Lu Diannan, Liu Zheng
Department of Chemical Engineering, Tsinghua University, Beijing 100084, China.
J Phys Chem B. 2008 Mar 6;112(9):2686-93. doi: 10.1021/jp076940o. Epub 2008 Feb 12.
This paper presents a Langevin dynamics simulation that suggests a novel way to fold protein at high concentration, a fundamental issue in neurodegenerative diseases in vivo and the production of recombinant proteins in vitro. The simulation indicates that the folding of a coarse-grained beta-barrel protein at high concentration follows the "collapse-rearrangement" mechanism but it yields products of various forms, including single proteins in the native, misfolded, and uncollapsed forms and protein aggregates. Misfolded and uncollapased proteins are the "nucleus" of the aggregates that also encapsulate some correctly folded proteins (native proteins). An optimum hydrophobic interaction strength (epsilon*(p)) between the hydrophobic beads of the model protein, which results from a compromise between the kinetics of collapse and rearrangement, is identified for use in increasing the rate of folding over aggregating. Increased protein concentration hinders the structural transitions in both collapse and rearrangement and thus favors aggregation. A new method for protein folding at high concentration is proposed, which uses an oscillatory molecular driving force (epsilon*(p)) to promote the dissociation of aggregates in the low epsilon*(p) regime while promoting folding at a high epsilon*(p). The advantage of this method in enhancing protein folding while depressing aggregation is illustrated by a comparison with the methods based on direct dilution or applying a denaturant gradient.
本文介绍了一种朗之万动力学模拟,该模拟提出了一种在高浓度下折叠蛋白质的新方法,这是体内神经退行性疾病和体外重组蛋白质生产中的一个基本问题。模拟表明,高浓度下粗粒度β桶状蛋白质的折叠遵循“塌缩-重排”机制,但会产生各种形式的产物,包括天然、错误折叠和未塌缩形式的单个蛋白质以及蛋白质聚集体。错误折叠和未塌缩的蛋白质是聚集体的“核心”,聚集体还包裹了一些正确折叠的蛋白质(天然蛋白质)。确定了模型蛋白质疏水珠子之间的最佳疏水相互作用强度(ε*(p)),它是塌缩和重排动力学之间折衷的结果,用于提高折叠速率而非聚集速率。蛋白质浓度增加会阻碍塌缩和重排过程中的结构转变,因此有利于聚集。提出了一种在高浓度下折叠蛋白质的新方法,该方法使用振荡分子驱动力(ε*(p))在低ε*(p)状态下促进聚集体的解离,同时在高ε*(p)状态下促进折叠。通过与基于直接稀释或应用变性剂梯度的方法进行比较,说明了该方法在增强蛋白质折叠同时抑制聚集方面的优势。