Gaudreault Mathieu, Viñals Jorge
Department of Physics, McGill University, Montreal, Quebec, Canada H3A 2T8.
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Aug;80(2 Pt 1):021916. doi: 10.1103/PhysRevE.80.021916. Epub 2009 Aug 17.
In order to study solvation effects on protein folding, we analyze the collapse transition of a self-avoiding random walk composed of hydrophobic segments that is embedded in a lattice model of a solvent. As expected, hydrophobic interactions lead to an attractive potential of mean force among chain segments. As a consequence, the random walk in solvent undergoes a collapse transition at a higher temperature than in its absence. Chain collapse is accompanied by the formation of a region depleted of solvent around the chain. In our simulation, the depleted region at collapse is as large as our computational domain.
为了研究溶剂化对蛋白质折叠的影响,我们分析了嵌入溶剂晶格模型中的由疏水链段组成的自回避随机游走的塌缩转变。正如预期的那样,疏水相互作用导致链段之间产生平均力吸引势。因此,溶剂中的随机游走在比无溶剂时更高的温度下发生塌缩转变。链的塌缩伴随着链周围形成一个溶剂耗尽区域。在我们的模拟中,塌缩时的耗尽区域与我们的计算域一样大。