您想知道却从未敢问的粗粒度问题:以大分子为例

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Marina G. Guenza
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引用次数: 0

摘要

粗粒化(CG)正在改变分子系统的研究,使研究人员能够通过计算机模拟探索比以往更大、更复杂的结构。CG技术的不断进步使模拟更加高效,将这种方法建立为设计创新材料和传统塑料的环保替代品的基石。此外,CG方法在揭示细胞内大型大分子机器的复杂性和功能机制方面变得不可或缺。然而,创建一个有效的粗粒度模型需要对其优点和局限性有细致入微的理解。更快的模拟是以分子的细节和某些属性的准确性为代价的,因此,在计算效率和想要模拟的系统的特定需求之间取得平衡是至关重要的。通过提出正确的问题,研究人员可以选择在管理权衡的同时提供所需利益的模型。本文深入探讨了不同CG模型的潜力及其采用中固有的妥协,强调了它们在塑造材料科学和生物物理学未来中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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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来源期刊
Wiley Interdisciplinary Reviews: Computational Molecular Science
Wiley Interdisciplinary Reviews: Computational Molecular Science CHEMISTRY, MULTIDISCIPLINARY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
28.90
自引率
1.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Computational molecular sciences harness the power of rigorous chemical and physical theories, employing computer-based modeling, specialized hardware, software development, algorithm design, and database management to explore and illuminate every facet of molecular sciences. These interdisciplinary approaches form a bridge between chemistry, biology, and materials sciences, establishing connections with adjacent application-driven fields in both chemistry and biology. WIREs Computational Molecular Science stands as a platform to comprehensively review and spotlight research from these dynamic and interconnected fields.
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