Everything You Want to Know About Coarse‐Graining and Never Dared to Ask: Macromolecules as a Key Example

ABSTRACT Coarse‐graining (CG) is transforming the study of molecular systems, allowing researchers to explore by computer simulations larger and more complex structures than ever before. Continued advancements in CG techniques are making simulations more efficient, establishing this approach as a cornerstone for designing innovative materials and eco‐friendly alternatives to traditional plastics. Additionally, CG methods are becoming indispensable for unraveling the complexities and functional mechanisms of large‐scale macromolecular machines within cells. Yet, crafting an effective coarse‐grained model demands a nuanced understanding of its advantages and limitations. Faster simulations come at the cost of molecular detail and accuracy in some properties, so that it is essential to balance computational efficiency with the specific needs of the system one wants to simulate. By asking the right questions, researchers can select models that offer the desired benefits while managing trade‐offs. This article delves into the potential of different CG models and the compromises inherent in their adoption, highlighting their role in shaping the future of material science and biophysics.

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Publication Details

Journal
Wiley Interdisciplinary Reviews Computational Molecular Science
Published
2025-03-01
DOI
https://doi.org/10.1002/wcms.70022
Citations
8
Primary Topic
Advanced Polymer Synthesis and Characterization
Type
article
Field-Weighted Citation Impact
7.49

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article

Everything You Want to Know About Coarse‐Graining and Never Dared to Ask: Macromolecules as a Key Example

Marina Guenza
8 citations
Wiley Interdisciplinary Reviews Computational Molecular Science
Advanced Polymer Synthesis and Characterization
7.49
article

Everything You Want to Know About Coarse‐Graining and Never Dared to Ask: Macromolecules as a Key Example

Marina Guenza
article en
8 citations

Abstract

ABSTRACT Coarse‐graining (CG) is transforming the study of molecular systems, allowing researchers to explore by computer simulations larger and more complex structures than ever before. Continued advancements in CG techniques are making simulations more efficient, establishing this approach as a cornerstone for designing innovative materials and eco‐friendly alternatives to traditional plastics. Additionally, CG methods are becoming indispensable for unraveling the complexities and functional mechanisms of large‐scale macromolecular machines within cells. Yet, crafting an effective coarse‐grained model demands a nuanced understanding of its advantages and limitations. Faster simulations come at the cost of molecular detail and accuracy in some properties, so that it is essential to balance computational efficiency with the specific needs of the system one wants to simulate. By asking the right questions, researchers can select models that offer the desired benefits while managing trade‐offs. This article delves into the potential of different CG models and the compromises inherent in their adoption, highlighting their role in shaping the future of material science and biophysics.

Wiley Interdisciplinary Reviews Computational Molecular ScienceVol. 15(2)
University of Oregon (US)
National Science Foundation, University of Oregon, Division of Chemistry
Openalex Percentile: Top 3%
Advanced Polymer Synthesis and Characterization
7.49
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Everything You Want to Know About Coarse‐Graining and Never Dared to Ask: Macromolecules as a Key Example — Marina Guenza · Wiley Interdisciplinary Reviews Computational Molecular Science (2025) | TGRS Research Map | TGRS