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PvGAMA reticulocyte binding activity: predicting conserved functional regions by natural selection analysis

Overview of attention for article published in Parasites & Vectors, May 2017
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Title
PvGAMA reticulocyte binding activity: predicting conserved functional regions by natural selection analysis
Published in
Parasites & Vectors, May 2017
DOI 10.1186/s13071-017-2183-8
Pubmed ID
Authors

Luis A. Baquero, Darwin A. Moreno-Pérez, Diego Garzón-Ospina, Johanna Forero-Rodríguez, Heidy D. Ortiz-Suárez, Manuel A. Patarroyo

Abstract

Adhesin proteins are used by Plasmodium parasites to bind and invade target cells. Hence, characterising molecules that participate in reticulocyte interaction is key to understanding the molecular basis of Plasmodium vivax invasion. This study focused on predicting functionally restricted regions of the P. vivax GPI-anchored micronemal antigen (PvGAMA) and characterising their reticulocyte binding activity. The pvgama gene was initially found in P. vivax VCG-I strain schizonts. According to the genetic diversity analysis, PvGAMA displayed a size polymorphism very common for antigenic P. vivax proteins. Two regions along the antigen sequence were highly conserved among species, having a negative natural selection signal. Interestingly, these regions revealed a functional role regarding preferential target cell adhesion. To our knowledge, this study describes PvGAMA reticulocyte binding properties for the first time. Conserved functional regions were predicted according to natural selection analysis and their binding ability was confirmed. These findings support the notion that PvGAMA may have an important role in P. vivax merozoite adhesion to its target cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Researcher 5 17%
Student > Ph. D. Student 5 17%
Student > Bachelor 3 10%
Other 1 3%
Other 3 10%
Unknown 8 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 17%
Medicine and Dentistry 4 13%
Biochemistry, Genetics and Molecular Biology 3 10%
Immunology and Microbiology 2 7%
Social Sciences 2 7%
Other 3 10%
Unknown 11 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 May 2017.
All research outputs
#15,459,782
of 22,973,051 outputs
Outputs from Parasites & Vectors
#3,403
of 5,487 outputs
Outputs of similar age
#196,408
of 312,883 outputs
Outputs of similar age from Parasites & Vectors
#116
of 154 outputs
Altmetric has tracked 22,973,051 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,487 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 30th percentile – i.e., 30% 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 312,883 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.