Assumptions on decision making and environment can yield multiple steady states in microbial community models

BACKGROUND: Microbial community simulations using genome scale metabolic networks (GSMs) are relevant for many application areas, such as the analysis of the human microbiome. Such simulations rely on assumptions about the culturing environment, affecting if the culture may reach a metabolically sta...

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Detalles Bibliográficos
Autores principales: Theorell, Axel, Stelling, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288676/
https://www.ncbi.nlm.nih.gov/pubmed/37349675
http://dx.doi.org/10.1186/s12859-023-05325-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288676/
https://www.ncbi.nlm.nih.gov/pubmed/37349675
http://dx.doi.org/10.1186/s12859-023-05325-w

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