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Biophysical Journal 93:3382-3391 (2007)
© 2007 The Biophysical Society

A One-Dimensional Reaction Coordinate for Identification of Transition States from Explicit Solvent Pfold-Like Calculations

David A. C. Beck and Valerie Daggett

Department of Bioengineering, University of Washington, Seattle, Washington 98195-5061

Correspondence: Address reprint requests to Valerie Daggett, Tel.: 206-685-7420; Fax: 206-685-3252; E-mail: daggett{at}u.washington.edu.

A properly identified transition state ensemble (TSE) in a molecular dynamics (MD) simulation can reveal a tremendous amount about how a protein folds and offer a point of comparison to experimentally derived {Phi}F values, which reflect the degree of structure in these transient states. In one such method of TSE identification, dubbed Pfold, MD simulations of individual protein structures taken from an unfolding trajectory are used to directly assess an input structure's probability of folding before unfolding, and Pfold is, by definition, 0.5 for the TSE. Other, less computationally intensive methods, such as multidimensional scaling (MDS) of the pairwise root mean-squared deviation (RMSD) matrix of the conformations sampled in a thermal unfolding trajectory, have also been used to identify the TSE. Identification of the TSE is made from the original MD simulation without the need to run further simulations. Here we present a Pfold-like study and describe methods for identification of the TSE through the derivation of a high fidelity, bounded, one-dimensional reaction coordinate for protein folding. These methods are applied to the engrailed homeodomain. The TSE identified by this approach is essentially identical to the TSE identified previously by MDS of the pairwise RMSD matrix. However, the cost of performing Pfold, or even our reduced Pfold-like calculations, is at least 36,000 times greater than the MDS method.




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D. A.C. Beck, A. L. Jonsson, R. D. Schaeffer, K. A. Scott, R. Day, R. D. Toofanny, D. O.V. Alonso, and V. Daggett
Dynameomics: mass annotation of protein dynamics and unfolding in water by high-throughput atomistic molecular dynamics simulations
Protein Eng. Des. Sel., June 1, 2008; 21(6): 353 - 368.
[Abstract] [Full Text] [PDF]




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Copyright © 2007 by the Biophysical Society.