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Role of Computational Methods in Going beyond X-ray Crystallography to Explore Protein Structure and Dynamics

机译:计算方法在超越X射线晶体学探索蛋白质结构和动力学方面的作用

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摘要

Protein structural biology came a long way since the determination of the first three-dimensional structure of myoglobin about six decades ago. Across this period, X-ray crystallography was the most important experimental method for gaining atomic-resolution insight into protein structures. However, as the role of dynamics gained importance in the function of proteins, the limitations of X-ray crystallography in not being able to capture dynamics came to the forefront. Computational methods proved to be immensely successful in understanding protein dynamics in solution, and they continue to improve in terms of both the scale and the types of systems that can be studied. In this review, we briefly discuss the limitations of X-ray crystallography in studying protein dynamics, and then provide an overview of different computational methods that are instrumental in understanding the dynamics of proteins and biomacromolecular complexes.
机译:自大约六十年前确定肌红蛋白的第一个三维结构以来,蛋白质结构生物学就走了很长一段路。在此期间,X射线晶体学是获得原子分辨率深入了解蛋白质结构的最重要的实验方法。但是,随着动力学在蛋白质功能中的作用越来越重要,X射线晶体学在无法捕获动力学方面的局限性成为最重要的问题。实践证明,计算方法在理解溶液中的蛋白质动力学方面非常成功,并且在规模和可研究系统的类型方面都在不断改进。在这篇综述中,我们简要讨论了X射线晶体学在研究蛋白质动力学方面的局限性,然后概述了有助于理解蛋白质和生物大分子复合物动力学的各种计算方法。

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