First Genome-Scale Metabolic Model of Confirms Multiple Auxotrophies.

Metabolites

Computational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen, 72076 Tübingen, Germany.

Published: April 2021

is a quite recently discovered Gram-positive coccus. It has gained increasing attention due to its negative correlation with , which is one of the most successful modern pathogens causing severe infections with tremendous morbidity and mortality due to its multiple resistances. As the possible mechanisms behind its inhibition of remain unclear, a genome-scale metabolic model (GEM) is of enormous interest and high importance to better study its role in this fight. This article presents the first GEM of , which was curated using automated reconstruction tools and extensive manual curation steps to yield a high-quality GEM. It was evaluated and validated using all currently available experimental data of . With this model, already predicted auxotrophies and biosynthetic pathways could be verified. The model was used to define a minimal medium for further laboratory experiments and to predict various carbon sources' growth capacities. This model will pave the way to better understand 's role in the fight against .

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069353PMC
http://dx.doi.org/10.3390/metabo11040232DOI Listing

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