Kaern Mads, Blake William J, Collins J J
Center for BioDynamics, Department of Biomedical Engineering, and Bioinformatics Program, Boston University, Boston, Massachusetts 02215, USA.
Annu Rev Biomed Eng. 2003;5:179-206. doi: 10.1146/annurev.bioeng.5.040202.121553.
The rapid accumulation of genetic information and advancement of experimental techniques have opened a new frontier in biomedical engineering. With the availability of well-characterized components from natural gene networks, the stage has been set for the engineering of artificial gene regulatory networks with sophisticated computational and functional capabilities. In these efforts, the ability to construct, analyze, and interpret qualitative and quantitative models is becoming increasingly important. In this review, we consider the current state of gene network engineering from a combined experimental and modeling perspective. We discuss how networks with increased complexity are being constructed from simple modular components and how quantitative deterministic and stochastic modeling of these modules may provide the foundation for accurate in silico representations of gene regulatory network function in vivo.
遗传信息的迅速积累和实验技术的进步为生物医学工程开辟了新的前沿领域。随着来自天然基因网络的特征明确的组件的可得性，构建具有复杂计算和功能能力的人工基因调控网络的阶段已经就绪。在这些努力中，构建、分析和解释定性和定量模型的能力变得越来越重要。在这篇综述中，我们从实验和建模相结合的角度考虑基因网络工程的当前状态。我们讨论了如何从简单的模块化组件构建复杂性增加的网络，以及这些模块的定量确定性和随机建模如何为体内基因调控网络功能的准确计算机模拟提供基础。
