Department of Chemistry, Stanford University, Stanford, California 94305, USA.
J Chem Phys. 2013 Sep 28;139(12):121917. doi: 10.1063/1.4816633.
The protein folding problem has long represented a "holy grail" in statistical physics due to its physical complexity and its relevance to many human diseases. While past theoretical work has yielded apt descriptions of protein folding landscapes, recent large-scale simulations have provided insights into protein folding that were impractical to obtain from early theories. In particular, the role that non-native contacts play in protein folding, and their relation to the existence of misfolded, β-sheet rich trap states on folding landscapes, has emerged as a topic of interest in the field. In this paper, we present a modified model of heteropolymer freezing that includes explicit secondary structural characteristics which allow observations of "intramolecular amyloid" states to be probed from a theoretical perspective. We introduce a variable persistence length-based energy penalty to a model Hamiltonian, and we illustrate how this modification alters the phase transitions present in the theory. We find, in particular, that inclusion of this variable persistence length increases both generic freezing and folding temperatures in the model, allowing both folding and glass transitions to occur in a more highly optimized fashion. We go on to discuss how these changes might relate to protein evolution, misfolding, and the emergence of intramolecular amyloid states.
蛋白质折叠问题长期以来一直是统计物理学中的“圣杯”,因为它具有物理复杂性,并且与许多人类疾病有关。虽然过去的理论工作已经对蛋白质折叠景观进行了恰当的描述,但最近的大规模模拟为蛋白质折叠提供了一些见解,这些见解是早期理论难以获得的。特别是,非天然接触在蛋白质折叠中的作用,以及它们与折叠景观上存在错误折叠的富含β-折叠的陷阱状态之间的关系,已成为该领域的一个研究热点。在本文中,我们提出了一个改进的杂多聚物冻结模型,该模型包含了明确的二级结构特征,允许从理论角度探测“分子内淀粉样”状态。我们在模型哈密顿量中引入了一个基于可变持久长度的能量罚分,并说明了这种修改如何改变理论中的相变。我们特别发现,包含这种可变持久长度会增加模型中的通用冻结和折叠温度,从而使折叠和玻璃化转变以更优化的方式发生。我们接着讨论了这些变化如何与蛋白质进化、错误折叠和分子内淀粉样状态的出现相关。