HIGHLIGHTS
- who: Mohammad H. Mirhakkak from the Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany have published the article: Metabolic modeling predicts specific gut bacteria as key determinants for Candida albicans colonization levels, in the Journal: Microbiome profiling
- what: The study demonstrates that in silico metabolic prediction can lead to the identification of gut microbiome features that can significantly affect potentially harmful levels of C. albicans. Next, the authors focused on investigating fluxes of metabolite exchange reactions.
- how: The authors identified the . . .
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