Literature DB >> 26042389

Antimicrobial interactions: mechanisms and implications for drug discovery and resistance evolution.

Tobias Bollenbach1.   

Abstract

Combining antibiotics is a promising strategy for increasing treatment efficacy and for controlling resistance evolution. When drugs are combined, their effects on cells may be amplified or weakened, that is the drugs may show synergistic or antagonistic interactions. Recent work revealed the underlying mechanisms of such drug interactions by elucidating the drugs' joint effects on cell physiology. Moreover, new treatment strategies that use drug combinations to exploit evolutionary tradeoffs were shown to affect the rate of resistance evolution in predictable ways. High throughput studies have further identified drug candidates based on their interactions with established antibiotics and general principles that enable the prediction of drug interactions were suggested. Overall, the conceptual and technical foundation for the rational design of potent drug combinations is rapidly developing.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2015        PMID: 26042389     DOI: 10.1016/j.mib.2015.05.008

Source DB:  PubMed          Journal:  Curr Opin Microbiol        ISSN: 1369-5274            Impact factor:   7.934


  67 in total

1.  Toward a clinical antifungal peptoid: Investigations into the therapeutic potential of AEC5.

Authors:  Sabrina K Spicer; Aarthi Subramani; Angelica L Aguila; R Madison Green; Erin E McClelland; Kevin L Bicker
Journal:  Biopolymers       Date:  2019-04-02       Impact factor: 2.505

2.  Uncertainty quantification of the effects of biotic interactions on community dynamics from nonlinear time-series data.

Authors:  Simone Cenci; Serguei Saavedra
Journal:  J R Soc Interface       Date:  2018-10-31       Impact factor: 4.118

3.  Pairwise antibiotic interactions in Escherichia coli: triclosan, rifampicin and aztreonam with nine other classes of antibiotics.

Authors:  Caroline Nguyen; Alice Zhou; Ayesha Khan; Jeffrey H Miller; Pamela Yeh
Journal:  J Antibiot (Tokyo)       Date:  2016-03-09       Impact factor: 2.649

4.  Endless Resistance. Endless Antibiotics?

Authors:  Jed F Fisher; Shahriar Mobashery
Journal:  Medchemcomm       Date:  2015-11-03       Impact factor: 3.597

Review 5.  Suppressive drug combinations and their potential to combat antibiotic resistance.

Authors:  Nina Singh; Pamela J Yeh
Journal:  J Antibiot (Tokyo)       Date:  2017-09-06       Impact factor: 2.649

6.  Synthesis, Characterization, and Antimicrobial Investigation of a Novel Chlorhexidine Cyclamate Complex.

Authors:  Viktor Dubovoy; Primit Desai; Zhigang Hao; Chi-Yuan Cheng; Gaurav Verma; Lukasz Wojtas; Tatiana V Brinzari; Jeffrey M Boyd; Shengqian Ma; Tewodros Asefa; Long Pan
Journal:  Cryst Growth Des       Date:  2020-05-04       Impact factor: 4.076

7.  Association between antimicrobial drug class selection for treatment and retreatment of bovine respiratory disease and health, performance, and carcass quality outcomes in feedlot cattle.

Authors:  Johann F Coetzee; Natalia Cernicchiaro; Pritam K Sidhu; Michael D Kleinhenz
Journal:  J Anim Sci       Date:  2020-04-01       Impact factor: 3.159

8.  Identification of New MmpL3 Inhibitors by Untargeted and Targeted Mutant Screens Defines MmpL3 Domains with Differential Resistance.

Authors:  John T Williams; Elizabeth R Haiderer; Garry B Coulson; Kayla N Conner; Edmund Ellsworth; Chao Chen; Nadine Alvarez-Cabrera; Wei Li; Mary Jackson; Thomas Dick; Robert B Abramovitch
Journal:  Antimicrob Agents Chemother       Date:  2019-09-23       Impact factor: 5.191

Review 9.  Improving therapy of severe infections through drug repurposing of synergistic combinations.

Authors:  Yu-Shan Cheng; Peter R Williamson; Wei Zheng
Journal:  Curr Opin Pharmacol       Date:  2019-08-24       Impact factor: 5.547

Review 10.  Antibiotic efficacy-context matters.

Authors:  Jason H Yang; Sarah C Bening; James J Collins
Journal:  Curr Opin Microbiol       Date:  2017-10-16       Impact factor: 7.934

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