Research Project
Grant-in-Aid for Challenging Exploratory Research
Aiming at designing metabolism of higher plants for metabolic engineering and generating crops with enhanced useful material production, I established a method for genome-scale mathematical modeling of metabolism in Arabidopsis thaliana. Differential equations in a model were symbolically established based only on a metabolic map. Then parameters in the model were estimated by using time-series metabolome data which were obtained from metabolically perturbed A. thaliana. The established model were successfully used for system analyses.
All 2016 2015 2014 2013 Other
All Journal Article (6 results) (of which Peer Reviewed: 6 results, Open Access: 3 results, Acknowledgement Compliant: 2 results) Presentation (11 results) (of which Invited: 5 results) Remarks (1 results)
Front. Mol. Biosci.
Volume: 3 Pages: 1-3
10.3389/fmolb.2016.00015
Bulletin of Mathematical Biology
Volume: 76 Issue: 6 Pages: 1333-1351
10.1007/s11538-014-9960-8
BMC Systems Biology
Volume: 8 Issue: S5
10.1186/1752-0509-8-s5-s4
TSB2013 Conference Proceedings
Volume: - Pages: 94-98
Mathematical Biosciences
Volume: VOL.248 Pages: 11-21
10.1016/j.mbs.2013.11.002
Plant and Cell Physiology
Volume: 54 Issue: 5 Pages: 728-739
10.1093/pcp/pct052
http://pasmet.riken.jp/