↓ Skip to main content

From microbial gene essentiality to novel antimicrobial drug targets

Overview of attention for article published in BMC Genomics, November 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
120 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
From microbial gene essentiality to novel antimicrobial drug targets
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-958
Pubmed ID
Authors

Fredrick M Mobegi, Sacha AFT van Hijum, Peter Burghout, Hester J Bootsma, Stefan PW de Vries, Christa E van der Gaast-de Jongh, Elles Simonetti, Jeroen D Langereis, Peter WM Hermans, Marien I de Jonge, Aldert Zomer

Abstract

Bacterial respiratory tract infections, mainly caused by Streptococcus pneumoniae, Haemophilus influenzae and Moraxella catarrhalis are among the leading causes of global mortality and morbidity. Increased resistance of these pathogens to existing antibiotics necessitates the search for novel targets to develop potent antimicrobials.Result: Here, we report a proof of concept study for the reliable identification of potential drug targets in these human respiratory pathogens by combining high-density transposon mutagenesis, high-throughput sequencing, and integrative genomics. Approximately 20% of all genes in these three species were essential for growth and viability, including 128 essential and conserved genes, part of 47 metabolic pathways. By comparing these essential genes to the human genome, and a database of genes from commensal human gut microbiota, we identified and excluded potential drug targets in respiratory tract pathogens that will have off-target effects in the host, or disrupt the natural host microbiota. We propose 249 potential drug targets, 67 of which are targets for 75 FDA-approved antimicrobials and 35 other researched small molecule inhibitors. Two out of four selected novel targets where experimentally validated, proofing the concept.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Brazil 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Iceland 1 <1%
Denmark 1 <1%
Korea, Republic of 1 <1%
United States 1 <1%
Unknown 112 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 24%
Researcher 28 23%
Student > Master 13 11%
Student > Bachelor 8 7%
Student > Doctoral Student 5 4%
Other 16 13%
Unknown 21 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 27%
Biochemistry, Genetics and Molecular Biology 23 19%
Medicine and Dentistry 15 13%
Immunology and Microbiology 7 6%
Computer Science 5 4%
Other 13 11%
Unknown 25 21%
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 07 July 2015.
All research outputs
#13,760,392
of 23,330,477 outputs
Outputs from BMC Genomics
#5,079
of 10,744 outputs
Outputs of similar age
#127,602
of 264,122 outputs
Outputs of similar age from BMC Genomics
#105
of 272 outputs
Altmetric has tracked 23,330,477 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,744 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 264,122 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 272 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 58% of its contemporaries.