Modeling genome-wide enzyme evolution predicts strong epistasis underlying catalytic turnover rates

Systems biology describes cellular phenotypes as properties that emerge from the complex interactions of individual system components. Little is known about how these interactions have affected the evolution of metabolic enzymes. Here, we combine genome-scale metabolic modeling with population genet...

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Detalles Bibliográficos
Autores principales: Heckmann, David, Zielinski, Daniel C., Palsson, Bernhard O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288127/
https://www.ncbi.nlm.nih.gov/pubmed/30532008
http://dx.doi.org/10.1038/s41467-018-07649-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288127/
https://www.ncbi.nlm.nih.gov/pubmed/30532008
http://dx.doi.org/10.1038/s41467-018-07649-1

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