Hütt Marc-Thorsten
School of Engineering and Science, Jacobs University Bremen, Campus Ring 1, D-28759, Bremen, Germany.
Br J Clin Pharmacol. 2014 Apr;77(4):597-605. doi: 10.1111/bcp.12266.
Pharmacology is currently transformed by the vast amounts of genome-associated information available for system-level interpretation. Here I review the potential of systems biology to facilitate this interpretation, thus paving the way for the emerging field of systems pharmacology. In particular, I will show how gene regulatory and metabolic networks can serve as a framework for interpreting high throughput data and as an interface to detailed dynamical models. In addition to the established connectivity analyses of effective networks, I suggest here to also analyze higher order architectural properties of effective networks.
药理学目前正因可用于系统层面解读的大量基因组相关信息而发生变革。在此，我回顾系统生物学在促进这种解读方面的潜力，从而为新兴的系统药理学领域铺平道路。特别地，我将展示基因调控网络和代谢网络如何能够作为解读高通量数据的框架以及通向详细动力学模型的接口。除了已有的有效网络连通性分析之外，我在此建议还要分析有效网络的高阶结构特性。
