Comparative Analysis of Biochemical Network Reconstructions

M. Mednis
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Abstract

Reconstruction of genome-scale metabolic network is a result of assembling various information sources about all biochemical reactions expected in the metabolic network of interest. Despite the efforts of leading bio-models databases to make comparison of biochemical networks by elements names obsolete, interest from researchers in using string similarity metrics in comparison of metabolites names has been growing. Multiple challenges in comparison of reconstructions are discussed in this article and an insight into current approach of metabolic model comparison has been given. The discussion of challenges and attempts to solve them are followed by the author’s proposed algorithm for models comparison that can be particularly useful in case of reconstructions. Special attention is given to the use of metabolites names and chemical formulas. The author’s proposed algorithm has been implemented in a software tool ModeRator. The article is concluded with use cases of the comparison algorithm and the software tool.
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生物化学网络重构的比较分析
基因组尺度代谢网络的重建是收集有关代谢网络中所有生化反应的各种信息源的结果。尽管领先的生物模型数据库努力使通过元素名称比较生化网络过时,但研究人员对使用字符串相似性度量来比较代谢物名称的兴趣一直在增长。本文讨论了重建比较中的多重挑战,并对目前代谢模型比较的方法进行了深入的探讨。在讨论挑战和尝试解决这些问题之后,作者提出了模型比较算法,该算法在重建的情况下特别有用。特别注意代谢物名称和化学式的使用。作者提出的算法已在一个软件工具ModeRator中实现。文章最后给出了比较算法和软件工具的用例。
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