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  TriMem: A parallelized hybrid Monte Carlo software for efficient simulations of lipid membranes

Siggel, M., Kehl, S., Reuter, K., Köfinger, J., & Hummer, G. (2022). TriMem: A parallelized hybrid Monte Carlo software for efficient simulations of lipid membranes. The Journal of Chemical Physics, 157(17): 174801. doi:10.1063/5.0101118.

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 Creators:
Siggel, Marc1, Author           
Kehl, Sebastian2, Author
Reuter, Klaus2, Author
Köfinger, Jürgen1, Author                 
Hummer, Gerhard1, 3, Author                 
Affiliations:
1Department of Theoretical Biophysics, Max Planck Institute of Biophysics, Max Planck Society, ou_2068292              
2Max Planck Computing and Data Facility, Garching, Germany, ou_persistent22              
3Institute of Biophysics, Goethe University Frankfurt, Frankfurt am Main, Germany, ou_persistent22              

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 Abstract: Lipid membranes are integral building blocks of living cells and perform a multitude of biological functions. Currently, molecular simulations of cellular-scale membrane remodeling processes at atomic resolution are extremely difficult, due to their size, complexity, and the large times-scales on which these processes occur. Instead, elastic membrane models are used to simulate membrane shapes and transitions between them and to infer their properties and functions. Unfortunately, an efficiently parallelized open-source simulation code to do so has been lacking. Here, we present TriMem, a parallel hybrid Monte Carlo simulation engine for triangulated lipid membranes. The kernels are efficiently coded in C++ and wrapped with Python for ease-of-use. The parallel implementation of the energy and gradient calculations and of Monte Carlo flip moves of edges in the triangulated membrane enable us to simulate large and highly curved membrane structures. For validation, we reproduce phase diagrams of vesicles with varying surface-to-volume ratios and area difference. We also compute the density of states to verify correct Boltzmann sampling. The software can be used to tackle a range of large-scale membrane remodeling processes as a step toward cell-scale simulations. Additionally, extensive documentation make the software accessible to the broad biophysics and computational cell biology communities.

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Language(s): eng - English
 Dates: 2022-05-292022-09-302022-11-012022-11-07
 Publication Status: Issued
 Pages: 15
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/5.0101118
BibTex Citekey: siggel_trimem_2022
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Title: The Journal of Chemical Physics
  Abbreviation : J. Chem. Phys.
Source Genre: Journal
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Publ. Info: Woodbury, N.Y. : American Institute of Physics
Pages: - Volume / Issue: 157 (17) Sequence Number: 174801 Start / End Page: - Identifier: ISSN: 0021-9606
CoNE: https://pure.mpg.de/cone/journals/resource/954922836226