ArticleScientific reports2019
Multiscale Multiobjective Systems Analysis (MiMoSA): an advanced metabolic modeling framework for complex systems.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A structured evaluation of genome-scale constraint-based modeling tools for microbial consortia.PLoS computational biology · 2023Article
- Investigating the Unique Ability ofmSystems · 2023Article
- Modeling approaches for probing cross-feeding interactions in the human gut microbiome.Computational and structural biotechnology journal · 2022Review
- Metagenome-Scale Metabolic Network Suggests Folate Produced byMicroorganisms · 2021Article
- Review
- Inferring composition and function of the human gut microbiome in time and space: A review of genome-scale metabolic modelling tools.Computational and structural biotechnology journal · 2020Review
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Authors and funding
3 authors.
Funding
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Abstract
In natural environments, cells live in complex communities and experience a high degree of heterogeneity internally and in the environment. Even in 'ideal' laboratory environments, cells can experience a high degree of heterogeneity in their environments. Unfortunately, most of the metabolic modeling approaches that are currently used assume ideal conditions and that each cell is identical, limiting their application to pure cultures in well-mixed vessels. Here we describe our development of Multiscale Multiobjective Systems Analysis (MiMoSA), a metabolic modeling approach that can track individual cells in both space and time, track the diffusion of nutrients and light and the interaction of cells with each other and the environment. As a proof-of concept study, we used MiMoSA to model the growth of Trichodesmium erythraeum, a filamentous diazotrophic cyanobacterium which has cells with two distinct metabolic modes. The use of MiMoSA significantly improves our ability to predictively model metabolic changes and phenotype in more complex cell cultures.
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