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@ARTICLE{ElHarrar:916528,
author = {El Harrar, Till and Gohlke, Holger},
title = {{C}umulative {M}illisecond-{L}ong {S}ampling for a
{C}omprehensive {E}nergetic {E}valuation of {A}queous
{I}onic {L}iquid {E}ffects on {A}mino {A}cid {I}nteractions},
journal = {Journal of chemical information and modeling},
volume = {63},
number = {1},
issn = {0095-2338},
address = {Washington, DC},
publisher = {American Chemical Society},
reportid = {FZJ-2022-06312},
pages = {281–298},
year = {2023},
abstract = {The interactions of amino acid side-chains confer diverse
energetic contributions and physical properties to a
protein’s stability and function. Various computational
tools estimate the effect of changing a given amino acid on
the protein’s stability based on parametrized (free)
energy functions. When parametrized for the prediction of
protein stability in water, such energy functions can lead
to suboptimal results for other solvents, such as ionic
liquids (IL), aqueous ionic liquids (aIL), or salt
solutions. However, to our knowledge, no comprehensive data
are available describing the energetic effects of aIL on
intramolecular protein interactions. Here, we present the
most comprehensive set of potential of mean force (PMF)
profiles of pairwise protein–residue interactions to date,
covering 50 relevant interactions in water, the two
biotechnologically relevant aIL [BMIM/Cl] and [BMIM/TfO],
and [Na/Cl]. These results are based on a cumulated
simulation time of >1 ms. aIL and salt ions can weaken, but
also strengthen, specific residue interactions by more than
3 kcal mol–1, depending on the residue pair,
residue–residue configuration, participating ions, and
concentration, necessitating considering such interactions
specifically. These changes originate from a complex
interplay of competitive or cooperative noncovalent
ion–residue interactions, changes in solvent structural
dynamics, or unspecific charge screening effects and occur
at the contact distance but also at larger,
solvent-separated distances. This data provide explanations
at the atomistic and energetic levels for complex IL effects
on protein stability and should help improve the prediction
accuracies of computational tools that estimate protein
stability based on (free) energy functions.},
cin = {IBG-4 / NIC / JSC / IBI-7},
ddc = {540},
cid = {I:(DE-Juel1)IBG-4-20200403 / I:(DE-Juel1)NIC-20090406 /
I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)IBI-7-20200312},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / 2171 - Biological
and environmental resources for sustainable use (POF4-217) /
Forschergruppe Gohlke $(hkf7_20200501)$},
pid = {G:(DE-HGF)POF4-5111 / G:(DE-HGF)POF4-2171 /
$G:(DE-Juel1)hkf7_20200501$},
typ = {PUB:(DE-HGF)16},
pubmed = {36520535},
UT = {WOS:000918748100001},
doi = {10.1021/acs.jcim.2c01123},
url = {https://juser.fz-juelich.de/record/916528},
}