Published in

American Institute of Physics, The Journal of Chemical Physics, 3(157), p. 034101, 2022

DOI: 10.1063/5.0095523

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Small ionic radii limit time step in Martini 3 molecular dynamics simulations

Journal article published in 2022 by Balázs Fábián ORCID, Sebastian Thallmair ORCID, Gerhard Hummer ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Among other improvements, the Martini 3 coarse-grained force field provides a more accurate description of the solvation of protein pockets and channels through the consistent use of various bead types and sizes. Here, we show that the representation of Na+ and Cl ions as “tiny” (TQ5) beads limits the accessible time step to 25 fs. By contrast, with Martini 2, time steps of 30–40 fs were possible for lipid bilayer systems without proteins. This limitation is relevant for systems that require long equilibration times. We derive a quantitative kinetic model of time-integration instabilities in molecular dynamics (MD) as a function of the time step, ion concentration and mass, system size, and simulation time. We demonstrate that ion–water interactions are the main source of instability at physiological conditions, followed closely by ion–ion interactions. We show that increasing the ionic masses makes it possible to use time steps up to 40 fs with minimal impact on static equilibrium properties and dynamical quantities, such as lipid and solvent diffusion coefficients. Increasing the size of the bead representing the ions (and thus changing their hydration) also permits longer time steps. For a soluble protein, we find that increasing the mass of tiny beads also on the protein permits simulations with 30-fs time steps. The use of larger time steps in Martini 3 results in a more efficient exploration of configuration space. The kinetic model of MD simulation crashes can be used to determine the maximum allowed time step upfront for an efficient use of resources and whenever sampling efficiency is critical.