Using metabolome data for mathematical modeling of plant metabolic systems

Masami Yokota Hirai, Fumihide Shiraishi

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)138-144
Number of pages7
JournalCurrent Opinion in Biotechnology
Volume54
DOIs
Publication statusPublished - Dec 1 2018

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering
  • Biomedical Engineering

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