Li Jing, Hilser Vincent J
T.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, MD, United States.
T.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, MD, United States; Department of Biology, Johns Hopkins University, Baltimore, MD, United States.
Methods Enzymol. 2018;611:531-557. doi: 10.1016/bs.mie.2018.09.004. Epub 2018 Oct 24.
Intrinsically disordered (ID) proteins have been shown to play a major role in signaling in a broad range of proteins, using a process known as allostery, wherein the protein can integrate one or a number of inputs to regulate its function. The disorder-mediated allostery can be understood energetically with ensemble allosteric model (EAM). In this model, the molecule without effectors is considered as an ensemble of preexisting conformations, and effector binding is treated as an energetic perturbation of the ensemble to redistribute the microstates that are favorable or unfavorable to the second binding partner. As it only considers the intrinsic energetics of the system and does not depend on a crystallographic structure, it can be applied to both structured proteins, ID proteins, and mixed proteins with both structured and ID domains. Simulation with EAM on the basis of experimental data can help quantitatively explain experimental observations, as well as to make predictions to direct future research. This has recently been illustrated with the case of human glucocorticoid receptor, a multidomain transcription factor that contains both structured and disordered regions. In this chapter, we describe the assays for measuring the transcriptional activity, binding affinity to cognate DNA, conformational stability, either on single domain or tandem coupled domains in the GR two-domain isoforms. We then explain how these data are utilized as input parameters or constraints in the EAM for quantitative estimates of stabilities and coupling energies for each domain through global minimization method.
内在无序(ID)蛋白已被证明在广泛的蛋白质信号传导中发挥主要作用,其过程称为变构,即蛋白质可以整合一个或多个输入来调节其功能。无序介导的变构可以通过整体变构模型(EAM)从能量角度来理解。在这个模型中,没有效应物的分子被视为预先存在的构象的集合,效应物结合被视为对该集合的能量扰动,以重新分布对第二个结合伙伴有利或不利的微观状态。由于它只考虑系统的内在能量学,不依赖于晶体结构,因此它可以应用于结构化蛋白质、ID蛋白以及具有结构化和ID结构域的混合蛋白。基于实验数据用EAM进行模拟有助于定量解释实验观察结果,并做出预测以指导未来的研究。最近人类糖皮质激素受体的例子就说明了这一点,它是一种包含结构化和无序区域的多结构域转录因子。在本章中,我们描述了用于测量GR双结构域异构体中单个结构域或串联耦合结构域的转录活性、与同源DNA的结合亲和力、构象稳定性的测定方法。然后我们解释如何将这些数据用作EAM中的输入参数或约束条件,通过全局最小化方法对每个结构域的稳定性和耦合能进行定量估计。