Schaber J, Liebermeister W, Klipp E
Humboldt University Berlin, Institute for Biology, Theoretical Biophysics, Berlin, Germany.
IET Syst Biol. 2009 Jan;3(1):1-9. doi: 10.1049/iet-syb:20070042.
Dynamic modelling of biochemical reaction networks has to cope with the inherent uncertainty about biological processes, concerning not only data and parameters but also kinetics and structure. These different types of uncertainty are nested within each other: uncertain network structures contain uncertain reaction kinetics, which in turn are governed by uncertain parameters. Here, the authors review some issues arising from such uncertainties and sketch methods, solutions and future directions to deal with them.
生化反应网络的动态建模必须应对生物过程中固有的不确定性,这不仅涉及数据和参数,还包括动力学和结构。这些不同类型的不确定性相互嵌套:不确定的网络结构包含不确定的反应动力学,而反应动力学又由不确定的参数所支配。在此,作者回顾了由这些不确定性引发的一些问题,并概述了处理它们的方法、解决方案及未来方向。