Kwiatkowska Marta Z, Heath John K
Oxford University Computing Laboratory, Oxford, UK.
J Cell Sci. 2009 Aug 15;122(Pt 16):2793-800. doi: 10.1242/jcs.039701.
Time and cost are the enemies of cell biology. The number of experiments required to rigorously dissect and comprehend a pathway of even modest complexity is daunting. Methods are needed to formulate biological pathways in a machine-analysable fashion, which would automate the process of considering all possible experiments in a complex pathway and identify those that command attention. In this Essay, we describe a method that is based on the exploitation of computational tools that were originally developed to analyse reactive communicating computer systems such as mobile phones and web browsers. In this approach, the biological process is articulated as an executable computer program that can be interrogated using methods that were developed to analyse complex software systems. Using case studies of the FGF, MAPK and Delta/Notch pathways, we show that the application of this technology can yield interesting insights into the behaviour of signalling pathways, which have subsequently been corroborated by experimental data.
时间和成本是细胞生物学的大敌。要严谨地剖析和理解一条哪怕复杂度适中的信号通路,所需的实验数量都令人望而生畏。需要一些方法来以机器可分析的方式构建生物信号通路,这将使考虑复杂信号通路中所有可能实验并识别那些值得关注的实验的过程自动化。在本文中,我们描述了一种基于利用最初开发用于分析诸如手机和网页浏览器等反应式通信计算机系统的计算工具的方法。在这种方法中,生物过程被表述为一个可执行的计算机程序,该程序可以使用为分析复杂软件系统而开发的方法进行查询。通过成纤维细胞生长因子(FGF)、丝裂原活化蛋白激酶(MAPK)和Delta/Notch信号通路的案例研究,我们表明这项技术的应用能够对信号通路的行为产生有趣的见解,随后这些见解得到了实验数据的证实。