Modelling in molecular biology: describing transcription regulatory networks at different scales
Modelling in molecular biology: describing transcription regulatory networks at different scales
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DOI：
10.1098/rstb.2005.1806
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发表时间：
2006-03-29
影响因子：
6.3
通讯作者：
Brazma, A
中科院分区：
文献类型：
--
作者：
Schlitt, T;Brazma, A
描述基因调控网络的方法可以通过增加细节来分类，如网络部件列表、网络拓扑模型、网络控制逻辑模型或动态模型。我们讨论了每种方法的当前技术水平。我们研究不同拓扑模型之间的关系，并举例说明如何使用它们来推断未知功能基因的功能注释。我们引入了一种描述动态模型的新简单方法，称为有限状态线性模型（FSLM）。我们一方面讨论零件列表和拓扑模型之间的差距，另一方面讨论网络逻辑和动态模型之间的差距。前两类模型已达到全基因组规模，而对于其他模型类，高通量技术尚未产生重大影响。
Approaches to describe gene regulation networks can be categorized by increasing detail, as network parts lists, network topology models, network control logic models or dynamic models. We discuss the current state of the art for each of these approaches. We study the relationship between different topology models, and give examples how they can be used to infer functional annotations for genes of unknown function. We introduce a new simple way of describing dynamic models called finite state linear model (FSLM). We discuss the gap between the parts list and topology models on one hand, and network logic and dynamic models, on the other hand. The first two classes of models have reached a genome-wide scale, while for the other model classes high-throughput technologies are yet to make a major impact.