Center for In Silico Protein Science and School of Computational Sciences, Korea Institute for Advanced Study , Seoul 02455, Korea.
J Chem Theory Comput. 2017 Oct 10;13(10):5146-5162. doi: 10.1021/acs.jctc.7b00470. Epub 2017 Sep 14.
Improving the quality of a given protein structure can serve as the ultimate solution for accurate protein structure prediction, and seeking such a method is currently a challenge in computational structural biology. In order to promote and encourage much needed such efforts, CASP (Critical Assessment of Structure Prediction) has been providing an ideal computational experimental platform, where it was reported only recently (since CASP10) that systematic protein structure refinement is possible by carrying out extensive (approximately millisecond) MD simulations with proper restraints generated from the given structure. Using an explicit solvent model and much reduced positional and distance restraints than previously exercised, we propose a refinement protocol that combines a series of short (5 ns) MD simulations with energy minimization procedures. Testing and benchmarking on 54 CASP8-10 refinement targets and 34 CASP11 refinement targets shows quite promising results. Using only a small fraction of MD simulation steps (nanosecond versus millisecond), systematic protein structure refinement was demonstrated in this work, indicating that refinement of a given model can be achieved using a few hours of desktop computing.
提高给定蛋白质结构的质量可以作为准确蛋白质结构预测的最终解决方案,而寻找这样的方法是计算结构生物学领域的一项挑战。为了促进和鼓励非常需要的此类努力,CASP(蛋白质结构预测关键评估)一直在提供一个理想的计算实验平台,最近(自 CASP10 以来)有报道称,可以通过对给定结构进行广泛的(约毫秒级)MD 模拟,并使用从给定结构生成的适当约束来实现系统的蛋白质结构细化。使用显式溶剂模型和比以前练习的位置和距离约束少得多,我们提出了一种结合一系列短(5 ns)MD 模拟和能量最小化过程的细化方案。对 54 个 CASP8-10 细化目标和 34 个 CASP11 细化目标的测试和基准测试显示出相当有前途的结果。在这项工作中,仅使用 MD 模拟步骤的一小部分(纳秒对毫秒),就实现了系统的蛋白质结构细化,这表明可以使用几个小时的桌面计算来实现给定模型的细化。