Department of Pharmaceutical Sciences, Western University of Health Sciences, Pomona, CA, USA.
Methods Mol Biol. 2021;2302:311-334. doi: 10.1007/978-1-0716-1394-8_17.
Over the past decade, concepts of network theory in combination with dynamical information from conformational ensembles have been widely applied to gain insights in understanding allosteric regulation in biomolecules. In this chapter, we introduce the basic theories and protocols used in protein dynamics network analysis through a series of interactive python Jupyter notebook scripts. While various network analysis methods exist in the literature, here we focus on the two popular methods based on correlated atomic motions and pairwise interaction energies. While the tutorial is based on a small prototypic protein, the workflow and protocol introduced here are optimized to handle large membrane proteins.
在过去的十年中,网络理论概念与构象集合中的动态信息相结合,已被广泛应用于理解生物分子变构调节。在本章中,我们通过一系列交互式 Python Jupyter 笔记本脚本介绍蛋白质动力学网络分析中使用的基本理论和协议。虽然文献中存在各种网络分析方法,但我们在这里重点介绍基于相关原子运动和成对相互作用能的两种流行方法。虽然本教程基于一个小型原型蛋白,但此处介绍的工作流程和协议已针对处理大型膜蛋白进行了优化。