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Hamiltonian replica exchange combined with elastic network analysis to enhance global domain motions in atomistic molecular dynamics simulations
Author(s) -
Ostermeir Katja,
Zacharias Martin
Publication year - 2014
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.24695
Subject(s) - replica , molecular dynamics , hamiltonian (control theory) , centroid , force field (fiction) , biasing , statistical physics , physics , computer science , chemistry , computational chemistry , mathematics , voltage , quantum mechanics , art , mathematical optimization , artificial intelligence , visual arts
Coarse‐grained elastic network models (ENM) of proteins offer a low‐resolution representation of protein dynamics and directions of global mobility. A Hamiltonian‐replica exchange molecular dynamics (H‐REMD) approach has been developed that combines information extracted from an ENM analysis with atomistic explicit solvent MD simulations. Based on a set of centers representing rigid segments (centroids) of a protein, a distance‐dependent biasing potential is constructed by means of an ENM analysis to promote and guide centroid/domain rearrangements. The biasing potentials are added with different magnitude to the force field description of the MD simulation along the replicas with one reference replica under the control of the original force field. The magnitude and the form of the biasing potentials are adapted during the simulation based on the average sampled conformation to reach a near constant biasing in each replica after equilibration. This allows for canonical sampling of conformational states in each replica. The application of the methodology to a two‐domain segment of the glycoprotein 130 and to the protein cyanovirin‐N indicates significantly enhanced global domain motions and improved conformational sampling compared with conventional MD simulations. Proteins 2014; 82:3410–3419. © 2014 Wiley Periodicals, Inc.