Cargando…
Towards creating an extended metabolic model (EMM) for E. coli using enzyme promiscuity prediction and metabolomics data
BACKGROUND: Metabolic models are indispensable in guiding cellular engineering and in advancing our understanding of systems biology. As not all enzymatic activities are fully known and/or annotated, metabolic models remain incomplete, resulting in suboptimal computational analysis and leading to un...
Autores principales: | Amin, Sara A., Chavez, Elizabeth, Porokhin, Vladimir, Nair, Nikhil U., Hassoun, Soha |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567437/ https://www.ncbi.nlm.nih.gov/pubmed/31196115 http://dx.doi.org/10.1186/s12934-019-1156-3 |
Ejemplares similares
-
Analysis of metabolic network disruption in engineered microbial hosts due to enzyme promiscuity
por: Porokhin, Vladimir, et al.
Publicado: (2021) -
Using graph neural networks for site-of-metabolism prediction and its applications to ranking promiscuous enzymatic products
por: Porokhin, Vladimir, et al.
Publicado: (2023) -
Biological Filtering and Substrate Promiscuity Prediction for Annotating Untargeted Metabolomics
por: Hassanpour, Neda, et al.
Publicado: (2020) -
Enzyme promiscuity prediction using hierarchy-informed multi-label classification
por: Visani, Gian Marco, et al.
Publicado: (2021) -
Selection Finder (SelFi): A computational metabolic engineering tool to enable directed evolution of enzymes
por: Hassanpour, Neda, et al.
Publicado: (2017)