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@ARTICLE{Briones:859267,
author = {Briones, Rodolfo and Blau, Christian and Kutzner, Carsten
and de Groot, Bert L. and Aponte-Santamaría, Camilo},
title = {{GRO}maρs: {A} {GROMACS}-{B}ased {T}oolset to {A}nalyze
{D}ensity {M}aps {D}erived from {M}olecular {D}ynamics
{S}imulations},
journal = {Biophysical journal},
volume = {116},
number = {1},
issn = {0006-3495},
address = {Bethesda, Md.},
publisher = {Soc.},
reportid = {FZJ-2019-00141},
pages = {4 - 11},
year = {2019},
abstract = {We introduce a computational toolset, named GROmaρs, to
obtain and compare time-averaged density maps from molecular
dynamics simulations. GROmaρs efficiently computes density
maps by fast multi-Gaussian spreading of atomic densities
onto a three-dimensional grid. It complements existing
map-based tools by enabling spatial inspection of atomic
average localization during the simulations. Most
importantly, it allows the comparison between computed and
reference maps (e.g., experimental) through calculation of
difference maps and local and time-resolved global
correlation. These comparison operations proved useful to
quantitatively contrast perturbed and control simulation
data sets and to examine how much biomolecular systems
resemble both synthetic and experimental density maps. This
was especially advantageous for multimolecule systems in
which standard comparisons like RMSDs are difficult to
compute. In addition, GROmaρs incorporates absolute and
relative spatial free-energy estimates to provide an
energetic picture of atomistic localization. This is an
open-source GROMACS-based toolset, thus allowing for static
or dynamic selection of atoms or even coarse-grained beads
for the density calculation. Furthermore, masking of regions
was implemented to speed up calculations and to facilitate
the comparison with experimental maps. Beyond map
comparison, GROmaρs provides a straightforward method to
detect solvent cavities and average charge distribution in
biomolecular systems. We employed all these functionalities
to inspect the localization of lipid and water molecules in
aquaporin systems, the binding of cholesterol to the G
protein coupled chemokine receptor type 4, and the
identification of permeation pathways through the dermicidin
antimicrobial channel. Based on these examples, we
anticipate a high applicability of GROmaρs for the analysis
of molecular dynamics simulations and their comparison with
experimentally determined densities.},
cin = {ICS-4},
ddc = {570},
cid = {I:(DE-Juel1)ICS-4-20110106},
pnm = {552 - Engineering Cell Function (POF3-552)},
pid = {G:(DE-HGF)POF3-552},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:30558883},
UT = {WOS:000455089100003},
doi = {10.1016/j.bpj.2018.11.3126},
url = {https://juser.fz-juelich.de/record/859267},
}