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Multiscale methods for macromolecular simulations

Open access
Sherwood, Paul, Brooks, Bernard R, Sansom, Mark SP·2008·Current Opinion in Structural Biology

Abstract

Summary In this article we review the key modelling tools available for simulating biomolecular systems. We consider recent developments and representative applications of mixed quantum mechanics / molecular mechanics (QM/MM), Elastic Network Models (ENM), coarse-grained molecular dynamics and grid based tools for calculating interactions between essentially rigid protein assemblies. We consider how the different length scales can be coupled, both in a sequential fashion (e.g. a coarse-grained or grid model using parameterisation from MD simulations), and via concurrent approaches, where the calculations are performed together and together control the progress of the simulation. We suggest how the concurrent coupling approach familiar in the context of QM/MM calculations can be generalised, and describe how this has been done in the CHARMM macromolecular simulation package.

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Metadata

Authors
Sherwood, P., Brooks, B. R., & Sansom, M. S.
Venue
Current Opinion in Structural Biology
Publisher
Elsevier BV
Published
2008-10
Volume
18
Issue
5
Pages
630-640
ISSN
0959-440X (ISSN-L)
OpenAlex
W2007961905
Cited by
180
References
2
FWCI
1.14
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Multiscale methods for macromolecular simulations. https://app.cochat.ai/papers/10.1016/j.sbi.2008.07.003
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Sherwood, P., Brooks, B. R., & Sansom, M. S. (2008). Multiscale methods for macromolecular simulations. Current Opinion in Structural Biology. https://doi.org/10.1016/j.sbi.2008.07.003

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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.