↓ Skip to main content

Repurposing FDA approved drugs against the human fungal pathogen, Candida albicans

Overview of attention for article published in Annals of Clinical Microbiology and Antimicrobials, June 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
4 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
67 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
Repurposing FDA approved drugs against the human fungal pathogen, Candida albicans
Published in
Annals of Clinical Microbiology and Antimicrobials, June 2015
DOI 10.1186/s12941-015-0090-4
Pubmed ID
Authors

Kevin Kim, Leeor Zilbermintz, Mikhail Martchenko

Abstract

The high cost and prolonged timeline of new drug discovery and development are major roadblocks to creating therapies for infectious diseases. Candida albicans is an opportunistic fungal pathogen that is the most common cause of fatal fungal infections in humans and costs $2-4 billion dollars to treat in the US alone. To accelerate drug discovery, we screened a library of 1581 existing FDA approved drugs, as well as drugs approved abroad, for inhibitors of C. albicans. The screen was done on YPD yeast growth media as well as on the serum plate assay developed in this study. We discovered that fifteen drugs, all which were originally approved for treating various infectious and non-infectious diseases, were able to kill Candida albicans. Additionally, one of those drugs, Octodrine, displays wide-spectrum anti-microbial activity. Compared to other selected anti-Candida drugs, Octodrine was shown to be one of the most effective drugs in killing serum-grown Candida albicans without significantly affecting the survival of host macrophages and skin cells. This approach is useful for the discovery of economically viable new therapies against infectious diseases.

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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Unknown 65 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 19%
Student > Bachelor 12 18%
Researcher 9 13%
Student > Master 5 7%
Student > Postgraduate 4 6%
Other 13 19%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 16%
Pharmacology, Toxicology and Pharmaceutical Science 9 13%
Immunology and Microbiology 8 12%
Biochemistry, Genetics and Molecular Biology 7 10%
Medicine and Dentistry 6 9%
Other 11 16%
Unknown 15 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 November 2018.
All research outputs
#6,148,629
of 22,811,321 outputs
Outputs from Annals of Clinical Microbiology and Antimicrobials
#114
of 608 outputs
Outputs of similar age
#72,070
of 266,419 outputs
Outputs of similar age from Annals of Clinical Microbiology and Antimicrobials
#1
of 10 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 608 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 80% 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 266,419 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 72% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them