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- W2914902188 abstract "Combating antimicrobial resistance has been highlighted as a critical global health priority. Due to the drying drug discovery pipeline, polymyxins have been employed as the last-line therapy against Gram-negative “superbugs”; however, the detailed mechanisms of antibacterial killing remain largely unclear, hampering the improvement of polymyxin therapy. Our integrative modeling using the constructed genome-scale metabolic model i ATCC19606 and the correlative multiomics data provide the fundamental understanding of the complex metabolic responses to polymyxin treatment in A. baumannii at the systems level. The model i ATCC19606 may have a significant potential in antimicrobial systems pharmacology research in A. baumannii ." @default.
- W2914902188 created "2019-02-21" @default.
- W2914902188 creator A5000189190 @default.
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- W2914902188 date "2019-02-26" @default.
- W2914902188 modified "2023-10-17" @default.
- W2914902188 title "Metabolic Responses to Polymyxin Treatment in <i>Acinetobacter baumannii</i> ATCC 19606: Integrating Transcriptomics and Metabolomics with Genome-Scale Metabolic Modeling" @default.
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- W2914902188 doi "https://doi.org/10.1128/msystems.00157-18" @default.
- W2914902188 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6365644" @default.
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- W2914902188 hasPublicationYear "2019" @default.
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