Literature DB >> 29390800

Particle-based membrane model for mesoscopic simulation of cellular dynamics.

Mohsen Sadeghi1, Thomas R Weikl2, Frank Noé1.   

Abstract

We present a simple and computationally efficient coarse-grained and solvent-free model for simulating lipid bilayer membranes. In order to be used in concert with particle-based reaction-diffusion simulations, the model is purely based on interacting and reacting particles, each representing a coarse patch of a lipid monolayer. Particle interactions include nearest-neighbor bond-stretching and angle-bending and are parameterized so as to reproduce the local membrane mechanics given by the Helfrich energy density over a range of relevant curvatures. In-plane fluidity is implemented with Monte Carlo bond-flipping moves. The physical accuracy of the model is verified by five tests: (i) Power spectrum analysis of equilibrium thermal undulations is used to verify that the particle-based representation correctly captures the dynamics predicted by the continuum model of fluid membranes. (ii) It is verified that the input bending stiffness, against which the potential parameters are optimized, is accurately recovered. (iii) Isothermal area compressibility modulus of the membrane is calculated and is shown to be tunable to reproduce available values for different lipid bilayers, independent of the bending rigidity. (iv) Simulation of two-dimensional shear flow under a gravity force is employed to measure the effective in-plane viscosity of the membrane model and show the possibility of modeling membranes with specified viscosities. (v) Interaction of the bilayer membrane with a spherical nanoparticle is modeled as a test case for large membrane deformations and budding involved in cellular processes such as endocytosis. The results are shown to coincide well with the predicted behavior of continuum models, and the membrane model successfully mimics the expected budding behavior. We expect our model to be of high practical usability for ultra coarse-grained molecular dynamics or particle-based reaction-diffusion simulations of biological systems.

Entities:  

Year:  2018        PMID: 29390800     DOI: 10.1063/1.5009107

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  7 in total

1.  Stochastic self-tuning hybrid algorithm for reaction-diffusion systems.

Authors:  Á Ruiz-Martínez; T M Bartol; T J Sejnowski; D M Tartakovsky
Journal:  J Chem Phys       Date:  2019-12-28       Impact factor: 3.488

2.  Polymer-like Model to Study the Dynamics of Dynamin Filaments on Deformable Membrane Tubes.

Authors:  Jeffrey K Noel; Frank Noé; Oliver Daumke; Alexander S Mikhailov
Journal:  Biophys J       Date:  2019-10-09       Impact factor: 4.033

3.  A Review of Mechanics-Based Mesoscopic Membrane Remodeling Methods: Capturing Both the Physics and the Chemical Diversity.

Authors:  Gaurav Kumar; Satya Chaithanya Duggisetty; Anand Srivastava
Journal:  J Membr Biol       Date:  2022-10-05       Impact factor: 2.426

Review 4.  Computational Modeling of Realistic Cell Membranes.

Authors:  Siewert J Marrink; Valentina Corradi; Paulo C T Souza; Helgi I Ingólfsson; D Peter Tieleman; Mark S P Sansom
Journal:  Chem Rev       Date:  2019-01-09       Impact factor: 72.087

5.  Large-scale simulation of biomembranes incorporating realistic kinetics into coarse-grained models.

Authors:  Mohsen Sadeghi; Frank Noé
Journal:  Nat Commun       Date:  2020-06-11       Impact factor: 14.919

6.  The gravity dependence of pharmacodynamics: the integration of lidocaine into membranes in microgravity.

Authors:  Florian P M Kohn; Jens Hauslage
Journal:  NPJ Microgravity       Date:  2019-03-06       Impact factor: 4.415

7.  Mem3DG: Modeling membrane mechanochemical dynamics in 3D using discrete differential geometry.

Authors:  Cuncheng Zhu; Christopher T Lee; Padmini Rangamani
Journal:  Biophys Rep (N Y)       Date:  2022-06-15
  7 in total

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