Rojnuckarin A, Kim S, Subramaniam S
Department of Chemical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Proc Natl Acad Sci U S A. 1998 Apr 14;95(8):4288-92. doi: 10.1073/pnas.95.8.4288.
Protein folding occurs on a time scale ranging from milliseconds to minutes for a majority of proteins. Computer simulation of protein folding, from a random configuration to the native structure, is nontrivial owing to the large disparity between the simulation and folding time scales. As an effort to overcome this limitation, simple models with idealized protein subdomains, e.g., the diffusion-collision model of Karplus and Weaver, have gained some popularity. We present here new results for the folding of a four-helix bundle within the framework of the diffusion-collision model. Even with such simplifying assumptions, a direct application of standard Brownian dynamics methods would consume 10,000 processor-years on current supercomputers. We circumvent this difficulty by invoking a special Brownian dynamics simulation. The method features the calculation of the mean passage time of an event from the flux overpopulation method and the sampling of events that lead to productive collisions even if their probability is extremely small (because of large free-energy barriers that separate them from the higher probability events). Using these developments, we demonstrate that a coarse-grained model of the four-helix bundle can be simulated in several days on current supercomputers. Furthermore, such simulations yield folding times that are in the range of time scales observed in experiments.
对于大多数蛋白质而言,蛋白质折叠发生的时间尺度从毫秒到分钟不等。从随机构象到天然结构的蛋白质折叠计算机模拟并非易事,因为模拟时间尺度和折叠时间尺度之间存在巨大差异。为了克服这一限制,具有理想化蛋白质亚结构域的简单模型,例如卡尔普斯和韦弗的扩散碰撞模型,受到了一定程度的欢迎。我们在此展示了在扩散碰撞模型框架内四螺旋束折叠的新结果。即便有这些简化假设,在当前超级计算机上直接应用标准布朗动力学方法仍将耗费10000个处理器年。我们通过调用一种特殊的布朗动力学模拟来规避这一难题。该方法的特点是通过通量过剩方法计算事件的平均通过时间,并对导致有效碰撞的事件进行采样,即便其概率极小(因为将它们与高概率事件分隔开的自由能垒很大)。利用这些进展,我们证明在当前超级计算机上,四螺旋束的粗粒度模型可以在数天内完成模拟。此外,这样的模拟产生的折叠时间处于实验观察到的时间尺度范围内。