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Predictive Rules of Efflux Inhibition and Avoidance in Pseudomonas aeruginosa
Antibiotic-resistant bacteria rapidly spread in clinical and natural environments and challenge our modern lifestyle. A major component of defense against antibiotics in Gram-negative bacteria is a drug permeation barrier created by active efflux across the outer membrane. We identified molecular de...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845643/ https://www.ncbi.nlm.nih.gov/pubmed/33468691 http://dx.doi.org/10.1128/mBio.02785-20 |
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author | Mehla, Jitender Malloci, Giuliano Mansbach, Rachael López, Cesar A. Tsivkovski, Ruslan Haynes, Keith Leus, Inga V. Grindstaff, Sally B. Cascella, Robert H. D’Cunha, Napoleon Herndon, Liam Hengartner, Nicolas W. Margiotta, Enrico Atzori, Alessio Vargiu, Attilio V. Manrique, Pedro D. Walker, John K. Lomovskaya, Olga Ruggerone, Paolo Gnanakaran, S. Rybenkov, Valentin V. Zgurskaya, Helen I. |
author_facet | Mehla, Jitender Malloci, Giuliano Mansbach, Rachael López, Cesar A. Tsivkovski, Ruslan Haynes, Keith Leus, Inga V. Grindstaff, Sally B. Cascella, Robert H. D’Cunha, Napoleon Herndon, Liam Hengartner, Nicolas W. Margiotta, Enrico Atzori, Alessio Vargiu, Attilio V. Manrique, Pedro D. Walker, John K. Lomovskaya, Olga Ruggerone, Paolo Gnanakaran, S. Rybenkov, Valentin V. Zgurskaya, Helen I. |
author_sort | Mehla, Jitender |
collection | PubMed |
description | Antibiotic-resistant bacteria rapidly spread in clinical and natural environments and challenge our modern lifestyle. A major component of defense against antibiotics in Gram-negative bacteria is a drug permeation barrier created by active efflux across the outer membrane. We identified molecular determinants defining the propensity of small peptidomimetic molecules to avoid and inhibit efflux pumps in Pseudomonas aeruginosa, a human pathogen notorious for its antibiotic resistance. Combining experimental and computational protocols, we mapped the fate of the compounds from structure-activity relationships through their dynamic behavior in solution, permeation across both the inner and outer membranes, and interaction with MexB, the major efflux transporter of P. aeruginosa. We identified predictors of efflux avoidance and inhibition and demonstrated their power by using a library of traditional antibiotics and compound series and by generating new inhibitors of MexB. The identified predictors will enable the discovery and optimization of antibacterial agents suitable for treatment of P. aeruginosa infections. |
format | Online Article Text |
id | pubmed-7845643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-78456432021-02-05 Predictive Rules of Efflux Inhibition and Avoidance in Pseudomonas aeruginosa Mehla, Jitender Malloci, Giuliano Mansbach, Rachael López, Cesar A. Tsivkovski, Ruslan Haynes, Keith Leus, Inga V. Grindstaff, Sally B. Cascella, Robert H. D’Cunha, Napoleon Herndon, Liam Hengartner, Nicolas W. Margiotta, Enrico Atzori, Alessio Vargiu, Attilio V. Manrique, Pedro D. Walker, John K. Lomovskaya, Olga Ruggerone, Paolo Gnanakaran, S. Rybenkov, Valentin V. Zgurskaya, Helen I. mBio Research Article Antibiotic-resistant bacteria rapidly spread in clinical and natural environments and challenge our modern lifestyle. A major component of defense against antibiotics in Gram-negative bacteria is a drug permeation barrier created by active efflux across the outer membrane. We identified molecular determinants defining the propensity of small peptidomimetic molecules to avoid and inhibit efflux pumps in Pseudomonas aeruginosa, a human pathogen notorious for its antibiotic resistance. Combining experimental and computational protocols, we mapped the fate of the compounds from structure-activity relationships through their dynamic behavior in solution, permeation across both the inner and outer membranes, and interaction with MexB, the major efflux transporter of P. aeruginosa. We identified predictors of efflux avoidance and inhibition and demonstrated their power by using a library of traditional antibiotics and compound series and by generating new inhibitors of MexB. The identified predictors will enable the discovery and optimization of antibacterial agents suitable for treatment of P. aeruginosa infections. American Society for Microbiology 2021-01-19 /pmc/articles/PMC7845643/ /pubmed/33468691 http://dx.doi.org/10.1128/mBio.02785-20 Text en Copyright © 2021 Mehla et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Mehla, Jitender Malloci, Giuliano Mansbach, Rachael López, Cesar A. Tsivkovski, Ruslan Haynes, Keith Leus, Inga V. Grindstaff, Sally B. Cascella, Robert H. D’Cunha, Napoleon Herndon, Liam Hengartner, Nicolas W. Margiotta, Enrico Atzori, Alessio Vargiu, Attilio V. Manrique, Pedro D. Walker, John K. Lomovskaya, Olga Ruggerone, Paolo Gnanakaran, S. Rybenkov, Valentin V. Zgurskaya, Helen I. Predictive Rules of Efflux Inhibition and Avoidance in Pseudomonas aeruginosa |
title | Predictive Rules of Efflux Inhibition and Avoidance in Pseudomonas aeruginosa |
title_full | Predictive Rules of Efflux Inhibition and Avoidance in Pseudomonas aeruginosa |
title_fullStr | Predictive Rules of Efflux Inhibition and Avoidance in Pseudomonas aeruginosa |
title_full_unstemmed | Predictive Rules of Efflux Inhibition and Avoidance in Pseudomonas aeruginosa |
title_short | Predictive Rules of Efflux Inhibition and Avoidance in Pseudomonas aeruginosa |
title_sort | predictive rules of efflux inhibition and avoidance in pseudomonas aeruginosa |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845643/ https://www.ncbi.nlm.nih.gov/pubmed/33468691 http://dx.doi.org/10.1128/mBio.02785-20 |
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