Department of Chemistry , Georgia State University , Atlanta , Georgia 30302-3965 , United States.
J Chem Inf Model. 2018 Jul 23;58(7):1325-1330. doi: 10.1021/acs.jcim.8b00250. Epub 2018 Jul 11.
A difference contact network analysis (dCNA) method is developed for delineating allosteric mechanisms in proteins. The new method addresses limitations of conventional network analysis methods and is particularly suitable for allosteric systems undergoing large-amplitude conformational changes during function. Tests show that dCNA works well for proteins of varying sizes and functions. The design of dCNA is general enough to facilitate analyses of diverse dynamic data generated by molecular dynamics, crystallography, or nuclear magnetic resonance.
一种差异接触网络分析(dCNA)方法被开发用于描绘蛋白质中的变构机制。新方法解决了传统网络分析方法的局限性,特别适用于在功能过程中经历大振幅构象变化的变构系统。测试表明,dCNA 适用于不同大小和功能的蛋白质。dCNA 的设计足够通用,可以方便地分析由分子动力学、晶体学或核磁共振产生的各种动态数据。