The power of coarse graining in biomolecular simulations

Helgi I. Ingolfsson, Cesar A. Lopez, Jaakko J. Uusitalo, Djurre H. de Jong, Srinivasa M. Gopal, Xavier Periole, Siewert J. Marrink*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

461 Citations (Scopus)
218 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)225-248
Number of pages24
JournalWiley Interdisciplinary Reviews. Computational Molecular Science
Volume4
Issue number3
DOIs
Publication statusPublished - May-2014

Keywords

  • MOLECULAR-DYNAMICS SIMULATIONS
  • RESIDUE FORCE-FIELD
  • PROTEIN-COUPLED RECEPTORS
  • MODEL LIPID-BILAYERS
  • STRUCTURE PREDICTION
  • COMPUTATIONAL MICROSCOPE
  • MECHANOSENSITIVE CHANNEL
  • STRUCTURAL DETERMINANTS
  • INTERACTION POTENTIALS
  • TRANSMEMBRANE HELICES

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