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Genome-Wide Identification of Molecular Mimicry Candidates in Parasites

Overview of attention for article published in PLOS ONE, March 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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1 blog
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2 X users
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1 research highlight platform

Citations

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49 Dimensions

Readers on

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111 Mendeley
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2 CiteULike
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Title
Genome-Wide Identification of Molecular Mimicry Candidates in Parasites
Published in
PLOS ONE, March 2011
DOI 10.1371/journal.pone.0017546
Pubmed ID
Authors

Philipp Ludin, Daniel Nilsson, Pascal Mäser

Abstract

Among the many strategies employed by parasites for immune evasion and host manipulation, one of the most fascinating is molecular mimicry. With genome sequences available for host and parasite, mimicry of linear amino acid epitopes can be investigated by comparative genomics. Here we developed an in silico pipeline for genome-wide identification of molecular mimicry candidate proteins or epitopes. The predicted proteome of a given parasite was broken down into overlapping fragments, each of which was screened for close hits in the human proteome. Control searches were carried out against unrelated, free-living eukaryotes to eliminate the generally conserved proteins, and with randomized versions of the parasite proteins to get an estimate of statistical significance. This simple but computation-intensive approach yielded interesting candidates from human-pathogenic parasites. From Plasmodium falciparum, it returned a 14 amino acid motif in several of the PfEMP1 variants identical to part of the heparin-binding domain in the immunosuppressive serum protein vitronectin. And in Brugia malayi, fragments were detected that matched to periphilin-1, a protein of cell-cell junctions involved in barrier formation. All the results are publicly available by means of mimicDB, a searchable online database for molecular mimicry candidates from pathogens. To our knowledge, this is the first genome-wide survey for molecular mimicry proteins in parasites. The strategy can be adopted to any pair of host and pathogen, once appropriate negative control organisms are chosen. MimicDB provides a host of new starting points to gain insights into the molecular nature of host-pathogen interactions.

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
United States 2 2%
Brazil 2 2%
France 1 <1%
Spain 1 <1%
Australia 1 <1%
Unknown 101 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 25%
Researcher 23 21%
Student > Master 9 8%
Student > Bachelor 9 8%
Student > Doctoral Student 6 5%
Other 14 13%
Unknown 22 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 43%
Biochemistry, Genetics and Molecular Biology 13 12%
Medicine and Dentistry 9 8%
Computer Science 4 4%
Social Sciences 4 4%
Other 10 9%
Unknown 23 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 2023.
All research outputs
#3,566,487
of 25,312,451 outputs
Outputs from PLOS ONE
#46,763
of 219,568 outputs
Outputs of similar age
#15,632
of 114,789 outputs
Outputs of similar age from PLOS ONE
#357
of 1,414 outputs
Altmetric has tracked 25,312,451 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 219,568 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 78% 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 114,789 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 1,414 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 74% of its contemporaries.