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Antibiotics

Overview of attention for book
Cover of 'Antibiotics'

Table of Contents

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    Book Overview
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    Chapter 1 Antibiotics: Precious Goods in Changing Times
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    Chapter 2 Mining Bacterial Genomes for Secondary Metabolite Gene Clusters
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    Chapter 3 Production of Antimicrobial Compounds by Fermentation
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    Chapter 4 Structure Elucidation of Antibiotics by NMR Spectroscopy
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    Chapter 5 Computer-Aided Drug Design Methods
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    Chapter 6 Cytotoxicity Assays as Predictors of the Safety and Efficacy of Antimicrobial Agents
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    Chapter 7 Application of a Bacillus subtilis Whole-Cell Biosensor (PliaI-lux) for the Identification of Cell Wall Active Antibacterial Compounds
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    Chapter 8 Determination of Bacterial Membrane Impairment by Antimicrobial Agents
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    Chapter 9 Mass-Sensitive Biosensor Systems to Determine the Membrane Interaction of Analytes
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    Chapter 10 Measurement of Cell Membrane Fluidity by Laurdan GP: Fluorescence Spectroscopy and Microscopy
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    Chapter 11 In Vitro Assays to Identify Antibiotics Targeting DNA Metabolism
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    Chapter 12 Fluorescence-Based Real-Time Activity Assays to Identify RNase P Inhibitors
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    Chapter 13 Reporter Gene-Based Screening for TPP Riboswitch Activators
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    Chapter 14 Cell-Based Fluorescent Screen to Identify Inhibitors of Bacterial Translation Initiation
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    Chapter 15 Bacterial Histidine Kinases: Overexpression, Purification, and Inhibitor Screen
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    Chapter 16 Expression Profiling of Antibiotic-Resistant Bacteria Obtained by Laboratory Evolution
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    Chapter 17 Sample Preparation for Mass-Spectrometry Based Absolute Protein Quantification in Antibiotic Stress Research
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    Chapter 18 Label-Free Quantitation of Ribosomal Proteins from Bacillus subtilis for Antibiotic Research
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    Chapter 19 Functional Metagenomics to Study Antibiotic Resistance
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    Chapter 20 Epidemiological Surveillance and Typing Methods to Track Antibiotic Resistant Strains Using High Throughput Sequencing
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    Chapter 21 Erratum
Attention for Chapter 13: Reporter Gene-Based Screening for TPP Riboswitch Activators
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About this Attention Score

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  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Citations

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Chapter title
Reporter Gene-Based Screening for TPP Riboswitch Activators
Chapter number 13
Book title
Antibiotics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6634-9_13
Pubmed ID
27873255
Book ISBNs
978-1-4939-6632-5, 978-1-4939-6634-9
Authors

Christina E. Lünse, Günter Mayer, Lünse, Christina E, Mayer, Günter

Editors

Peter Sass

Abstract

With the rise of multidrug resistant bacteria and a growing number of nosocomial infections, there has been an increased interest in finding new antibacterial drugs and drug targets. Riboswitches represent attractive new antibacterial drug targets, because they not only inherently recognize a specific metabolite or ion with their RNA aptamer domain, but also often regulate essential metabolic pathways. Here, we describe a reporter gene-based screen to identify compounds that activate the thiamine pyrophosphate (TPP) riboswitch in bacteria. This assay can be easily adapted for different riboswitch classes and thus has the potential to target many essential metabolic pathways and a broad spectrum of bacterial pathogens.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Professor 2 13%
Student > Bachelor 1 7%
Student > Master 1 7%
Researcher 1 7%
Other 1 7%
Unknown 6 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 47%
Nursing and Health Professions 1 7%
Medicine and Dentistry 1 7%
Unknown 6 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 March 2018.
All research outputs
#13,795,558
of 22,903,988 outputs
Outputs from Methods in molecular biology
#3,875
of 13,133 outputs
Outputs of similar age
#218,020
of 420,462 outputs
Outputs of similar age from Methods in molecular biology
#340
of 1,074 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 69% 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 420,462 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.

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