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Cited by 320

The DOI matches its Crossref record; 365 of the 365 references it cites were found in a registry or an index.

Biological and synthetic membranes: What can be learned from a coarse-grained description?

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MULLER, M, KATSOV, K, SCHICK, M·2006·Physics Reports

Abstract

We discuss the role coarse-grained models play in the investigation of the structure and thermodynamics of bilayer membranes, and we place them in the context of alternative approaches. Because they reduce the degrees of freedom and employ simple and soft effective potentials, coarse-grained models can provide rather direct insight into collective phenomena in membranes on large time and length scales. We present a summary of recent progress in this rapidly evolving field, and pay special attention to model development and computational techniques. Applications of coarse-grained models to changes of the membrane topology are illustrated with studies of membrane fusion utilizing simulations and self-consistent field theory.

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Crossref · 10.1016/j.physrep.2006.08.003

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Metadata

Authors
MULLER, M., KATSOV, K., & SCHICK, M.
Venue
Physics Reports
Publisher
Elsevier BV
Published
2006-11
Volume
434
Issue
5-6
Pages
113-176
ISSN
0370-1573 (ISSN-L)
OpenAlex
W2039981635
Cited by
320
References
365
FWCI
8.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biological and synthetic membranes: What can be learned from a coarse-grained description? https://app.cochat.ai/papers/10.1016/j.physrep.2006.08.003
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MULLER, M., KATSOV, K., & SCHICK, M. (2006). Biological and synthetic membranes: What can be learned from a coarse-grained description? Physics Reports. https://doi.org/10.1016/j.physrep.2006.08.003

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.