论文标题

特定结合的一般理论:来自遗传机制 - 化学蛋白模型的见解

General theory of specific binding: insights from a genetic-mechano-chemical protein model

论文作者

McBride, John M, Eckmann, Jean-Pierre, Tlusty, Tsvi

论文摘要

蛋白质需要在细胞中许多相似分子之间选择性地与特定靶标相互作用。但是,尽管对绑定相互作用有坚定的身体理解,但我们缺乏关于蛋白质如何发展高特异性的一般理论。在这里,我们提出了结合化学,力学和遗传学的模型,并解释了它们的相互作用如何控制特定蛋白质 - 配体相互作用的演变。该模型表明,通过不同程度的柔韧性和形状/化学互补性,有许多实现分子歧视的途径 - 但关键成分是精度。较难的歧视任务需要更多的集体和精确的结构,力和运动的共同。蛋白质可以通过远离结合位点的相关突变来实现这一目标,该突变可以微调与配体的局部相互作用。因此,通过增加蛋白质大小来实现更复杂的任务的解决方案,当蛋白质比歧视所需的最低最小值时,蛋白质变得更加可变化和健壮。该模型对灵活性和形状不匹配在歧视中的作用以及进化如何独立调节亲和力和特异性的作用进行了可测试的具体预测。因此,提出的特定结合理论解决了“蛋白质为什么这么大?”的自然问题。一个可能的答案是,通过向蛋白质添加更多层来,分子歧视通常是一项艰巨的任务。

Proteins need to selectively interact with specific targets among a multitude of similar molecules in the cell. But despite a firm physical understanding of binding interactions, we lack a general theory of how proteins evolve high specificity. Here, we present such a model that combines chemistry, mechanics and genetics, and explains how their interplay governs the evolution of specific protein-ligand interactions. The model shows that there are many routes to achieving molecular discrimination - by varying degrees of flexibility and shape/chemistry complementarity - but the key ingredient is precision. Harder discrimination tasks require more collective and precise coaction of structure, forces and movements. Proteins can achieve this through correlated mutations extending far from a binding site, which fine-tune the localized interaction with the ligand. Thus, the solution of more complicated tasks is enabled by increasing the protein size, and proteins become more evolvable and robust when they are larger than the bare minimum required for discrimination. The model makes testable, specific predictions about the role of flexibility and shape mismatch in discrimination, and how evolution can independently tune affinity and specificity. Thus, the proposed theory of specific binding addresses the natural question of "why are proteins so big?". A possible answer is that molecular discrimination is often a hard task best performed by adding more layers to the protein.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源