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Coarse-grained models of protein folding: toy models or predictive tools?

机译:蛋白质折叠的粗粒度模型:玩具模型还是预测工具?

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摘要

Coarse-grained models are emerging as a practical alternative to all-atom simulations for the characterization of protein folding mechanisms over long time scales. While a decade ago minimalist toy models were mainly designed to test general hypotheses on the principles regulating protein folding, the latest coarse-grained models are increasingly realistic and can be used to characterize quantitatively the detailed folding mechanism of specific proteins. The ability of such models to reproduce the essential features of folding dynamics suggests that each single atomic degree of freedom is not by itself particularly relevant to folding and supports a statistical mechanical approach to characterize folding transitions. When combined with more refined models and with experimental studies, the systematic investigation of protein systems and complexes using coarse-grained models can advance our theoretical understanding of the actual organizing principles that emerge from the complex network of interactions among protein atomic constituents.
机译:粗粒度模型作为全原子模拟的一种实用替代方法正在出现,用于长期表征蛋白质折叠机制。十年前,极简主义的玩具模型主要用于测试有关调节蛋白质折叠原理的一般假设,而最新的粗粒度模型却越来越现实,可用于定量表征特定蛋白质的详细折叠机制。这种模型再现折叠动力学基本特征的能力表明,每个单个原子的自由度本身都不与折叠特别相关,并且支持统计机械方法来表征折叠过渡。当与更精细的模型以及实验研究结合使用时,使用粗粒度模型对蛋白质系统和复合物进行系统的研究可以提高我们对从蛋白质原子成分之间相互作用的复杂网络中出现的实际组织原理的理论理解。

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