Insights into the Molecular Mechanisms of Protein-Ligand Interactions by Molecular Docking and Molecular Dynamics Simulation: A Case of Oligopeptide Binding Protein

Joint Authors

Chen, Zhiguo
Fu, Yi
Zhao, Ji

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-12-04

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Medicine

Abstract EN

Protein-ligand interactions are a necessary prerequisite for signal transduction, immunoreaction, and gene regulation.

Protein-ligand 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.

The 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.

The 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.

American Psychological Association (APA)

Fu, Yi& Zhao, Ji& Chen, Zhiguo. 2018. Insights into the Molecular Mechanisms of Protein-Ligand Interactions by Molecular Docking and Molecular Dynamics Simulation: A Case of Oligopeptide Binding Protein. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1131921

Modern Language Association (MLA)

Fu, Yi…[et al.]. Insights into the Molecular Mechanisms of Protein-Ligand Interactions by Molecular Docking and Molecular Dynamics Simulation: A Case of Oligopeptide Binding Protein. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1131921

American Medical Association (AMA)

Fu, Yi& Zhao, Ji& Chen, Zhiguo. Insights into the Molecular Mechanisms of Protein-Ligand Interactions by Molecular Docking and Molecular Dynamics Simulation: A Case of Oligopeptide Binding Protein. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1131921

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1131921