Bonomi Massimiliano, Heller Gabriella T, Camilloni Carlo, Vendruscolo Michele
Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK.
Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK.
Curr Opin Struct Biol. 2017 Feb;42:106-116. doi: 10.1016/j.sbi.2016.12.004. Epub 2017 Jan 5.
The biological functions of protein molecules are intimately dependent on their conformational dynamics. This aspect is particularly evident for disordered proteins, which constitute perhaps one-third of the human proteome. Therefore, structural ensembles often offer more useful representations of proteins than individual conformations. Here, we describe how the well-established principles of protein structure determination should be extended to the case of protein structural ensembles determination. These principles concern primarily how to deal with conformationally heterogeneous states, and with experimental measurements that are averaged over such states and affected by a variety of errors. We first review the growing literature of recent methods that combine experimental and computational information to model structural ensembles, highlighting their similarities and differences. We then address some conceptual problems in the determination of structural ensembles and define future goals towards the establishment of objective criteria for the comparison, validation, visualization and dissemination of such ensembles.
蛋白质分子的生物学功能与其构象动力学密切相关。这一点在无序蛋白质中尤为明显,无序蛋白质约占人类蛋白质组的三分之一。因此,与单个构象相比,结构集合通常能更有效地呈现蛋白质。在此,我们描述了既定的蛋白质结构测定原理应如何扩展到蛋白质结构集合测定的情况。这些原理主要涉及如何处理构象异质性状态,以及如何处理在这些状态上进行平均且受各种误差影响的实验测量。我们首先回顾了结合实验和计算信息来构建结构集合的最新方法的相关文献,突出它们的异同。然后,我们探讨了结构集合测定中的一些概念性问题,并明确了建立用于此类集合比较、验证、可视化和传播的客观标准的未来目标。