Coarse-Grained (Multiscale) Simulations in Studies of Biophysical and Chemical Systems

Department of Chemistry, University of Southern California, Los Angeles, California 90089, USA.
Annual Review of Physical Chemistry (Impact Factor: 15.68). 04/2010; 62(1):41-64. DOI: 10.1146/annurev-physchem-032210-103335
Source: PubMed

ABSTRACT Recent years have witnessed an explosion in computational power, leading to attempts to model ever more complex systems. Nevertheless, there remain cases for which the use of brute-force computer simulations is clearly not the solution. In such cases, great benefit can be obtained from the use of physically sound simplifications. The introduction of such coarse graining can be traced back to the early usage of a simplified model in studies of proteins. Since then, the field has progressed tremendously. In this review, we cover both key developments in the field and potential future directions. Additionally, particular emphasis is given to two general approaches, namely the renormalization and reference potential approaches, which allow one to move back and forth between the coarse-grained (CG) and full models, as these approaches provide the foundation for CG modeling of complex systems.

Download full-text


Available from: Anatoly Dryga, Jun 20, 2015