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@ARTICLE{Bolnykh:891716,
author = {Bolnykh, Viacheslav and Rossetti, Giulia and Rothlisberger,
Ursula and Carloni, Paolo},
title = {{E}xpanding the boundaries of ligand–target modeling by
exascale calculations},
journal = {Wiley interdisciplinary reviews / Computational Molecular
Science},
volume = {11},
number = {4},
issn = {1759-0884},
address = {Malden, MA},
publisher = {Wiley-Blackwell},
reportid = {FZJ-2021-01690},
pages = {e1535},
year = {2021},
abstract = {Molecular simulations and molecular docking are widely used
tools to investigate ligand/target interactions and in drug
design. High‐performance computing (HPC) is boosting both
the accuracy and predictive power of these approaches. With
the advent of exascale computing, HPC may become standardly
applied in many drug design campaigns and pharmacological
applications. This review discusses how innovative HPC
algorithms and hardware are being exploited in current
simulations and docking codes, pointing also at some of the
limitations of these approaches. The focus is on technical
aspects which might not be all that familiar to the
computational pharmacologist.},
cin = {IAS-5 / INM-9 / JSC},
ddc = {540},
cid = {I:(DE-Juel1)IAS-5-20120330 / I:(DE-Juel1)INM-9-20140121 /
I:(DE-Juel1)JSC-20090406},
pnm = {525 - Decoding Brain Organization and Dysfunction
(POF4-525) / 524 - Molecular and Cellular Information
Processing (POF4-524) / 5111 - Domain-Specific Simulation
Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) /
DFG project 291198853 - FOR 2518: Funktionale Dynamik von
Ionenkanälen und Transportern - DynIon -},
pid = {G:(DE-HGF)POF4-525 / G:(DE-HGF)POF4-524 /
G:(DE-HGF)POF4-5111 / G:(GEPRIS)291198853},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000638549900001},
doi = {10.1002/wcms.1535},
url = {https://juser.fz-juelich.de/record/891716},
}