Bioinformatic approaches to metabolic pathways analysis.
Bioinformatic approaches to metabolic pathways analysis.
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代谢途径分析的生物信息学方法。
DOI：
10.1007/978-1-61779-160-4_5
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Park SS
中科院分区：
文献类型：
--
作者：
Maudsley S;Chadwick W;Wang L;Zhou Y;Martin B;Park SS
在过去的十年中，准确可靠的大规模数据收集技术的发展和发展大大提高了我们对细胞信号网络和途径的理解。然而，与此同时，这些技术进步也增加了令人满意地分析和解释这些不断扩大的数据集的难度。目前，包括分子生物学、遗传学、蛋白质组学、生物信息学和细胞生物学在内的多个不同的科学团体正在汇聚一个共同的终点，即从大量数据集测量、解释和潜在预测信号转导级联活性。我们对细胞或受体信号输出的复杂性以及胞内信号级联的结构协调性的日益认识，在某种程度上需要产生一个新的信息学分支，该分支将功能信号效应与生物学作用甚至整个动物表型更紧密地联系起来。解开并有望产生从跨膜受体系统到生理和药理作用的信号转导信息流的理论模型的能力可能是细胞信号科学中最伟大的进步之一。在这篇综述中，我们将试图帮助导航到这个新的细胞信号传导领域，并强调几种方法和技术，以欣赏这个令人兴奋的信号转导新时代。
The growth and development in the last decade of accurate and reliable mass data collection techniques has greatly enhanced our comprehension of cell signaling networks and pathways. At the same time however, these technological advances have also increased the difficulty of satisfactorily analyzing and interpreting these ever-expanding datasets. At the present time, multiple diverse scientific communities including molecular biological, genetic, proteomic, bioinformatic, and cell biological, are converging upon a common endpoint, that is, the measurement, interpretation, and potential prediction of signal transduction cascade activity from mass datasets. Our ever increasing appreciation of the complexity of cellular or receptor signaling output and the structural coordination of intracellular signaling cascades has to some extent necessitated the generation of a new branch of informatics that more closely associates functional signaling effects to biological actions and even whole-animal phenotypes. The ability to untangle and hopefully generate theoretical models of signal transduction information flow from transmembrane receptor systems to physiological and pharmacological actions may be one of the greatest advances in cell signaling science. In this overview, we shall attempt to assist the navigation into this new field of cell signaling and highlight several methodologies and technologies to appreciate this exciting new age of signal transduction.