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Coarse-Grained Computational Mechanics for Protein Dynamics

机译:蛋白质动态的粗粒计算力学

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Normal mode analysis (NMA) is an effective method for analyzing the dynamics of protein structures. Elastic network model (ENM) based NMA is widely adopted due to its simplicity and robustness. Despite the simplicity of ENM, still long computation time is needed for supra molecular protein structures. We extended ENM with coarse-graining methods such as condensation and component mode synthesis. In this research, we combine formerly introduced two methods in one process. By adopting these two methods it was possible to decrease computation time keeping the accuracy of predicting structural measures as similar as to ENM.
机译:正常模式分析(NMA)是分析蛋白质结构动态的有效方法。由于其简单和鲁棒性,基于弹性网络模型(eNM)的NMA被广泛采用。尽管eNM的简单性,但同上分子蛋白质结构需要长的计算时间。我们用粗晶的方法扩展了eNM,例如冷凝和组分模式合成。在这项研究中,我们将以前在一个过程中介绍了两种方法。通过采用这两种方法,可以减少计算时间,保持预测结构措施与eNM相似的准确性。

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