Gokhale Sucheta, Nyayanit Dimpal, Gadgil Chetan
Chemical Engineering Division, CSIR-National Chemical Laboratory, Pune, 411008 India.
Syst Synth Biol. 2011 Dec;5(3-4):139-50. doi: 10.1007/s11693-011-9088-1. Epub 2011 Oct 19.
Many biological processes are regulated by changing the concentration and activity of proteins. The presence of a protein at a given subcellular location at a given time with a certain conformation is the result of an apparently sequential process. The rate of protein formation is influenced by chromatin state, and the rates of transcription, translation, and degradation. There is an exquisite control system where each stage of the process is controlled both by seemingly unregulated proteins as well as through feedbacks mediated by RNA and protein products. Here we review the biological facts and mathematical models for each stage of the protein production process. We conclude that advances in experimental techniques leading to a detailed description of the process have not been matched by mathematical models that represent the details of the process and facilitate analysis. Such an exercise is the first step towards development of a framework for a systems biology analysis of the protein production process.
The online version of this article (doi:10.1007/s11693-011-9088-1) contains supplementary material, which is available to authorized users.
许多生物学过程是通过改变蛋白质的浓度和活性来调节的。在特定时间，具有特定构象的蛋白质出现在给定的亚细胞位置，这显然是一个连续过程的结果。蛋白质的形成速率受染色质状态、转录、翻译和降解速率的影响。存在一个精密的控制系统，该过程的每个阶段既受看似无调控的蛋白质控制，也受RNA和蛋白质产物介导的反馈控制。在此，我们综述了蛋白质产生过程各阶段的生物学事实和数学模型。我们得出结论，导致对该过程进行详细描述的实验技术进展，并未得到能够体现该过程细节并便于分析的数学模型的匹配。这样的工作是朝着建立蛋白质产生过程系统生物学分析框架迈出的第一步。
本文的在线版本（doi:10.1007/s11693-011-9088-1）包含补充材料，授权用户可获取。
