Ontology highlight
ABSTRACT:
ORGANISM(S): Synechocystis Sp. Pcc 6803
SUBMITTER: Fumio Matsuda
PROVIDER: PXD010010 | JPOST Repository | Tue Jun 02 00:00:00 BST 2020
REPOSITORIES: jPOST
Action | DRS | |||
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syn6803_20150416_Auto3_method1.lcd | Other | |||
syn6803_20150416_Auto3_method2.lcd | Other | |||
syn6803_20150416_Auto3_method3.lcd | Other | |||
syn6803_20150416_Auto4_method1.lcd | Other | |||
syn6803_20150416_Auto4_method2.lcd | Other |
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Nishiguchi Hiroki H Hiasa Natsuki N Uebayashi Kiyoka K Liao James J Shimizu Hiroshi H Matsuda Fumio F
Metabolic engineering 20190108
In silico kinetic modeling is an essential tool for rationally designing metabolically engineered organisms based on a system-level understanding of their regulatory mechanisms. However, an estimation of enzyme parameters has been a bottleneck in the computer simulation of metabolic dynamics. In this study, the ensemble-modeling approach was integrated with the transomics data to construct kinetic models. Kinetic metabolic models of a photosynthetic bacterium, Synechocystis sp. PCC 6803, were co ...[more]