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Predicting Nash equilibria for microbial metabolic interactions
Author(s) -
Jingyi Cai,
Tianwei Tan,
Siu Hung Joshua Chan
Publication year - 2020
Publication title -
bioinformatics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa1014
Subject(s) - flux balance analysis , mutualism (biology) , nash equilibrium , computer science , context (archaeology) , interdependence , mathematical optimization , ecology , biology , mathematics , bioinformatics , paleontology , political science , law
Microbial metabolic interactions impact ecosystems, human health and biotechnology profoundly. However, their determination remains elusive, invoking an urgent need for predictive models seamlessly integrating metabolism with evolutionary principles that shape community interactions.

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