基因调控网络－数学模型与仿真.ppt

基因调控网络：－数学模型与仿真 马宏宾 系统所 2003.10.30 纲要 必要的说明 问题与背景 模型与仿真 总结与展望 参考文献 必要的说明 我完全不懂生物学； 我为什么要讲这个？ 我讲的侧重点在哪？ 问题与背景 什么是基因调控网络？ 细胞、DNA、蛋白质、基因、基因网络 为什么要研究基因调控网络？ 从分子水平认识细胞组织的功能。 基因调控网络与复杂性 了解基因调控网络，对我们有什么启发？ 问题与背景 基因和蛋白质 Genes code for proteins that are essential for development and functioning of organism: gene expression 问题与背景 基因表达的调控：〔不同层次〕 Gene expression controlled by proteins produced by other genes: regulatory interactions 问题与背景 基因调控网络： Genetic regulatory network consists of set of genes, proteins, small molecules, and their mutual regulatory interactions。 Development and functioning of organisms cell emerges from interactions in genetic regulatory networks。 问题与背景 例子： 问题与背景 基因调控网络的复杂性 Large networks Complex cells has many components that can interact in complex ways. Dynamics processes are hard to understand by intuitive approaches alone. Genetic regulatory networks have complicated interactions far beyond correlation of gene expression patterns. Clustering cannot reveal causal connections between genes. 为什么需要数学建模与仿真？ precise and unambiguous description of network of interactions systematical derivation of behavioral predictions 问题与背景 目标－－我们想知道： Which genes are expressed?When and where in the organisms?To which extent? Are there any universal laws? Can we predict the evolution of the network? How to predict the evolution of the network? 问题与背景 途径－－实验、建模、仿真： 模型：有向图 模型：有向图 模型：Baysian network 模型：Baysian network 模型：Boolean network 模型：Boolean network 模型：Boolean network Truth tables State-transition diagram 模型：Generalized logical network 模型：Nonlinear ODE 模型：Nonlinear ODE Negative feedback Gene encodes a protein inhibiting its own expression important for homeostasis, maintenance of system near a desired state Steady state analysis Transient behavior simulation 模型：Nonlinear ODE Positive feedback Gene encodes a protein activating its own expression. import