Stochastic and spatial effects in biochemical modeling: theory and applications

生化建模中的随机和空间效应：理论与应用

• 批准号: 183619-2008
• 负责人: Roussel, Marc
• 金额: $ 3.06万
• 依托单位: University of Lethbridge
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=513929
• 关键词: Stochastic; spatial; effects; biochemical; modeling

I propose to develop a set of tools for systems biology based on techniques deriving from theoretical chemistry. Metabolic control analysis (MCA) is a successful theory for analyzing the response of a biochemical system to small changes in (e.g.) concentrations of key proteins. The current theory is based on equations which are only strictly valid when large numbers of molecules are involved. This is not the case for many important processes in living cells. I propose to develop a version of MCA which is valid in systems with few copies of some molecules. This will be useful to understand genetic regulation since genes are only present in two copies in our cells.

我建议基于源自理论化学的技术开发一套系统生物学工具。代谢控制分析（MCA）是一种成功的理论，用于分析生化系统对（例如）关键蛋白质的浓度。目前的理论是建立在方程的基础上的，这些方程只有在涉及大量分子时才严格有效。但活细胞中的许多重要过程并非如此。我建议开发一个版本的MCA，这是有效的系统中的一些分子的几个副本。这将有助于理解基因调控，因为基因在我们的细胞中只存在两个拷贝。