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Sensing of Antibiotic–Bacteria Interactions

Sensing of antibiotic–bacteria interactions is an important area of research that has gained significant attention in recent years. Antibiotic resistance is a major public health concern, and it is essential to develop new strategies for detecting and monitoring bacterial responses to antibiotics in...

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Detalles Bibliográficos
Autores principales: Baranova, Anna A., Tyurin, Anton P., Korshun, Vladimir A., Alferova, Vera A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451291/
https://www.ncbi.nlm.nih.gov/pubmed/37627760
http://dx.doi.org/10.3390/antibiotics12081340
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author Baranova, Anna A.
Tyurin, Anton P.
Korshun, Vladimir A.
Alferova, Vera A.
author_facet Baranova, Anna A.
Tyurin, Anton P.
Korshun, Vladimir A.
Alferova, Vera A.
author_sort Baranova, Anna A.
collection PubMed
description Sensing of antibiotic–bacteria interactions is an important area of research that has gained significant attention in recent years. Antibiotic resistance is a major public health concern, and it is essential to develop new strategies for detecting and monitoring bacterial responses to antibiotics in order to maintain effective antibiotic development and antibacterial treatment. This review summarizes recent advances in sensing strategies for antibiotic–bacteria interactions, which are divided into two main parts: studies on the mechanism of action for sensitive bacteria and interrogation of the defense mechanisms for resistant ones. In conclusion, this review provides an overview of the present research landscape concerning antibiotic–bacteria interactions, emphasizing the potential for method adaptation and the integration of machine learning techniques in data analysis, which could potentially lead to a transformative impact on mechanistic studies within the field.
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spelling pubmed-104512912023-08-26 Sensing of Antibiotic–Bacteria Interactions Baranova, Anna A. Tyurin, Anton P. Korshun, Vladimir A. Alferova, Vera A. Antibiotics (Basel) Review Sensing of antibiotic–bacteria interactions is an important area of research that has gained significant attention in recent years. Antibiotic resistance is a major public health concern, and it is essential to develop new strategies for detecting and monitoring bacterial responses to antibiotics in order to maintain effective antibiotic development and antibacterial treatment. This review summarizes recent advances in sensing strategies for antibiotic–bacteria interactions, which are divided into two main parts: studies on the mechanism of action for sensitive bacteria and interrogation of the defense mechanisms for resistant ones. In conclusion, this review provides an overview of the present research landscape concerning antibiotic–bacteria interactions, emphasizing the potential for method adaptation and the integration of machine learning techniques in data analysis, which could potentially lead to a transformative impact on mechanistic studies within the field. MDPI 2023-08-19 /pmc/articles/PMC10451291/ /pubmed/37627760 http://dx.doi.org/10.3390/antibiotics12081340 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Baranova, Anna A.
Tyurin, Anton P.
Korshun, Vladimir A.
Alferova, Vera A.
Sensing of Antibiotic–Bacteria Interactions
title Sensing of Antibiotic–Bacteria Interactions
title_full Sensing of Antibiotic–Bacteria Interactions
title_fullStr Sensing of Antibiotic–Bacteria Interactions
title_full_unstemmed Sensing of Antibiotic–Bacteria Interactions
title_short Sensing of Antibiotic–Bacteria Interactions
title_sort sensing of antibiotic–bacteria interactions
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451291/
https://www.ncbi.nlm.nih.gov/pubmed/37627760
http://dx.doi.org/10.3390/antibiotics12081340
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