Author
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Carlson, Steven |
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Casey, Thomas |
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Wu, Max |
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HAMMES, BRIAN - IOWA STATE UNIVERSITY |
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JONES, B - UNIVERSITY OF IOWA |
Submitted to: Analytical Biochemistry
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 6/26/2002 Publication Date: 11/1/2002 Citation: CARLSON, S.A., CASEY,T.A., WU, M.T., HAMMES,B.D., JONES,B.D. A HIGH-THROUGHPUT GENETIC SYSTEM FOR ASSESSING THE INHIBITION OF PROTEINS: IDENTIFICATION OF ANTIBIOTIC RESISTANCE AND VIRULENCE TARGETS AND THE COGNATE INHIBITORS IN SALMONELLA. ANALYTICAL BIOCHEMISTRY. 2002. V. 310. P. 72-83. Interpretive Summary: An approach to impeding bacterial pathogens is to identify vital bacterial proteins that are sensitive to intervention. Small peptide molecules can serve as useful tools in this process since they have been shown to possess a wide range of antibacterial activities. This study describes the development of a novel genetic system for detecting interactions that perturb antibiotic resistance or virulence in a Salmonella model. This system led to the identification of Salmonella, Shigella, and pathogenic Escherichia coli proteins that are sensitive to inhibition. The systems described herein can be extended to other pathogens for analogous studies. This information will be useful to other scientists and the pharmaceutical industry. Technical Abstract: An approach to impeding bacterial pathogens is to identify vital bacterial proteins that are sensitive to intervention. Oligopeptides can serve as useful tools in this process since these short peptide molecules have been shown to possess a wide range of antibacterial activities. This study describes the development of a novel high- throughput genetic system for detecting oligopeptide-protein interactions that perturb antibiotic resistance or virulence in a Salmonella model. This system led to the identification of Salmonella, Shigella, and pathogenic Escherichia coli proteins that are sensitive to inhibition. The systems described herein can be extended to other pathogens for analogous studies. |