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Letters to Nature

Nature 420, 102-106 (7 November 2002) | doi:10.1038/nature01160; Received 19 February 2002; Accepted 23 September 2002; Published online 20 October 2002

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Absolute comparison of simulated and experimental protein-folding dynamics

Christopher D. Snow1,2, Houbi Nguyen2,3, Vijay S. Pande1 & Martin Gruebele3

  1. Biophysics Program and Department of Chemistry, Stanford University, Stanford, California 94305-5080, USA
  2. Departments of Chemistry and Physics, and Center for Biophysics and Computational Biology, University of Illinois, Urbana, Illinois 61801, USA
  3. These authors contributed equally to this work

Correspondence to: Vijay S. Pande1Martin Gruebele3 Correspondence and requests for materials should be addressed to V.S.P. (e-mail: Email: pande@stanford.edu) or M.G. (e-mail: Email: gruebele@scs.uiuc.edu).

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Protein folding is difficult to simulate with classical molecular dynamics. Secondary structure motifs such as alpha-helices and beta-hairpins can form in 0.1–10 micros (ref. 1), whereas small proteins have been shown to fold completely in tens of microseconds2. The longest folding simulation to date is a single 1-micros simulation of the villin headpiece3; however, such single runs may miss many features of the folding process as it is a heterogeneous reaction involving an ensemble of transition states4, 5. Here, we have used a distributed computing implementation to produce tens of thousands of 5–20-ns trajectories (700 micros) to simulate mutants of the designed mini-protein BBA5. The fast relaxation dynamics these predict were compared with the results of laser temperature-jump experiments. Our computational predictions are in excellent agreement with the experimentally determined mean folding times and equilibrium constants. The rapid folding of BBA5 is due to the swift formation of secondary structure. The convergence of experimentally and computationally accessible timescales will allow the comparison of absolute quantities characterizing in vitro and in silico (computed) protein folding6.

  1. Biophysics Program and Department of Chemistry, Stanford University, Stanford, California 94305-5080, USA
  2. Departments of Chemistry and Physics, and Center for Biophysics and Computational Biology, University of Illinois, Urbana, Illinois 61801, USA
  3. These authors contributed equally to this work

Correspondence to: Vijay S. Pande1Martin Gruebele3 Correspondence and requests for materials should be addressed to V.S.P. (e-mail: Email: pande@stanford.edu) or M.G. (e-mail: Email: gruebele@scs.uiuc.edu).