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Protein conformational transitions explored by mixed elastic network models
Author(s) -
Zheng Wenjun,
Brooks Bernard R.,
Hummer Gerhard
Publication year - 2007
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.21465
Subject(s) - maxima and minima , formalism (music) , saddle point , myosin , statistical physics , physics , energy landscape , motor protein , protein structure , chemistry , biological system , mathematics , geometry , thermodynamics , biology , mathematical analysis , art , musical , biochemistry , visual arts , microtubule , nuclear magnetic resonance , microbiology and biotechnology
Abstract We develop a mixed elastic network model (MENM) to study large‐scale conformational transitions of proteins between two (or more) known structures. Elastic network potentials for the beginning and end states of a transition are combined, in effect, by adding their respective partition functions. The resulting effective MENM energy function smoothly interpolates between the original surfaces, and retains the beginning and end structures as local minima. Saddle points, transition paths, potentials of mean force, and partition functions can be found efficiently by largely analytic methods. To characterize the protein motions during a conformational transition, we follow “transition paths” on the MENM surface that connect the beginning and end structures and are invariant to parameterizations of the model and the mathematical form of the mixing scheme. As illustrations of the general formalism, we study large‐scale conformation changes of the motor proteins KIF1A kinesin and myosin II. We generate possible transition paths for these two proteins that reveal details of their conformational motions. The MENM formalism is computationally efficient and generally applicable even for large protein systems that undergo highly collective structural changes. Proteins 2007. © 2007 Wiley‐Liss, Inc.