Database for predicting a metabolic flux distribution within a cell

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概要

• 論文の詳細を見る

• The knowledge of metabolic components and their interactions is essential for modeling metabolic networks. This study develops the database for predicting metabolic flux distributions under different conditions and investigates the mechanism of how the flux distributions for various networks are accurately predicted. Two different sizes of metabolic networks, small-scale and medium-scale network, are tested to predict the flux distribution of Escherichia coli (E.coli) and Saccharomyces cerevisiae (S.cerevisiae).

• 一般社団法人情報処理学会の論文
• 2013-09-12

著者

• Hiroyuki Kurata

  Department Of Bioscience And Bioinformatics Kyushu Institute Of Technology

• Kentaro Inoue

  Laboratory for Cellular Systems Modeling, RIKEN RCAI

関連論文

• Two-phase Search (TPS) Method: Nonbiased and High-speed Parameter Search for Dynamic Models of Biochemical Networks
• Complementary elementary mode analysis for large-scale metabolic networks
• Database for predicting a metabolic flux distribution within a cell

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