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In silico design of polycationic antimicrobial peptides active against Pseudomonas aeruginosa and Staphylococcus aureus

Overview of attention for article published in Antonie van Leeuwenhoek, April 2018
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Title
In silico design of polycationic antimicrobial peptides active against Pseudomonas aeruginosa and Staphylococcus aureus
Published in
Antonie van Leeuwenhoek, April 2018
DOI 10.1007/s10482-018-1080-2
Pubmed ID
Authors

Oscar Hincapié, Paula Giraldo, Sergio Orduz

Abstract

Antimicrobial peptides (AMPs) have the potential to become valuable antimicrobial drugs in the coming years, since they offer wide spectrum of action, rapid bactericidal activity, and low probability for resistance development in comparison with traditional antibiotics. The search and improvement of methodologies for discovering new AMPs to treat resistant bacteria such as Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii and Pseudomonas aeruginosa are needed for further development of antimicrobial products. In this work, the software Peptide ID 1.0®was used to find new antimicrobial peptide candidates encrypted in proteins, considering the physicochemical parameters characteristics of AMPs such as positive net charge, hydrophobicity, and sequence length, among others. From the selected protein fragments, new AMPs were designed after conservative and semi-conservative modifications and amidation of the C-terminal region. In vitro studies of the antimicrobial activity of the newly designed peptides showed that two peptides, P3-B and P3-C, were active against P. aeruginosa Escherichia coli and A. baumannii with low minimum inhibitory concentrations. Peptide P3-C was also active against K. pneumoniae and S. aureus. Furthermore, bactericidal activity and information on the possible mechanisms of action are described according to the scanning electron microscopy studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 11%
Student > Ph. D. Student 7 11%
Researcher 6 10%
Student > Bachelor 4 7%
Unspecified 4 7%
Other 11 18%
Unknown 22 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 23%
Agricultural and Biological Sciences 5 8%
Immunology and Microbiology 5 8%
Unspecified 4 7%
Medicine and Dentistry 3 5%
Other 7 11%
Unknown 23 38%
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 13 April 2018.
All research outputs
#13,900,608
of 23,041,514 outputs
Outputs from Antonie van Leeuwenhoek
#1,259
of 2,039 outputs
Outputs of similar age
#176,648
of 329,529 outputs
Outputs of similar age from Antonie van Leeuwenhoek
#22
of 40 outputs
Altmetric has tracked 23,041,514 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 2,039 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 329,529 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.