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Coarse-Grained Protein Dynamics Studies Using Elastic Network Models.

Yuichi TogashiHolger Flechsig
Published in: International journal of molecular sciences (2018)
Elastic networks have been used as simple models of proteins to study their slow structural dynamics. They consist of point-like particles connected by linear Hookean springs and hence are convenient for linear normal mode analysis around a given reference structure. Furthermore, dynamic simulations using these models can provide new insights. As the computational cost associated with these models is considerably lower compared to that of all-atom models, they are also convenient for comparative studies between multiple protein structures. In this review, we introduce examples of coarse-grained molecular dynamics studies using elastic network models and their derivatives, focusing on the nonlinear phenomena, and discuss their applicability to large-scale macromolecular assemblies.
Keyphrases
  • molecular dynamics
  • density functional theory
  • case control
  • high resolution
  • small molecule
  • monte carlo