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GROma rho s: A GROMACS-Based Toolset to Analyze Density Maps Derived from Molecular Dynamics Simulations
Stockholms universitet, Naturvetenskapliga fakulteten, Institutionen för biokemi och biofysik. Stockholms universitet, Science for Life Laboratory (SciLifeLab).
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Antal upphovsmän: 52019 (Engelska)Ingår i: Biophysical Journal, ISSN 0006-3495, E-ISSN 1542-0086, Vol. 116, nr 1, s. 4-11Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

We introduce a computational toolset, named GROma rho s, to obtain and compare time-averaged density maps from molecular dynamics simulations. GROma rho s 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, GROma rho s 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, GROma rho s 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 GROma rho s for the analysis of molecular dynamics simulations and their comparison with experimentally determined densities.

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2019. Vol. 116, nr 1, s. 4-11
Nationell ämneskategori
Biologiska vetenskaper
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URN: urn:nbn:se:su:diva-165681DOI: 10.1016/j.bpj.2018.11.3126ISI: 000455089100003PubMedID: 30558883Scopus ID: 2-s2.0-85058367109OAI: oai:DiVA.org:su-165681DiVA, id: diva2:1286090
Tillgänglig från: 2019-02-06 Skapad: 2019-02-06 Senast uppdaterad: 2022-04-01Bibliografiskt granskad

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Blau, Christian

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