TY - JOUR
T1 - Imaging the migration pathways for O2, CO, NO, and Xe inside myoglobin
AU - Cohen, Jordi
AU - Arkhipov, Anton
AU - Braun, Rosemary
AU - Schulten, Klaus
N1 - Funding Information:
This work is supported by grants from the National Institutes of Health (No. PHS-5-P41-RR05969), the National Science Foundation (No. SCI04-38712), and the Department of Energy. Supercomputer time was provided by the National Center for Supercomputing Applications via National Resources Allocation Committee (grant No. MCA93S028). The molecular graphics as well as the implicit ligand sampling analysis were performed using the VMD (33) software package. VMD is developed with National Institutes of Health support by the Theoretical and Computational Biophysics group at the Beckman Institute, University of Illinois at Urbana-Champaign.
PY - 2006
Y1 - 2006
N2 - 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 three-dimensional maps of the potential of meanforce of gas ligand placement anywhere inside a protein-solvent system. From such free-energy maps we identify each gas docking site, 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.
AB - 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 three-dimensional maps of the potential of meanforce of gas ligand placement anywhere inside a protein-solvent system. From such free-energy maps we identify each gas docking site, 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.
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U2 - 10.1529/biophysj.106.085746
DO - 10.1529/biophysj.106.085746
M3 - Article
C2 - 16751246
AN - SCOPUS:33748460871
SN - 0006-3495
VL - 91
SP - 1844
EP - 1857
JO - Biophysical journal
JF - Biophysical journal
IS - 5
ER -