Department of Computer Sciences and Mathematics, Ariel University Center of Samaria, Ariel 40700, Israel.
Proteins. 2012 Apr;80(4):1167-76. doi: 10.1002/prot.24017. Epub 2012 Feb 10.
A novel methodology for comparison of protein dynamics is presented. Protein dynamics is calculated using the Gaussian network model and the modes of motion are globally aligned using the dynamic programming algorithm of Needleman and Wunsch, commonly used for sequence alignment. The alignment is fast and can be used to analyze large sets of proteins. The methodology is applied to the four major classes of the SCOP database: "all alpha proteins," "all beta proteins," "alpha and beta proteins," and "alpha/beta proteins". We show that different domains may have similar global dynamics. In addition, we report that the dynamics of "all alpha proteins" domains are less specific to structural variations within a given fold or superfamily compared with the other classes. We report that domain pairs with the most similar and the least similar global dynamics tend to be of similar length. The significance of the methodology is that it suggests a new and efficient way of mapping between the global structural features of protein families/subfamilies and their encoded dynamics.
提出了一种用于比较蛋白质动力学的新方法。使用高斯网络模型计算蛋白质动力学,并使用 Needleman 和 Wunsch 的动态规划算法对运动模式进行全局对齐,该算法通常用于序列比对。该对齐方法速度快,可用于分析大量蛋白质。该方法应用于 SCOP 数据库的四个主要类别:“所有α 蛋白”、“所有β 蛋白”、“α 和β 蛋白”和“α/β 蛋白”。我们表明,不同的结构域可能具有相似的整体动力学。此外,我们报告说,与其他类别相比,“所有α 蛋白”结构域的动力学对给定折叠或超家族内的结构变化的特异性较低。我们报告说,具有最相似和最不相似整体动力学的结构域对往往具有相似的长度。该方法的意义在于,它为蛋白质家族/亚家族的全局结构特征与其编码动力学之间提供了一种新的、有效的映射方法。