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利用X射线散射和分子模拟对构象灵活的蛋白质进行建模

Modeling Conformationally Flexible Proteins With X-ray Scattering and Molecular Simulations.

作者信息

Powers Kyle T, Gildenberg Melissa S, Washington M Todd

机构信息

Department of Biochemistry, University of Iowa College of Medicine, Iowa City, IA 52242-1109, United States of America.

出版信息

Comput Struct Biotechnol J. 2019 Apr 22;17:570-578. doi: 10.1016/j.csbj.2019.04.011. eCollection 2019.

Abstract

Proteins and protein complexes with high conformational flexibility participate in a wide range of biological processes. These processes include genome maintenance, gene expression, signal transduction, cell cycle regulation, and many others. Gaining a structural understanding of conformationally flexible proteins and protein complexes is arguably the greatest problem facing structural biologists today. Over the last decade, some progress has been made toward understanding the conformational flexibility of such systems using hybrid approaches. One particularly fruitful strategy has been the combination of small-angle X-ray scattering (SAXS) and molecular simulations. In this article, we provide a brief overview of SAXS and molecular simulations and then discuss two general approaches for combining SAXS data and molecular simulations: minimal ensemble approaches and full ensemble approaches. In minimal ensemble approaches, one selects a minimal ensemble of structures from the simulations that best fit the SAXS data. In full ensemble approaches, one validates a full ensemble of structures from the simulations using SAXS data. We argue that full ensemble models are more realistic than minimal ensemble searches models and that full ensemble approaches should be used wherever possible.

摘要

具有高度构象灵活性的蛋白质和蛋白质复合物参与了广泛的生物过程。这些过程包括基因组维护、基因表达、信号转导、细胞周期调控等等。从结构上理解构象灵活的蛋白质和蛋白质复合物,无疑是当今结构生物学家面临的最大问题。在过去十年中,使用混合方法在理解此类系统的构象灵活性方面取得了一些进展。一种特别富有成效的策略是小角X射线散射(SAXS)与分子模拟相结合。在本文中,我们简要概述了SAXS和分子模拟,然后讨论了两种将SAXS数据与分子模拟相结合的一般方法:最小系综方法和完整系综方法。在最小系综方法中,人们从模拟中选择最符合SAXS数据的最小结构系综。在完整系综方法中,人们使用SAXS数据验证模拟中的完整结构系综。我们认为完整系综模型比最小系综搜索模型更现实,并且应尽可能使用完整系综方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/416b/6495069/af14e81d9025/ga1.jpg

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