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

Biophys. J. BioFAST: First Published June 2, 2006. doi:10.1529/biophysj.106.085746
© 2006 by the Biophysical Society.


A more recent version of this article appeared on September 1, 2006.
This Article
Right arrow Full Text (Rapid PDF)
Right arrow Supplement
Right arrow All Versions of this Article:
biophysj.106.085746v1
91/5/1844    most recent
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 Google Scholar
Google Scholar
Right arrow Articles by Cohen, J.
Right arrow Articles by Schulten, K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Cohen, J.
Right arrow Articles by Schulten, K.

PROTEINS

Imaging the migration pathways for O2, CO, NO, and Xe inside myoglobin

Jordi Cohen 1, Anton Arkhipov 1, Rosemary I Braun 1 and Klaus Schulten 1*

1 University of Illinois, Urbana-Champaign

* To whom correspondence should be addressed. E-mail: kschulte{at}ks.uiuc.edu.

Submitted on March 24, 2006
Revised on May 5, 2006
Accepted on 25 May 2006


   Abstract
Myoglobin (Mb) is perhaps the most studied protein, experimentally and theoretically. Despite the wealth of known details regarding the gas migration processes inside Mb, there exists no fully conclusive picture of these pathways. We address this deficiency by presenting a complete map of all the gas migration pathways inside Mb for small gas ligands (O2, NO, CO and Xe). To accomplish this, we introduce a computational approach for studying gas migration, which we call implicit ligand sampling. Rather than simulating actual gas migration events, we infer the location of gas migration pathways based on a free-energy perturbation approach applied to simulations of Mb's dynamical fluctuations at equilibrium in the absence of ligand. The method provides complete 3-D maps of the potential of mean force of gas ligand placement anywhere inside a protein-solvent system. From such free energy maps, we identify every gas docking sites, the pathways between these sites, to the heme and to the external solution. Our maps match previously known features of these pathways in Mb, but also point to the existence of additional exits from the protein matrix in regions that are not easily probed by experiment. We also compare the pathway maps of Mb for different gas ligands and for different animal species.

Key Words: gas migration, implicit ligand sampling, myoglobin, oxygen transport, potential of mean force







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 2006 by the Biophysical Society.