Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, United States.
Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, 02138, United States.
Biochim Biophys Acta Biomembr. 2018 Apr;1860(4):895-908. doi: 10.1016/j.bbamem.2017.10.004. Epub 2017 Oct 7.
Recently, protein sequence coevolution analysis has matured into a predictive powerhouse for protein structure and function. Direct methods, which use global statistical models of sequence coevolution, have enabled the prediction of membrane and disordered protein structures, protein complex architectures, and the functional effects of mutations in proteins. The field of membrane protein biochemistry and structural biology has embraced these computational techniques, which provide functional and structural information in an otherwise experimentally-challenging field. Here we review recent applications of protein sequence coevolution analysis to membrane protein structure and function and highlight the promising directions and future obstacles in these fields. We provide insights and guidelines for membrane protein biochemists who wish to apply sequence coevolution analysis to a given experimental system.
最近，蛋白质序列共进化分析已经成熟为一种预测蛋白质结构和功能的强大工具。直接方法利用序列共进化的全局统计模型，能够预测膜蛋白和无序蛋白的结构、蛋白质复合物的结构，以及蛋白质突变的功能影响。膜蛋白生物化学和结构生物学领域已经接受了这些计算技术，它们为原本在实验上具有挑战性的领域提供了功能和结构信息。在这里，我们回顾了蛋白质序列共进化分析在膜蛋白结构和功能中的最新应用，并强调了这些领域中具有前景的方向和未来的障碍。我们为希望将序列共进化分析应用于特定实验系统的膜蛋白生物化学家提供了见解和指导。
