2019 Fiscal Year Final Research Report
Methods for controlling biological networks using mathematical models
| Project/Area Number |
16K00391
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Life / Health / Medical informatics
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Project Period (FY) |
2016-04-01 – 2020-03-31
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| Keywords | 代謝ネットワーク / アルゴリズム / 有用物質生産 / 流束均衡解析モデル / ブーリアンモデル / NP完全問題 |
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| Outline of Final Research Achievements |
More than thousands of chemical reactions occur in the cell at the right time and in the right amount to maintain vital functions. This series of chemical reactions is called metabolism, and the network describing the relationship between each reaction is called the metabolic network. In this study, we developed and implemented an algorithm to (1) rapidly compute the reactions to be removed in order to produce useful materials efficiently, and validated it by computer simulation with flow models. (2) A fast algorithm was developed and implemented to simultaneously compute the reactions to be added and the reactions to be removed so that unnecessary metabolites that would be produced in the original state are no longer produced and necessary metabolites that would not be produced in the original state are produced, and was validated by the 0/1 model.
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| Free Research Field |
数理代謝工学
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| Academic Significance and Societal Importance of the Research Achievements |
微生物等の代謝機能を利用した有用物質の生産は、従来の化石燃料等に基づく物質生産にくらべて環境の負荷が小さく、持続可能性が高い。しかし自然状態のままで微生物が生産できる物質は限定的であり、所望の物質を効率よく生産するためには代謝ネットワークを改めてデザインする必要がある。しかしデザインのための組み合わせの数は膨大であり、すべての場合を試すことは不可能である。そこで代謝ネットワークを適切に効率よくデザインするための手法が必要になる。本研究で開発したアルゴリズムは、元の代謝ネットワークから削除や追加すべき反応を効率よく計算可能であり、物質生産の枠組みを根本的に刷新するための数理的な基盤を提供する。
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