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An integrated computational and experimental studyto investigate Staphylococcus aureus metabolism

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TLDR
An updated and enhanced genome-scale metabolic model of S. aureus that combines genome annotation data, reaction stoichiometry, and regulation information from biochemical databases and previous strain-specific models to enhance the functional utility of omics data and to augment staphylococcal research worldwide is reconstructed and experimentally validated.
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The article was published on 2020-01-01 and is currently open access. It has received 8 citations till now. The article focuses on the topics: Staphylococcus aureus.

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Virulence and Metabolism.

TL;DR: This chapter essentially connects many recent observations that link the metabolism of S. aureus to its overall pathogenesis and hints that the mere presence of a plethora of virulence factors may not entirely explain the extraordinary pathogenic potential of S-Aureus.
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Genome-Scale Metabolic Modeling for Unraveling Molecular Mechanisms of High Threat Pathogens.

TL;DR: The current knowledge of genome-scale metabolic modeling in pathogen cells as well as pathogen host interaction systems and the promising applications in the extension of curative strategies against pathogens for global preventative healthcare are reviewed.
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Interplay of CodY and CcpA in Regulating Central Metabolism and Biofilm Formation in Staphylococcus aureus

TL;DR: Combined, the results of this study suggest that the coordinated action of CodY and CcpA modulate central metabolism, virulence gene expression, and biofilm-associated genes to optimize growth on preferred carbon sources until starvation sets in.
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Investigation of microbial community interactions between Lake Washington methanotrophs using -------genome-scale metabolic modeling.

TL;DR: This work attempted to predict the response of a simplified methane cycling microbial community from Lake Washington to varying environments and also provides an insight into the difference of dynamics in sediment-incubated microcosm community and synthetic co-cultures.
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Genome-Scale Metabolic Modelling Approach to Understand the Metabolism of the Opportunistic Human Pathogen Staphylococcus epidermidis RP62A

TL;DR: It is shown that this strain has no real substrate auxotrophies, although removal of proline from the media has the highest impact on the model and the experimental growth characteristics, and Amino acids, proline, valine, alanine, glutamate and arginine are preferred sources of energy and biomass production.
References
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The Universal Protein Resource (UniProt)

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Invasive Methicillin-Resistant Staphylococcus aureus Infections in the United States

TL;DR: Invasive MRSA infection affects certain populations disproportionately and is a major public health problem primarily related to health care but no longer confined to intensive care units, acute care hospitals, or any health care institution.
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The Pfam protein families database in 2019.

TL;DR: A significant comparison to the structural classification database that led to the creation of 825 new families based on their set of uncharacterized families (EUFs) was carried out and Pfam entries were connected to the Sequence Ontology (SO) through mapping of the Pfam type definitions to SO terms.
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What is flux balance analysis

TL;DR: This primer covers the theoretical basis of the approach, several practical examples and a software toolbox for performing the calculations.