Hu Guang, Di Paola Luisa, Liang Zhongjie, Giuliani Alessandro
Center for Systems Biology, School of Electronic and Information Engineering, Soochow University, Suzhou 215006, China.
Unit of Chemical-Physics Fundamentals in Chemical Engineering, Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Biomed Res Int. 2017;2017:2483264. doi: 10.1155/2017/2483264. Epub 2017 Jan 22.
The overall topology and interfacial interactions play key roles in understanding structural and functional principles of protein complexes. Elastic Network Model (ENM) and Protein Contact Network (PCN) are two widely used methods for high throughput investigation of structures and interactions within protein complexes. In this work, the comparative analysis of ENM and PCN relative to hemoglobin (Hb) was taken as case study. We examine four types of structural and dynamical paradigms, namely, conformational change between different states of Hbs, modular analysis, allosteric mechanisms studies, and interface characterization of an Hb. The comparative study shows that ENM has an advantage in studying dynamical properties and protein-protein interfaces, while PCN is better for describing protein structures quantitatively both from local and from global levels. We suggest that the integration of ENM and PCN would give a potential but powerful tool in structural systems biology.
整体拓扑结构和界面相互作用在理解蛋白质复合物的结构和功能原理中起着关键作用。弹性网络模型(ENM)和蛋白质接触网络(PCN)是用于高通量研究蛋白质复合物内部结构和相互作用的两种广泛使用的方法。在这项工作中,以ENM和PCN相对于血红蛋白(Hb)的比较分析作为案例研究。我们研究了四种类型的结构和动力学范式,即不同状态的血红蛋白之间的构象变化、模块分析、变构机制研究以及血红蛋白的界面表征。比较研究表明,ENM在研究动力学性质和蛋白质-蛋白质界面方面具有优势,而PCN在从局部和全局水平定量描述蛋白质结构方面表现更佳。我们认为,ENM和PCN的整合将为结构系统生物学提供一个潜在但强大的工具。