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@ARTICLE{Bolnykh:884081,
author = {Bolnykh, Viacheslav and Rothlisberger, Ursula and Carloni,
Paolo},
title = {{B}iomolecular {S}imulation: {A} {P}erspective from {H}igh
{P}erformance {C}omputing},
journal = {Israel journal of chemistry},
volume = {60},
number = {7},
issn = {1869-5868},
address = {Weinheim},
publisher = {Wiley-VCH},
reportid = {FZJ-2020-03082},
pages = {694 - 704},
year = {2020},
abstract = {High‐Performance Computing is impacting on all biomedical
sciences, including molecular biophysics. Here, we describe
general parallel computing strategies (multi‐threading and
distributed computing) used in all the natural sciences,
including molecular biophysics. Next, we describe how these
strategies are applied in molecular dynamics simulations and
enhanced sampling methods, either based on force fields, on
density functional theory or on QM/MM potentials. As test
cases, we focus on the widely used CPMD and GROMACS
packages, along with a hybrid QM/MM interface coupling the
two recently developed by a European team including the
Authors. The review closes with a short perspective on the
use of HPC‐based biomolecular simulations.},
cin = {IAS-5 / INM-9},
ddc = {540},
cid = {I:(DE-Juel1)IAS-5-20120330 / I:(DE-Juel1)INM-9-20140121},
pnm = {574 - Theory, modelling and simulation (POF3-574) / DFG
project 291198853 - FOR 2518: Funktionale Dynamik von
Ionenkanälen und Transportern - DynIon -},
pid = {G:(DE-HGF)POF3-574 / G:(GEPRIS)291198853},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000535054900001},
doi = {10.1002/ijch.202000022},
url = {https://juser.fz-juelich.de/record/884081},
}