Using metabolome data for mathematical modeling of plant metabolic systems

Masami Yokota Hirai, Fumihide Shiraishi

研究成果: ジャーナルへの寄稿評論記事

抄録

Plant metabolism is characterized by a wide diversity of metabolites, with systems far more complicated than those of microorganisms. Mathematical modeling is useful for understanding dynamic behaviors of plant metabolic systems for metabolic engineering. Time-series metabolome data has great potential for estimating kinetic model parameters to construct a genome-wide metabolic network model. However, data obtained by current metabolomics techniques does not meet the requirement for constructing accurate models. In this article, we highlight novel strategies and algorithms to handle the underlying difficulties and construct dynamic in vivo models for large-scale plant metabolic systems. The coarse but efficient modeling enables the prediction of unknown mechanisms regulating plant metabolism.

元の言語英語
ページ(範囲)138-144
ページ数7
ジャーナルCurrent Opinion in Biotechnology
54
DOI
出版物ステータス出版済み - 12 1 2018

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Metabolome
Metabolism
Metabolic Engineering
Metabolomics
Metabolic engineering
Metabolic Networks and Pathways
Metabolites
Genome
Microorganisms
Time series
Genes
Kinetics

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering
  • Biomedical Engineering

これを引用

Using metabolome data for mathematical modeling of plant metabolic systems. / Hirai, Masami Yokota; Shiraishi, Fumihide.

:: Current Opinion in Biotechnology, 巻 54, 01.12.2018, p. 138-144.

研究成果: ジャーナルへの寄稿評論記事

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