Department of Life Science Engineering, HTW Berlin, Berlin, Germany.
Department of Mathematics, Texas A&M University, College Station Texas, Texas.
Biophys J. 2018 Feb 6;114(3):507-515. doi: 10.1016/j.bpj.2017.11.3787.
Posttranslational modification of proteins is important for signal transduction, and hence significant effort has gone toward understanding how posttranslational modification networks process information. This involves, on the theory side, analyzing the dynamical systems arising from such networks. Which networks are, for instance, bistable? Which networks admit sustained oscillations? Which parameter values enable such behaviors? In this Biophysical Perspective, we highlight recent progress in this area and point out some important future directions. Along the way, we summarize several techniques for analyzing general networks, such as eliminating variables to obtain steady-state parameterizations, and harnessing results on how incorporating intermediates affects dynamics.
蛋白质的翻译后修饰对于信号转导至关重要，因此人们付出了巨大努力来理解翻译后修饰网络是如何处理信息的。从理论角度来看，这涉及分析由此类网络产生的动态系统。例如，哪些网络是双稳态的？哪些网络允许持续振荡？哪些参数值能实现这些行为？在这篇《生物物理展望》中，我们重点介绍了该领域的最新进展，并指出了一些重要的未来方向。在此过程中，我们总结了几种分析一般网络的技术，比如消除变量以获得稳态参数化，以及利用关于纳入中间体如何影响动力学的结果。
