INVESTIGADORES
DIAZ Maria Soledad
artículos
Título:
Optimizing cyanobacteria metabolic network for ethanol production
Autor/es:
CECILIA I. PAULO; VANINA G. ESTRADA; JIMENA DI MAGGIO; MARIA SOLEDAD DIAZ
Revista:
COMPUTER AIDED CHEMICAL ENGINEERING
Editorial:
ELSEVIER
Referencias:
Lugar: Amsterdam; Año: 2011 vol. 29 p. 1366 - 1371
ISSN:
1570-7946
Resumen:
This work addresses cyanobacteria Synechocystis PCC 6803 metabolic network
optimization with potential gene knockouts for ethanol production as a Mixed Integer
Lineal Programming problem. There is recent experimental evidence of ethanol
production by fermentation of cyanobacteria, while sequestrating carbon dioxide as
carbon source in photoautotrophic growth conditions. These issues make ethanol
production by algae a promising alternative. The optimization of metabolic pathways
gives useful insights on cellular metabolism for improving process yield by engineering
cyanobacteria.
optimization with potential gene knockouts for ethanol production as a Mixed Integer
Lineal Programming problem. There is recent experimental evidence of ethanol
production by fermentation of cyanobacteria, while sequestrating carbon dioxide as
carbon source in photoautotrophic growth conditions. These issues make ethanol
production by algae a promising alternative. The optimization of metabolic pathways
gives useful insights on cellular metabolism for improving process yield by engineering
cyanobacteria.
optimization with potential gene knockouts for ethanol production as a Mixed Integer
Lineal Programming problem. There is recent experimental evidence of ethanol
production by fermentation of cyanobacteria, while sequestrating carbon dioxide as
carbon source in photoautotrophic growth conditions. These issues make ethanol
production by algae a promising alternative. The optimization of metabolic pathways
gives useful insights on cellular metabolism for improving process yield by engineering
cyanobacteria.
Synechocystis PCC 6803 metabolic network
optimization with potential gene knockouts for ethanol production as a Mixed Integer
Lineal Programming problem. There is recent experimental evidence of ethanol
production by fermentation of cyanobacteria, while sequestrating carbon dioxide as
carbon source in photoautotrophic growth conditions. These issues make ethanol
production by algae a promising alternative. The optimization of metabolic pathways
gives useful insights on cellular metabolism for improving process yield by engineering
cyanobacteria.