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• W3048840192 abstract "With the growing global threat of antimicrobial resistance, novel strategies are required for combatting resistant pathogens. Combination therapy, in which multiple drugs are used to treat an infection, has proven highly successful in the treatment of cancer and HIV. However, this practice has proven challenging for the treatment of bacterial infections due to difficulties in selecting the correct combinations and dosages. An additional challenge in infection treatment is the polymicrobial nature of many infections, which may respond to antibiotics differently than a monoculture pathogen." @default.
• W3048840192 created "2020-08-18" @default.
• W3048840192 creator A5049673277 @default.
• W3048840192 creator A5059915163 @default.
• W3048840192 date "2020-10-20" @default.
• W3048840192 modified "2023-09-25" @default.
• W3048840192 title "Weakest-Link Dynamics Predict Apparent Antibiotic Interactions in a Model Cross-Feeding Community" @default.
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• W3048840192 doi "https://doi.org/10.1128/aac.00465-20" @default.
• W3048840192 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7577160" @default.
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