4.5 Article

Toward a Predictive Understanding of Slow Methyl Group Dynamics in Proteins

期刊

BIOPHYSICAL JOURNAL
卷 101, 期 4, 页码 910-915

出版社

CELL PRESS
DOI: 10.1016/j.bpj.2011.06.053

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资金

  1. National Science Foundation [MCB-0918362]
  2. Max Planck Society
  3. Fonds der Chemischen Industrie
  4. German Israel Funds
  5. Deutsche Forschungsgemienschaft
  6. European Research Council [233227]
  7. Div Of Molecular and Cellular Bioscience
  8. Direct For Biological Sciences [0918362] Funding Source: National Science Foundation

向作者/读者索取更多资源

The development of the most recent generation of molecular mechanics force fields promises an increasingly predictive understanding of the protein dynamics-function relationship. Based on extensive validation against various types of experimental data, the AMBER force field ff99SB was benchmarked in recent years as a favorable force field for protein simulations. Recent improvements of the side chain and backbone potentials, made by different groups, led to the ff99SB-ILDN and ff99SBnmr1 force fields, respectively. The combination of these potentials into a unified force field, termed ff99SBnmr1-ILDN, was used in this study to perform a microsecond time scale molecular dynamics simulation of free ubiquitin in explicit solvent for validation against an extensive set of experimental NMR methyl group residual dipolar couplings. Our results show a high level of consistency between the experimental data and the values predicted from the molecular dynamics trajectory reflecting a systematically improved performance of ff99SBnmr1-ILDN over the original ff99SB force field. Moreover, the unconstrained ff99SBnmr1-ILDN MD ensemble achieves a similar level of agreement as the recently introduced EROS ensemble, which was constructed based on a large body of NMR data as constraints, including the methyl residual dipolar couplings. This suggests that ff99SBnmr1-ILDN provides a high-quality representation of the motions of methyl-bearing protein side chains, which are sensitive probes of protein-protein and protein-ligand interactions.

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