Backmapping triangulated surfaces to coarse-grained membrane models

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Backmapping triangulated surfaces to coarse-grained membrane models. / Pezeshkian, Weria; Konig, Melanie; Wassenaar, Tsjerk A.; Marrink, Siewert J.

In: Nature Communications, Vol. 11, No. 1, 2296, 08.05.2020.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Pezeshkian, W, Konig, M, Wassenaar, TA & Marrink, SJ 2020, 'Backmapping triangulated surfaces to coarse-grained membrane models', Nature Communications, vol. 11, no. 1, 2296. https://doi.org/10.1038/s41467-020-16094-y

APA

Pezeshkian, W., Konig, M., Wassenaar, T. A., & Marrink, S. J. (2020). Backmapping triangulated surfaces to coarse-grained membrane models. Nature Communications, 11(1), [2296]. https://doi.org/10.1038/s41467-020-16094-y

Vancouver

Pezeshkian W, Konig M, Wassenaar TA, Marrink SJ. Backmapping triangulated surfaces to coarse-grained membrane models. Nature Communications. 2020 May 8;11(1). 2296. https://doi.org/10.1038/s41467-020-16094-y

Author

Pezeshkian, Weria ; Konig, Melanie ; Wassenaar, Tsjerk A. ; Marrink, Siewert J. / Backmapping triangulated surfaces to coarse-grained membrane models. In: Nature Communications. 2020 ; Vol. 11, No. 1.

Bibtex

@article{d97e669007e24a028fe2c423b0c2eb3b,
title = "Backmapping triangulated surfaces to coarse-grained membrane models",
abstract = "Many biological processes involve large-scale changes in membrane shape. Computer simulations of these processes are challenging since they occur across a wide range of spatiotemporal scales that cannot be investigated in full by any single current simulation technique. A potential solution is to combine different levels of resolution through a multiscale scheme. Here, we present a multiscale algorithm that backmaps a continuum membrane model represented as a dynamically triangulated surface (DTS) to its corresponding molecular model based on the coarse-grained (CG) Martini force field. Thus, we can use DTS simulations to equilibrate slow large-scale membrane conformational changes and then explore the local properties at CG resolution. We demonstrate the power of our method by backmapping a vesicular bud induced by binding of Shiga toxin and by transforming the membranes of an entire mitochondrion to near-atomic resolution. Our approach opens the way to whole cell simulations at molecular detail. Computer simulations of large-scale changes in membrane shape are challenging since they occur across a wide range of spatiotemporal scales. Here, authors present a multiscale algorithm that backmaps a continuum membrane model represented as a dynamically triangulated surface to its corresponding molecular model based on the coarse-grained Martini force field.",
keywords = "SPONTANEOUS-CURVATURE, MOLECULAR-DYNAMICS, FORCE-FIELD, MECHANISM, PROTEINS, GROMACS, MARTINI, TOOL",
author = "Weria Pezeshkian and Melanie Konig and Wassenaar, {Tsjerk A.} and Marrink, {Siewert J.}",
year = "2020",
month = may,
day = "8",
doi = "10.1038/s41467-020-16094-y",
language = "English",
volume = "11",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - Backmapping triangulated surfaces to coarse-grained membrane models

AU - Pezeshkian, Weria

AU - Konig, Melanie

AU - Wassenaar, Tsjerk A.

AU - Marrink, Siewert J.

PY - 2020/5/8

Y1 - 2020/5/8

N2 - Many biological processes involve large-scale changes in membrane shape. Computer simulations of these processes are challenging since they occur across a wide range of spatiotemporal scales that cannot be investigated in full by any single current simulation technique. A potential solution is to combine different levels of resolution through a multiscale scheme. Here, we present a multiscale algorithm that backmaps a continuum membrane model represented as a dynamically triangulated surface (DTS) to its corresponding molecular model based on the coarse-grained (CG) Martini force field. Thus, we can use DTS simulations to equilibrate slow large-scale membrane conformational changes and then explore the local properties at CG resolution. We demonstrate the power of our method by backmapping a vesicular bud induced by binding of Shiga toxin and by transforming the membranes of an entire mitochondrion to near-atomic resolution. Our approach opens the way to whole cell simulations at molecular detail. Computer simulations of large-scale changes in membrane shape are challenging since they occur across a wide range of spatiotemporal scales. Here, authors present a multiscale algorithm that backmaps a continuum membrane model represented as a dynamically triangulated surface to its corresponding molecular model based on the coarse-grained Martini force field.

AB - Many biological processes involve large-scale changes in membrane shape. Computer simulations of these processes are challenging since they occur across a wide range of spatiotemporal scales that cannot be investigated in full by any single current simulation technique. A potential solution is to combine different levels of resolution through a multiscale scheme. Here, we present a multiscale algorithm that backmaps a continuum membrane model represented as a dynamically triangulated surface (DTS) to its corresponding molecular model based on the coarse-grained (CG) Martini force field. Thus, we can use DTS simulations to equilibrate slow large-scale membrane conformational changes and then explore the local properties at CG resolution. We demonstrate the power of our method by backmapping a vesicular bud induced by binding of Shiga toxin and by transforming the membranes of an entire mitochondrion to near-atomic resolution. Our approach opens the way to whole cell simulations at molecular detail. Computer simulations of large-scale changes in membrane shape are challenging since they occur across a wide range of spatiotemporal scales. Here, authors present a multiscale algorithm that backmaps a continuum membrane model represented as a dynamically triangulated surface to its corresponding molecular model based on the coarse-grained Martini force field.

KW - SPONTANEOUS-CURVATURE

KW - MOLECULAR-DYNAMICS

KW - FORCE-FIELD

KW - MECHANISM

KW - PROTEINS

KW - GROMACS

KW - MARTINI

KW - TOOL

U2 - 10.1038/s41467-020-16094-y

DO - 10.1038/s41467-020-16094-y

M3 - Journal article

VL - 11

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 2296

ER -

ID: 316752526