ArticleJournal of bacteriology2009
Comparative genome-scale metabolic reconstruction and flux balance analysis of multiple Staphylococcus aureus genomes identify novel antimicrobial drug targets.
Article in Journal of bacteriology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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Who cites it
72 citing papers in PubMed, 156 citations in OpenAlex.
- Genome-scale metabolic model ofmSystems · 2025Article
- Exploring the metabolic profile of A. baumannii for antimicrobial development using genome-scale modeling.PLoS pathogens · 2024Article
- Control Theory and Systems Biology: Potential Applications in Neurodegeneration and Search for Therapeutic Targets.International journal of molecular sciences · 2023Review
- Integrating proteomic data with metabolic modeling provides insight into key pathways ofFrontiers in microbiology · 2023Article
- Genome-scale metabolic modeling in antimicrobial pharmacology.Engineering microbiology · 2022Review
- Article
- Genome-Scale Metabolic Modelling Approach to Understand the Metabolism of the Opportunistic Human PathogenMetabolites · 2022Article
- Role of Glucose-6-Phosphate in Metabolic Adaptation of Staphylococcus aureus in Diabetes.Microbiology spectrum · 2021Article
- Hierarchical Harmonization of Atom-Resolved Metabolic Reactions across Metabolic Databases.Metabolites · 2021Article
- Curating and comparing 114 strain-specific genome-scale metabolic models of Staphylococcus aureus.NPJ systems biology and applications · 2021Review
- A Review of Using Mathematical Modeling to Improve Our Understanding of Bacteriophage, Bacteria, and Eukaryotic Interactions.Frontiers in microbiology · 2021Review
- Article
- An integrated computational and experimental study to investigate Staphylococcus aureus metabolism.NPJ systems biology and applications · 2020Article
- Genotypic and Phenotypic Characterization of FecalFrontiers in microbiology · 2020Article
- Genome-Scale Metabolic Modeling for Unraveling Molecular Mechanisms of High Threat Pathogens.Frontiers in cell and developmental biology · 2020Review
- Strain-Specific Metabolic Requirements Revealed by a Defined Minimal Medium for Systems Analyses ofApplied and environmental microbiology · 2019Article
- Interplay of Nitric Oxide Synthase (NOS) and SrrAB in Modulation ofInfection and immunity · 2019Article
- iDS372, a Phenotypically Reconciled Model for the Metabolism ofFrontiers in microbiology · 2019Article
- A computational knowledge-base elucidates the response of Staphylococcus aureus to different media types.PLoS computational biology · 2019Article
- Integrating proteomic or transcriptomic data into metabolic models using linear bound flux balance analysis.Bioinformatics (Oxford, England) · 2018Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
Mortality due to multidrug-resistant Staphylococcus aureus infection is predicted to surpass that of human immunodeficiency virus/AIDS in the United States. Despite the various treatment options for S. aureus infections, it remains a major hospital- and community-acquired opportunistic pathogen. With the emergence of multidrug-resistant S. aureus strains, there is an urgent need for the discovery of new antimicrobial drug targets in the organism. To this end, we reconstructed the metabolic networks of multidrug-resistant S. aureus strains using genome annotation, functional-pathway analysis, and comparative genomic approaches, followed by flux balance analysis-based in silico single and double gene deletion experiments. We identified 70 single enzymes and 54 pairs of enzymes whose corresponding metabolic reactions are predicted to be unconditionally essential for growth. Of these, 44 single enzymes and 10 enzyme pairs proved to be common to all 13 S. aureus strains, including many that had not been previously identified as being essential for growth by gene deletion experiments in S. aureus. We thus conclude that metabolic reconstruction and in silico analyses of multiple strains of the same bacterial species provide a novel approach for potential antibiotic target identification.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.