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Analysis on long-range residue-residue communication using molecular dynamics.

Sangwook Wu1, Chang Jun Lee1, Lee G Pedersen1

  • 1Department of Chemistry, University of North Carolina at Chapel Hill.

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|June 18, 2014
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Summary

This study explored protein side chain communication in barstar using mutual information theory. Results indicate no unusual long-range communication between side chains in explicit solvent simulations.

Keywords:
explicit/implicit solvent modelinformation theorylong-range residue communicationmolecular dynamics simulationmutual information

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Area of Science:

  • Biophysics
  • Computational Biology
  • Protein Dynamics

Background:

  • Understanding protein function requires knowledge of how amino acid residues communicate.
  • All-atom molecular dynamics simulations are crucial for studying protein dynamics at the atomic level.

Purpose of the Study:

  • To investigate inter-residue communication of side chains in the protein barstar.
  • To analyze the role of mutual information theory in quantifying these interactions.

Main Methods:

  • Utilized mutual information theory to analyze side chain dihedral angles.
  • Performed all-atom molecular dynamics simulations with explicit solvent for 600 ns.
  • Examined normalized mutual information (NMI) distribution across various inter-residue distances.

Main Results:

  • The accumulated NMI showed a parabola-shaped distribution concerning inter-residue distances (0-36 Å).
  • NMI was lower at shorter and longer distances, peaking in the middle range.
  • No unusual long-range communication was detected for the free backbone in explicit solvent.

Conclusions:

  • Side chain communication in barstar, under these simulation conditions, does not exhibit unexpected long-range effects.
  • Mutual information theory provides a quantitative framework for assessing residue interactions in proteins.