| Literature DB >> 33877636 |
Eric Wilson1, John Vant1, Jacob Layton1, Ryan Boyd1, Hyungro Lee2, Matteo Turilli2, Benjamín Hernández3, Sean Wilkinson3, Shantenu Jha2,4, Chitrak Gupta5, Daipayan Sarkar6,7, Abhishek Singharoy8.
Abstract
Molecular dynamics or MD simulation is gradually maturing into a tool for constructing in vivo models of living cells in atomistic details. The feasibility of such models is bolstered by integrating the simulations with data from microscopic, tomographic and spectroscopic experiments on exascale supercomputers, facilitated by the use of deep learning technologies. Over time, MD simulation has evolved from tens of thousands of atoms to over 100 million atoms comprising an entire cell organelle, a photosynthetic chromatophore vesicle from a purple bacterium. In this chapter, we present a step-by-step outline for preparing, executing and analyzing such large-scale MD simulations of biological systems that are essential to life processes. All scripts are provided via GitHub.Entities:
Keywords: Ensemble toolkit; High-performance computing; Molecular dynamics; Multiscale simulation; NAMD; Photosynthetic chromatophore; VMD
Year: 2021 PMID: 33877636 DOI: 10.1007/978-1-0716-1394-8_18
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745