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Optimized arylomycins are a new class of Gram-negative antibiotics

Overview of attention for article published in Nature, September 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Citations

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247 Dimensions

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mendeley
570 Mendeley
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2 CiteULike
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Title
Optimized arylomycins are a new class of Gram-negative antibiotics
Published in
Nature, September 2018
DOI 10.1038/s41586-018-0483-6
Pubmed ID
Authors

Peter A. Smith, Michael F. T. Koehler, Hany S. Girgis, Donghong Yan, Yongsheng Chen, Yuan Chen, James J. Crawford, Matthew R. Durk, Robert I. Higuchi, Jing Kang, Jeremy Murray, Prasuna Paraselli, Summer Park, Wilson Phung, John G. Quinn, Tucker C. Roberts, Lionel Rougé, Jacob B. Schwarz, Elizabeth Skippington, John Wai, Min Xu, Zhiyong Yu, Hua Zhang, Man-Wah Tan, Christopher E. Heise

Abstract

Multidrug-resistant bacteria are spreading at alarming rates, and despite extensive efforts no new class of antibiotic with activity against Gram-negative bacteria has been approved in over fifty years. Natural products and their derivatives have a key role in combating Gram-negative pathogens. Here we report chemical optimization of the arylomycins-a class of natural products with weak activity and limited spectrum-to obtain G0775, a molecule with potent, broad-spectrum activity against Gram-negative bacteria. G0775 inhibits the essential bacterial type I signal peptidase, a new antibiotic target, through an unprecedented molecular mechanism. It circumvents existing antibiotic resistance mechanisms and retains activity against contemporary multidrug-resistant Gram-negative clinical isolates in vitro and in several in vivo infection models. These findings demonstrate that optimized arylomycin analogues such as G0775 could translate into new therapies to address the growing threat of multidrug-resistant Gram-negative infections.

X Demographics

X Demographics

The data shown below were collected from the profiles of 444 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 570 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 570 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 150 26%
Researcher 85 15%
Student > Bachelor 66 12%
Student > Master 39 7%
Student > Doctoral Student 31 5%
Other 73 13%
Unknown 126 22%
Readers by discipline Count As %
Chemistry 123 22%
Biochemistry, Genetics and Molecular Biology 119 21%
Agricultural and Biological Sciences 60 11%
Immunology and Microbiology 39 7%
Pharmacology, Toxicology and Pharmaceutical Science 28 5%
Other 55 10%
Unknown 146 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 401. 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 25 November 2022.
All research outputs
#76,396
of 25,779,988 outputs
Outputs from Nature
#5,617
of 98,718 outputs
Outputs of similar age
#1,480
of 349,031 outputs
Outputs of similar age from Nature
#129
of 1,024 outputs
Altmetric has tracked 25,779,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,718 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. This one has done particularly well, scoring higher than 94% 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 349,031 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 99% of its contemporaries.
We're also able to compare this research output to 1,024 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.