Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles
| Autor: | Siu Hung Joshua Chan, Caleb M. Schmidt, Parsa Ghadermazi |
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| Rok vydání: | 2021 |
| Předmět: |
Focus (computing)
Physiology Computer science Management science microbial communities microbiome Biochemistry Microbiology QR1-502 Computer Science Applications metabolic modeling Multidisciplinary approach Modeling and Simulation Commentary Genetics Metabolic modeling Microbiome Molecular Biology Ecology Evolution Behavior and Systematics |
| Zdroj: | mSystems mSystems, Vol 6, Iss 5 (2021) |
| ISSN: | 2379-5077 |
| DOI: | 10.1128/msystems.00768-21 |
| Popis: | In this Commentary, we will discuss some of the current trends and challenges in modeling microbiome metabolism. A focus will be the state of the art in the integration of metabolic networks, ecological and evolutionary principles, and spatiotemporal considerations, followed by envisioning integrated frameworks incorporating different principles and data to generate predictive models in the future. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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