Systems Biology and grid technologies: Challenges for understanding complex cell signaling networks

Irina Strizh; Alexei Joutchkov; Nikolay Tverdokhlebov; Sergey Golitsyn

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Systems Biology and grid technologies: Challenges for understanding complex cell signaling networks

机译：系统生物学和网格技术：理解复杂细胞信号网络的挑战

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Modern high-throughput analytical methods and computational modeling lead to the production of huge amounts of data in biology. This provides an opportunity to investigate dynamical properties of a biological system in a more rational way than previously, but it also requires advancements in applied information technologies. Experts need tools and technologies that enable data analysis and knowledge capture within such distributed and heterogeneous sources of information. This article outlines the benefits of grid technologies in Systems Biology, as illustrated through the example of reactive oxygen species pathways that are involved in the pathogenesis of a variety of diseases and in signal transduction.

机译：现代的高通量分析方法和计算模型导致了生物学中海量数据的产生。这为以比以前更合理的方式研究生物系统的动力学特性提供了机会，但它也需要应用信息技术的发展。专家需要能够在这种分布式和异构信息源中进行数据分析和知识捕获的工具和技术。本文概述了系统生物学中网格技术的优势，如通过活性氧物种途径（涉及多种疾病的发病机理和信号转导）所举例说明的那样。

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来源
《Future generation computer systems》 |2007年第3期|p.428-434|共7页
作者
Irina Strizh; Alexei Joutchkov; Nikolay Tverdokhlebov; Sergey Golitsyn;
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作者单位

Department of Biology, M. V. Lomonosov Moscow State University, Leninskie Gory, d. 1, k.12, 119992 Moscow, Russia;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
biology and genetics; cell networks; distributed data integration; grid; ontologies; systems biology;

机译：生物学与遗传学;细胞网络;分布式数据集成;网格;本体论;系统生物学;

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Systems Biology and grid technologies: Challenges for understanding complex cell signaling networks

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