Molecular Dynamics Simulations in Protein-Protein Docking.

Methods Mol Biol

Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.

Published: July 2024

AI Article Synopsis

  • Concerted interactions among cell components drive biological processes, with protein-protein interactions (PPIs) playing a crucial role in understanding diseases and developing new treatments.
  • Recent research suggests that previously deemed "undruggable" PPI interfaces may contain targeted "hot spots," requiring high-quality structural data that is hard to obtain experimentally.
  • In silico modeling and techniques like Molecular Dynamics (MD) can aid in studying PPIs by considering protein flexibility and environmental effects, offering efficient strategies to analyze PPI dynamics without excessive computational costs.

Article Abstract

Concerted interactions between all the cell components form the basis of biological processes. Protein-protein interactions (PPIs) constitute a tremendous part of this interaction network. Deeper insight into PPIs can help us better understand numerous diseases and lead to the development of new diagnostic and therapeutic strategies. PPI interfaces, until recently, were considered undruggable. However, it is now believed that the interfaces contain "hot spots," which could be targeted by small molecules. Such a strategy would require high-quality structural data of PPIs, which are difficult to obtain experimentally. Therefore, in silico modeling can complement or be an alternative to in vitro approaches. There are several computational methods for analyzing the structural data of the binding partners and modeling of the protein-protein dimer/oligomer structure. The major problem with in silico structure prediction of protein assemblies is obtaining sufficient sampling of protein dynamics. One of the methods that can take protein flexibility and the effects of the environment into account is Molecular Dynamics (MD). While sampling of the whole protein-protein association process with plain MD would be computationally expensive, there are several strategies to harness the method to PPI studies while maintaining reasonable use of resources. This chapter reviews known applications of MD in the PPI investigation workflows.

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Source
http://dx.doi.org/10.1007/978-1-0716-3985-6_6DOI Listing

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