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@ARTICLE{Bondar:943342,
author = {Bondar, Ana-Nicoleta},
title = {{G}raphs of {H}ydrogen-{B}ond {N}etworks to {D}issect
{P}rotein {C}onformational {D}ynamics},
journal = {The journal of physical chemistry / B},
volume = {126},
number = {22},
issn = {1520-6106},
address = {Washington, DC},
publisher = {Soc.},
reportid = {FZJ-2023-00948},
pages = {3973 - 3984},
year = {2022},
abstract = {Dynamic hydrogen bonds and hydrogen-bond networks are
ubiquitous in proteins and protein complexes. Functional
roles that have been assigned to hydrogen-bond networks
include structural plasticity for protein function,
allosteric conformational coupling, long-distance proton
transfers, and transient storage of protons. Advances in
structural biology provide invaluable insights into
architectures of large proteins and protein complexes of
direct interest to human physiology and disease, including G
Protein Coupled Receptors (GPCRs) and the SARS-Covid-19
spike protein S, and give rise to the challenge of how to
identify those interactions that are more likely to govern
protein dynamics. This Perspective discusses applications of
graph-based algorithms to dissect dynamical hydrogen-bond
networks of protein complexes, with illustrations for GPCRs
and spike protein S. H-bond graphs provide an overview of
sites in GPCR structures where hydrogen-bond dynamics would
be required to assemble longer-distance networks between
functionally important motifs. In the case of spike protein
S, graphs identify regions of the protein where hydrogen
bonds rearrange during the reaction cycle and where local
hydrogen-bond networks likely change in a virus variant of
concern.},
cin = {IAS-5 / INM-9},
ddc = {530},
cid = {I:(DE-Juel1)IAS-5-20120330 / I:(DE-Juel1)INM-9-20140121},
pnm = {5241 - Molecular Information Processing in Cellular Systems
(POF4-524)},
pid = {G:(DE-HGF)POF4-5241},
typ = {PUB:(DE-HGF)16},
pubmed = {35639610},
UT = {WOS:000810266500001},
doi = {10.1021/acs.jpcb.2c00200},
url = {https://juser.fz-juelich.de/record/943342},
}