The power of coarse graining in biomolecular simulations

University of Groningen

PubMed
Indexed incrossrefpubmed

Abstract

Computational modeling of biological systems is challenging because of the multitude of spatial and temporal scales involved. Replacing atomistic detail with lower resolution, coarse grained (CG), beads has opened the way to simulate large-scale biomolecular processes on time scales inaccessible to all-atom models. We provide an overview of some of the more popular CG models used in biomolecular applications to date, focusing on models that retain chemical specificity. A few state-of-the-art examples of protein folding, membrane protein gating and self-assembly, DNA hybridization, and modeling of carbohydrate fibers are used to illustrate the power and diversity of current CG modeling.

Citation impact

584
total citations
FWCI
17.05
Percentile
100%
References
181
Citations per year

Authors

7

Topics & keywords

Keywords
  • Granularity
  • Monte Carlo method
  • Molecular dynamics
  • Folding (DSP implementation)
  • Statistical physics
  • Computer science
  • Biological system
  • Nanotechnology
No related works found for this paper.