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Multiscale methods for protein folding simulations
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DOI：10.1016/j.ymeth.2010.04.014.png)
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Inherently hierarchic nature of proteins makes multiscale computational methods especially useful in the studies of folding and other functional dynamics. With the multiscale strategies, one can achieve improved accuracy and efficiency by coupling the atomistic and the coarse grained simulations. Depending on the problems studied, very different implementation protocols can be used to realize the multiscale idea. Here, we give detailed introductions to the currently used multiscale protocols, together with some recent applications to the protein folding simulations in our group. The advantages and weakness, as well as the application scopes of these multiscale protocols are discussed. The directions for the future developments are also proposed. (C) 2010 Elsevier Inc. All rights reserved.
Keyword:
Multiscale simulations
Protein folding
Molecular dynamics
Self-learning
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