Advances in coarse-grained modeling of macromolecular complexes
- PMID: 30508766
- PMCID: PMC6296860
- DOI: 10.1016/j.sbi.2018.11.005
Advances in coarse-grained modeling of macromolecular complexes
Abstract
Recent progress in coarse-grained (CG) molecular modeling and simulation has facilitated an influx of computational studies on biological macromolecules and their complexes. Given the large separation of length-scales and time-scales that dictate macromolecular biophysics, CG modeling and simulation are well-suited to bridge the microscopic and mesoscopic or macroscopic details observed from all-atom molecular simulations and experiments, respectively. In this review, we first summarize recent innovations in the development of CG models, which broadly include structure-based, knowledge-based, and dynamics-based approaches. We then discuss recent applications of different classes of CG models to explore various macromolecular complexes. Finally, we conclude with an outlook for the future in this ever-growing field of biomolecular modeling.
Copyright © 2018 Elsevier Ltd. All rights reserved.
Conflict of interest statement
Author Disclosures
The authors declare no conflict of interest.
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