Antal Miklós A, Böde Csaba, Csermely Peter
Department of Medical Chemistry, Semmelweis University, H-1444 Budapest, P.O. Box 260, Hungary.
Curr Protein Pept Sci. 2009 Apr;10(2):161-72. doi: 10.2174/138920309787847617.
The network paradigm is increasingly used to describe the dynamics of complex systems. Here we review the current results and propose future development areas in the assessment of perturbation waves, i.e. propagating structural changes in amino acid networks building individual protein molecules and in protein-protein interaction networks (interactomes). We assess the possibilities and critically review the initial attempts for the application of game theory to the often rather complicated process, when two protein molecules approach each other, mutually adjust their conformations via multiple communication steps and finally, bind to each other. We also summarize available data on the application of percolation theory for the prediction of amino acid network- and interactome-dynamics. Furthermore, we give an overview of the dissection of signals and noise in the cellular context of various perturbations. Finally, we propose possible applications of the reviewed methodologies in drug design.
网络范式越来越多地用于描述复杂系统的动态。在此,我们回顾当前的研究成果,并提出在评估扰动波方面未来的发展领域,即单个蛋白质分子的氨基酸网络以及蛋白质 - 蛋白质相互作用网络(互作组)中传播的结构变化。我们评估了将博弈论应用于这一通常相当复杂过程的可能性,并批判性地审视了最初的尝试,该过程是当两个蛋白质分子相互靠近,通过多个通信步骤相互调整其构象,最终相互结合。我们还总结了渗流理论在预测氨基酸网络和互作组动态方面的现有应用数据。此外,我们概述了在各种扰动的细胞环境中信号与噪声的剖析。最后,我们提出了所综述方法在药物设计中的可能应用。