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Re-sensitizing Multidrug Resistant Bacteria to Antibiotics by Targeting Bacterial Response Regulators: Characterization and Comparison of Interactions between 2-Aminoimidazoles and the Response…

Overview of attention for article published in Frontiers in Molecular Biosciences, February 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 4,859)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
6 X users
patent
1 patent

Citations

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27 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Re-sensitizing Multidrug Resistant Bacteria to Antibiotics by Targeting Bacterial Response Regulators: Characterization and Comparison of Interactions between 2-Aminoimidazoles and the Response Regulators BfmR from Acinetobacter baumannii and QseB from Francisella spp.
Published in
Frontiers in Molecular Biosciences, February 2018
DOI 10.3389/fmolb.2018.00015
Pubmed ID
Authors

Morgan E. Milton, Bradley M. Minrovic, Danni L. Harris, Brian Kang, David Jung, Caleb P. Lewis, Richele J. Thompson, Roberta J. Melander, Daina Zeng, Christian Melander, John Cavanagh

Abstract

2-aminoimidazole (2-AI) compounds inhibit the formation of bacterial biofilms, disperse preformed biofilms, and re-sensitize multidrug resistant bacteria to antibiotics. 2-AIs have previously been shown to interact with bacterial response regulators, but the mechanism of interaction is still unknown. Response regulators are one part of two-component systems (TCS). TCSs allow cells to respond to changes in their environment, and are used to trigger quorum sensing, virulence factors, and antibiotic resistance. Drugs that target the TCS signaling process can inhibit pathogenic behavior, making this a potent new therapeutic approach that has not yet been fully exploited. We previously laid the groundwork for the interaction of theAcinetobacter baumanniiresponse regulator BfmR with an early 2-AI derivative. Here, we further investigate the response regulator/2-AI interaction and look at a wider library of 2-AI compounds. By combining molecular modeling with biochemical and cellular studies, we expand on a potential mechanism for interaction between response regulators and 2-AIs. We also establish thatFrancisella tularensis/novicida, encoding for only three known response regulators, can be a model system to study the interaction between 2-AIs and response regulators. We show that knowledge gained from studyingFrancisellacan be applied to the more complexA. baumanniisystem, which contains over 50 response regulators. Understanding the impact of 2-AIs on response regulators and their mechanism of interaction will lead to the development of more potent compounds that will serve as adjuvant therapies to broad-range antibiotics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 19%
Researcher 10 19%
Student > Ph. D. Student 7 13%
Other 3 6%
Student > Master 3 6%
Other 4 8%
Unknown 15 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 21%
Agricultural and Biological Sciences 6 12%
Chemistry 5 10%
Immunology and Microbiology 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 8 15%
Unknown 15 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 August 2024.
All research outputs
#1,064,113
of 26,522,772 outputs
Outputs from Frontiers in Molecular Biosciences
#44
of 4,859 outputs
Outputs of similar age
#24,983
of 462,220 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#2
of 38 outputs
Altmetric has tracked 26,522,772 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,859 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 462,220 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.