Cargando…
OptRAM: In-silico strain design via integrative regulatory-metabolic network modeling
The ultimate goal of metabolic engineering is to produce desired compounds on an industrial scale in a cost effective manner. To address challenges in metabolic engineering, computational strain optimization algorithms based on genome-scale metabolic models have increasingly been used to aid in over...
Autores principales: | Shen, Fangzhou, Sun, Renliang, Yao, Jie, Li, Jian, Liu, Qian, Price, Nathan D., Liu, Chenguang, Wang, Zhuo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6426274/ https://www.ncbi.nlm.nih.gov/pubmed/30849073 http://dx.doi.org/10.1371/journal.pcbi.1006835 |
Ejemplares similares
-
k-OptForce: Integrating Kinetics with Flux Balance Analysis for Strain Design
por: Chowdhury, Anupam, et al.
Publicado: (2014) -
Differential Bees Flux Balance Analysis with OptKnock for In Silico Microbial Strains Optimization
por: Choon, Yee Wen, et al.
Publicado: (2014) -
OptORF: Optimal metabolic and regulatory perturbations for metabolic engineering of microbial strains
por: Kim, Joonhoon, et al.
Publicado: (2010) -
OptDesign: Identifying Optimum Design Strategies in
Strain Engineering for Biochemical Production
por: Jiang, Shouyong, et al.
Publicado: (2022) -
Consent in escrow: opting to opt in
por: Van der Loos, Kiah I., et al.
Publicado: (2015)