The Database of Quantitative Cellular Signaling: management and analysis of chemical kinetic models of signaling networks
The Database of Quantitative Cellular Signaling: management and analysis of chemical kinetic models of signaling networks
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DOI：
10.1093/bioinformatics/btf860
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发表时间：
2003-02-12
期刊：
影响因子：
5.8
通讯作者：
Bhalla, US
中科院分区：
文献类型：
--
作者：
Sivakumaran, S;Hariharaputran, S;Bhalla, US
动机：细胞信号相互作用的分析被认为是一个巨大的信息学挑战，甚至可能比分析基因组更大。信令过程产生的复杂网络传统上用方框图表示。向更定量地理解信号传导进化的关键一步是明确地指定途径中所有化学反应步骤的动力学。蛋白质组学和高通量蛋白质相互作用分析的技术进步保证了大量这样的定量数据。虽然注释、分子信息和通路连接已经在几个数据库中编译，并且有几种通用细胞模型描述语言的建议，但目前化学动力学数据库和信号网络的反应水平模型的经验很少。结果：定量细胞信号数据库是一个信号通路模型库。它的目的是服务于不断增长的信号网络的化学反应级模拟领域，并预测信号化学的大规模数据管理问题。
Motivation: Analysis of cellular signaling interactions is expected to pose an enormous informatics challenge, perhaps even larger than analyzing the genome. The complex networks arising from signaling processes are traditionally represented as block diagrams. A key step in the evolution toward a more quantitative understanding of signaling is to explicitly specify the kinetics of all chemical reaction steps in a pathway. Technical advances in proteomics and high-throughput protein interaction assays promise a flood of such quantitative data. While annotations, molecular information and pathway connectivity have been compiled in several databases, and there are several proposals for general cell model description languages, there is currently little experience with databases of chemical kinetics and reaction level models of signaling networks.Results: The Database of Quantitative Cellular Signaling is a repository of models of signaling pathways. It is intended both to serve the growing field of chemical-reaction level simulation of signaling networks, and to anticipate issues in large-scale data management for signaling chemistry.