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Are current molecular dynamics force fields too helical?

Robert B Best1, Nicolae-Viorel Buchete, Gerhard Hummer

  • 1Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-0520, USA.

Biophysical Journal
|May 6, 2008
PubMed
Summary
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Molecular dynamics simulations using current force fields show polyalanine peptides favor alpha-helices, contrary to NMR data. Refinements are suggested for better accuracy in simulating unfolded protein structures.

Area of Science:

  • Computational Chemistry
  • Biophysics
  • Molecular Modeling

Background:

  • Accurate force fields are critical for molecular dynamics (MD) simulations.
  • Recent NMR experiments indicate short polyalanine peptides in water predominantly adopt the polyproline II structure.

Purpose of the Study:

  • Investigate the discrepancy between force field predictions and NMR data for polyalanine peptide conformations.
  • Assess the impact on molecular force field evaluation and understanding unfolded protein structures.

Main Methods:

  • Performed extensive molecular dynamics simulations of Ala(5) in water (approx. 5 microseconds total time).
  • Utilized twelve different force fields and three distinct peptide terminal groups.
  • Employed empirical and density-functional-based Karplus relations for J-coupling analysis.

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Main Results:

  • Most current force fields overpopulate the alpha-helical region, deviating from experimental NMR data.
  • Quantitative results varied based on the Karplus relation and peptide termini used.
  • Even after reweighting, Ala(5) simulations retained significant alpha- and beta-populations.

Conclusions:

  • Radical modifications to current leading force fields are not immediately necessary based on the NMR data.
  • Experiments on short peptides provide a pathway for systematic improvement of simulation models.
  • The study highlights the importance of validating force fields against experimental data for accurate protein structure prediction.