Akmal Arya, Muñoz Victor
Department of Chemistry and Biochemistry, and Center of Biomolecular Structure and Organization, University of Maryland, College Park, Maryland 20742, USA.
Proteins. 2004 Oct 1;57(1):142-52. doi: 10.1002/prot.20172.
We introduce a simple procedure to analyze the temperature dependence of the folding and unfolding rates of two-state proteins. We start from the simple transition-state-like rate expression: k = D(eff)exp(-DeltaG(TS)/RT), in which upper and lower bounds for the intra-chain effective diffusion coefficient (D(eff)) are obtained empirically using the timescales of elementary processes in protein folding. From the changes in DeltaG(TS) as a function of temperature, we calculate enthalpies and heat capacities of activation, together with the more elusive entropies of activation. We then estimate the conformational entropy of the transition state by extrapolation to the temperature at which the solvation entropy vanishes by cancellation between polar and apolar terms. This approach is based on the convergence temperatures for the entropy of solvating apolar (approximately 385 K) and polar groups (approximately 335 K), the assumption that the structural properties of the transition state are somewhere in between the unfolded and folded states, and the established relationship between observed heat capacity and solvent accessibility.1 To circumvent the lack of structural information about transition states, we use the empirically determined heat capacities of activation as constraints to identify the extreme values of the transition state conformational entropy that are consistent with experiment. The application of this simple approach to six two-state folding proteins for which there is temperature-dependent data available in the literature provides important clues about protein folding. For these six proteins, we obtain an average equilibrium cost in conformational entropy of -4.3 cal x mol(-1)K(-1)per residue, which is in close agreement to previous empirical and computational estimates of the same quantity. Furthermore, we find that all these proteins have a conformationally diverse transition state, with more than half of the conformational entropy of the unfolded state. In agreement with predictions from theory and computer simulations, the transition state signals the change from a regime dominated by loss in conformational entropy to one driven by the gain in stabilization free energy (i.e., including protein interactions and solvation effects). Moreover, the height of the barrier is determined by how much stabilization free energy is realized at that point, which is related to the relative contribution of local versus non-local interactions. A remarkable observation is that the fraction of conformational entropy per residue that is present in the transition state is very similar for the six proteins in this study. Based on this commonality, we propose that the observed change in thermodynamic regime is connected to a change in the pattern of structure formation: from one driven by formation of pairwise interactions to one dominated by coupling of the networks of interactions involved in forming the protein core. In this framework, the barrier to two-state folding is crossed when the folding protein reaches a "critical native density" that allows expulsion of remaining interstitial water and consolidation of the core. The principle of critical native density should be general for all two-state proteins, but can accommodate different folding mechanisms depending on the particularities of the structure and sequence.
我们介绍一种简单的方法来分析两态蛋白质折叠和去折叠速率的温度依赖性。我们从类似简单过渡态的速率表达式开始:k = D(eff)exp(-ΔG(TS)/RT),其中链内有效扩散系数(D(eff))的上下限是通过蛋白质折叠中基本过程的时间尺度凭经验获得的。根据ΔG(TS)随温度的变化,我们计算活化焓和活化热容,以及更难捉摸的活化熵。然后,通过外推到溶剂化熵因极性和非极性项相互抵消而消失的温度,我们估计过渡态的构象熵。这种方法基于非极性基团(约385 K)和极性基团(约335 K)溶剂化熵的收敛温度,假设过渡态的结构性质介于未折叠态和折叠态之间,以及观察到的热容与溶剂可及性之间已确立的关系。1为了规避关于过渡态缺乏结构信息的问题,我们使用凭经验确定的活化热容作为约束条件,以确定与实验一致的过渡态构象熵的极值。将这种简单方法应用于文献中有温度依赖性数据的六种两态折叠蛋白质,为蛋白质折叠提供了重要线索。对于这六种蛋白质,我们得到每个残基构象熵的平均平衡成本为-4.3 cal x mol(-1)K(-1),这与之前对同一量的经验和计算估计非常一致。此外,我们发现所有这些蛋白质都有一个构象多样的过渡态,具有超过一半未折叠态的构象熵。与理论和计算机模拟的预测一致,过渡态标志着从以构象熵损失为主导的状态到由稳定自由能增加驱动的状态的转变(即包括蛋白质相互作用和溶剂化效应)。此外,能垒的高度由该点实现的稳定自由能的多少决定,这与局部相互作用和非局部相互作用的相对贡献有关。一个显著的观察结果是,本研究中六种蛋白质在过渡态中每个残基的构象熵分数非常相似。基于这种共性,我们提出观察到的热力学状态变化与结构形成模式的变化有关:从由成对相互作用形成驱动的模式到由形成蛋白质核心所涉及的相互作用网络耦合主导的模式。在这个框架中,当折叠的蛋白质达到允许排出剩余间隙水并巩固核心的“临界天然密度”时,就跨越了两态折叠的能垒。临界天然密度原理对所有两态蛋白质应该是通用的,但可以根据结构和序列的特殊性容纳不同的折叠机制。