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Accelerating Membrane Simulations with Hydrogen Mass Repartitioning.
- Source :
-
Journal of chemical theory and computation [J Chem Theory Comput] 2019 Aug 13; Vol. 15 (8), pp. 4673-4686. Date of Electronic Publication: 2019 Jul 02. - Publication Year :
- 2019
-
Abstract
- The time step of atomistic molecular dynamics (MD) simulations is determined by the fastest motions in the system and is typically limited to 2 fs. An increasingly popular approach is to increase the mass of the hydrogen atoms to ∼3 amu and decrease the mass of the parent atom by an equivalent amount. This approach, known as hydrogen-mass repartitioning (HMR), permits time steps up to 4 fs with reasonable simulation stability. While HMR has been applied in many published studies to date, it has not been extensively tested for membrane-containing systems. Here, we compare the results of simulations of a variety of membranes and membrane-protein systems run using a 2 fs time step and a 4 fs time step with HMR. For pure membrane systems, we find almost no difference in structural properties, such as area-per-lipid, electron density profiles, and order parameters, although there are differences in kinetic properties such as the diffusion constant. Conductance through a porin in an applied field, partitioning of a small peptide, hydrogen-bond dynamics, and membrane mixing show very little dependence on HMR and the time step. We also tested a 9 Å cutoff as compared to the standard CHARMM cutoff of 12 Å, finding significant deviations in many properties tested. We conclude that HMR is a valid approach for membrane systems, but a 9 Å cutoff is not.
- Subjects :
- Diffusion
Glycophorins chemistry
Humans
Motion
Peptides chemistry
Phosphatidylcholines chemistry
Protein Multimerization
Receptors, G-Protein-Coupled chemistry
Thermodynamics
Cell Membrane chemistry
Hydrogen chemistry
Lipid Bilayers chemistry
Membrane Proteins chemistry
Molecular Dynamics Simulation
Subjects
Details
- Language :
- English
- ISSN :
- 1549-9626
- Volume :
- 15
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Journal of chemical theory and computation
- Publication Type :
- Academic Journal
- Accession number :
- 31265271
- Full Text :
- https://doi.org/10.1021/acs.jctc.9b00160