Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes , Sáenz Peña 352, B1876BXD Bernal, Argentina.
J Chem Inf Model. 2017 Apr 24;57(4):826-834. doi: 10.1021/acs.jcim.6b00646. Epub 2017 Mar 29.
Principal component analysis is a technique widely used for studying the movements of proteins using data collected from molecular dynamics simulations. In spite of its extensive use, the technique has a serious drawback: equivalent simulations do not afford the same PC-modes. In this article, we show that concatenating equivalent trajectories and calculating the PC-modes from the concatenated one significantly enhances the reproducibility of the results. Moreover, the consistency of the modes can be systematically improved by adding more individual trajectories to the concatenated one.
主成分分析是一种广泛用于研究蛋白质运动的技术,该技术使用从分子动力学模拟中收集的数据。尽管该技术应用广泛,但它存在一个严重的缺陷:等效模拟并不能产生相同的主成分模式。在本文中,我们表明,将等效轨迹连接起来,并从连接的轨迹中计算主成分模式,可以显著提高结果的可重复性。此外,通过向连接的轨迹中添加更多的个体轨迹,可以系统地提高模式的一致性。