Computational metabolic engineering strategies for growth-coupled biofuel production by Synechocystis.
about
Systems analysis of ethanol production in the genetically engineered cyanobacterium Synechococcus sp. PCC 7002.Photosynthetic fuel for heterologous enzymes: the role of electron carrier proteins.Responses of Synechocystis sp. PCC 6803 to heterologous biosynthetic pathways.Metabolic engineering of Synechococcus elongatus PCC 7942 for improvement of 1,3-propanediol and glycerol production based on in silico simulation of metabolic flux distribution.Rerouting of carbon flux in a glycogen mutant of cyanobacteria assessed via isotopically non-stationary 13 C metabolic flux analysis.Genetic Optimization Algorithm for Metabolic Engineering Revisited
P2860
Computational metabolic engineering strategies for growth-coupled biofuel production by Synechocystis.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh-hant
name
Computational metabolic engine ...... l production by Synechocystis.
@en
Computational metabolic engine ...... l production by Synechocystis.
@nl
type
label
Computational metabolic engine ...... l production by Synechocystis.
@en
Computational metabolic engine ...... l production by Synechocystis.
@nl
prefLabel
Computational metabolic engine ...... l production by Synechocystis.
@en
Computational metabolic engine ...... l production by Synechocystis.
@nl
P2860
P1476
Computational metabolic engine ...... el production by Synechocystis
@en
P2093
Elton P Hudson
Kiyan Shabestary
P2860
P304
P356
10.1016/J.METENO.2016.07.003
P577
2016-07-20T00:00:00Z