ArticleThe journal of physical chemistry. B2016
Markovian and Non-Markovian Modeling of Membrane Dynamics with Milestoning.
Article in The journal of physical chemistry. B, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Membrane Permeability of Sucrose Calculated from Equilibrium Time-Correlation Functions Using Molecular Dynamics Simulations with Enhanced Sampling.The journal of physical chemistry. B · 2025Article
- Statistical Mechanical Theories of Membrane Permeability.The journal of physical chemistry. B · 2024Article
- QMrebind: incorporating quantum mechanical force field reparameterization at the ligand binding site for improved drug-target kinetics through milestoning simulations.Chemical science · 2023Article
- The time-fractional kinetic equation for the non-equilibrium processes.Scientific reports · 2021Article
- Protein storytelling through physics.Science (New York, N.Y.) · 2020Review
- Membrane permeability of small molecules from unbiased molecular dynamics simulations.The Journal of chemical physics · 2020Article
- Subdiffusion in Membrane Permeation of Small Molecules.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
We exploit atomically detailed simulations and the milestoning theory to extract coarse grained models of membrane kinetics and thermodynamics. Non-Markovian and Markovian theories for the phosphate group displacements are used to coarsely represent membrane motions. The construction of the two models makes it possible to examine their consistency and accuracy. The equilibrium and fluctuations of the phosphate groups along the normal to the membrane plane are estimated, and milestoning equations are constructed and solved. An optimal Markovian model is constructed that reproduces exactly the equilibrium and mean first passage time (MFPT) of the non-Markovian model. The equilibrium solution of both models is favorably compared to distributions obtained from straightforward molecular dynamics simulations. The picture for the kinetics is complex. Multiple local relaxation times of the mass density are illustrated emphasizing the non-Markovian characteristics of the process. In Markovian modeling, only a single relaxation time is assumed for a state. Mapping of particle dynamics to the dynamics of a field density offers a new way of coarse graining complex systems as membranes that may bridge between atomically detailed models and phenomenological descriptions of macroscopic membranes.
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Registered trials
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