand stability. +e present work focuses on extracting the deterministic characteristics of docking interactions from their
dynamic properties, which is important for understanding biological functions and determining which amino acid residues are
crucial to docking interactions.
Keywords
Protein-Ligand , Simulation , LRDPSO , Dynamics
Journal title
Computational and Mathematical Methods in Medicine
Serial Year
2018
Full Text URL
Record number
2610080
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