help button home button Biophys. J.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Rathore, N.
Right arrow Articles by de Pablo, J. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Rathore, N.
Right arrow Articles by de Pablo, J. J.
Biophysical Journal 85:3963-3968 (2003)
© 2003 The Biophysical Society

Configurational Temperature Density of States Simulations of Proteins

Nitin Rathore, Thomas A. Knotts, IV and Juan J. de Pablo

Department of Chemical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706

Correspondence: Address reprint requests to Juan J. de Pablo, E-mail: depablo{at}engr.wisc.edu.

A novel method has been implemented to compute the density of states of proteins. A united atom representation and the CHARMM (Brooks et al., 1983) force-field parameters have been adopted for all the simulations. In this approach, an intrinsic temperature is computed based on configurational information about the protein. A random walk is performed in potential energy space and the configurational temperature is collected as a function of potential energy of the system. The density of states is then calculated by integrating the reciprocal of temperature. Unlike previously available methods, this approach does not involve calculations based on histograms of stochastic visits to distinct energy states. It is found that the proposed method is more efficient than earlier, related schemes for simulation of protein folding. Furthermore, it directly provides thermodynamic information, including free energies. The usefulness of the method is discussed by presenting results of simulations of the 16-residue ß-hairpin taken from the C-terminal fragment (41–56) of protein G.




This article has been cited by other articles:


Home page
Biophys. JHome page
T. A. Knotts IV, N. Rathore, and J. J. d. Pablo
An Entropic Perspective of Protein Stability on Surfaces
Biophys. J., June 1, 2008; 94(11): 4473 - 4483.
[Abstract] [Full Text] [PDF]


Home page
Biophys. JHome page
N. Rathore, T. A. Knotts IV, and J. J. de Pablo
Confinement Effects on the Thermodynamics of Protein Folding: Monte Carlo Simulations
Biophys. J., March 1, 2006; 90(5): 1767 - 1773.
[Abstract] [Full Text] [PDF]


Home page
Protein Sci.Home page
P. J. Fleming, N. C. Fitzkee, M. Mezei, R. Srinivasan, and G. D. Rose
A novel method reveals that solvent water favors polyproline II over {beta}-strand conformation in peptides and unfolded proteins: conditional hydrophobic accessible surface area (CHASA)
Protein Sci., January 1, 2005; 14(1): 111 - 118.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2003 by the Biophysical Society.