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A Simple and Efficient Protein Structure Refinement Method

机译:一种简单高效的蛋白质结构细化方法

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摘要

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.
机译:提高给定蛋白质结构的质量可以用作精确蛋白质结构预测的最终解决方案,并且寻求这种方法目前是计算结构生物学中的挑战。为了促进和鼓励许多需要这种努力,CASP(结构预测的批判性评估)一直提供理想的计算实验平台,其中仅报告了最近(自CASP10)通过进行广泛的系统蛋白质结构改进(大约毫秒)MD模拟,具有从给定结构产生的适当约束。我们使用明确的溶剂模型和比以前行使的距离限制大得多,我们提出了一种细化协议,该协议将一系列短(5 ns)MD模拟与能量最小化程序相结合。 54 Casp8-10细化目标的测试和基准测试和34家CASP11细化目标显示出相当有前途的结果。在这项工作中,仅使用了一小部分MD模拟步骤(纳秒与毫秒),系统蛋白质结构细化,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。

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