| 引用本文: | 王正华,周婷婷.大规模代谢网络分解的生物信息学研究.[J].国防科技大学学报,2008,30(3):48-52.[点击复制] |
| WANG Zhenghua,ZHOU Tingting.A Review on Bioinformatics Analysis of Genome-scale Metabolic Network Decomposition[J].Journal of National University of Defense Technology,2008,30(3):48-52[点击复制] |
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| 大规模代谢网络分解的生物信息学研究 |
| 王正华, 周婷婷 |
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(国防科技大学 并行与分布处理国家重点实验室，湖南 长沙 410073)
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| 摘要: |
| 随着大规模分子相互作用数据的不断涌现，生物学网络方面的研究正日益得到重视。代谢网络处于生物体的功能执行阶段，其结构组成方式不仅反映了生物体的功能构成，也直接影响代谢工程中的途径分析和研究。作为代谢网络研究的重要环节，实现网络的合理分解不仅对于基因组范围内分子网络的结构和功能研究具有重要意义，也是代谢工程的途径分析和优化得以顺利进行的前提之一。在回顾代谢网络宏观结构和拓扑特征研究成果的基础上，通过对现有分解方法的深入分析，指出缺乏合理且有针对性的模型评估准则是目前网络分解研究中亟待解决的问题之一。今后的研究趋势在于如何整合更多的信息和发展更先进的分析方法，建立更合理的模型，并进一步拓展网络分解的应用范围。 |
| 关键词: 生物信息学 代谢网络 网络分解 评估准则 |
| DOI： |
| 投稿日期：2007-11-20 |
| 基金项目:国家自然科学基金资助项目(60603054)；国家重点实验室开放研究基金资助项目 |
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| A Review on Bioinformatics Analysis of Genome-scale Metabolic Network Decomposition |
| WANG Zhenghua, ZHOU Tingting |
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(National Laboratory for Parallel & Distributed Processing, National Univ. of Defense Technology, Changsha 410073，China)
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| Abstract: |
| As the large-scale data on molecular interaction available increases, the study on biological networks has ignited more and more attention. As the execution level of cellular functions, the structural composition of metabolic networks not only reflects the execution of cellular functions step by step, but also influences the pathway analysis of metabolic engineering. Hence, as a key step, a sound decomposition of global metabolic networks is not only significant for further exploring the structure and function of genome-scale biological networks, but also necessary for favorably developing the pathway analysis of metabolic engineering. Having reviewed the fruitful study of the macro-structure and topological characteristics, and analyzed some available decomposition approaches, this paper concludes that the lack of reasonable and purposeful evaluation criterions is one urgent problem in the present study of metabolic network decomposition. Besides, the future trend is to develop more effective decomposition models with more information and by more advanced approaches, as well as expanding the application range of network decomposition. |
| Keywords: bioinformatics metabolic network network decomposition evaluation criterion |
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