Bioinformatics Institute, Agency for Science, Technology and Research (A(∗)STAR), Matrix 07-01, 30 Biopolis Street, Singapore 138671, Singapore; Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester M1 7DN, UK.
Bioinformatics Institute, Agency for Science, Technology and Research (A(∗)STAR), Matrix 07-01, 30 Biopolis Street, Singapore 138671, Singapore.
Structure. 2016 Nov 1;24(11):2024-2033. doi: 10.1016/j.str.2016.09.006. Epub 2016 Oct 20.
Critical regulatory pathways are replete with instances of intra- and interfamily protein-protein interactions due to the pervasiveness of gene duplication throughout evolution. Discerning the specificity determinants within these systems has proven a challenging task. Here, we present an energetic analysis of the specificity determinants within the Bcl-2 family of proteins (key regulators of the intrinsic apoptotic pathway) via a total of ∼20 μs of simulation of 60 distinct protein-protein complexes. We demonstrate where affinity and specificity of protein-protein interactions arise across the family, and corroborate our conclusions with extensive experimental evidence. We identify energy and specificity hotspots that may offer valuable guidance in the design of targeted therapeutics for manipulating the protein-protein interactions within the apoptosis-regulating pathway. Moreover, we propose a conceptual framework that allows us to quantify the relationship between sequence, structure, and binding energetics. This approach may represent a general methodology for investigating other paralogous protein-protein interaction sites.
关键调控途径中充满了家族内和家族间的蛋白质-蛋白质相互作用实例,这是由于基因在进化过程中普遍存在重复。在这些系统中辨别特异性决定因素已被证明是一项具有挑战性的任务。在这里,我们通过对 60 个不同蛋白质-蛋白质复合物进行总计约 20 μs 的模拟,对 Bcl-2 家族蛋白(内在凋亡途径的关键调控因子)的特异性决定因素进行了能量分析。我们展示了家族内蛋白质-蛋白质相互作用的亲和力和特异性是如何产生的,并通过广泛的实验证据证实了我们的结论。我们确定了能量和特异性热点,这可能为设计靶向治疗药物以操纵凋亡调控途径中的蛋白质-蛋白质相互作用提供有价值的指导。此外,我们提出了一个概念框架,使我们能够量化序列、结构和结合能之间的关系。这种方法可能代表了研究其他同源蛋白质-蛋白质相互作用位点的一般方法。