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Predicting copper-, iron-, and zinc-binding proteins in pathogenic species of the Paracoccidioides genus

Overview of attention for article published in Frontiers in Microbiology, January 2015
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Title
Predicting copper-, iron-, and zinc-binding proteins in pathogenic species of the Paracoccidioides genus
Published in
Frontiers in Microbiology, January 2015
DOI 10.3389/fmicb.2014.00761
Pubmed ID
Authors

Gabriel B. Tristão, Leandro do Prado Assunção, Luiz Paulo A. dos Santos, Clayton L. Borges, Mirelle Garcia Silva-Bailão, Célia M. de Almeida Soares, Gabriele Cavallaro, Alexandre M. Bailão

Abstract

Approximately one-third of all proteins have been estimated to contain at least one metal cofactor, and these proteins are referred to as metalloproteins. These represent one of the most diverse classes of proteins, containing metal ions that bind to specific sites to perform catalytic, regulatory and structural functions. Bioinformatic tools have been developed to predict metalloproteins encoded by an organism based only on its genome sequence. Its function and the type of metal binder can also be predicted via a bioinformatics approach. Paracoccidioides complex includes termodimorphic pathogenic fungi that are found as saprobic mycelia in the environment and as yeast, the parasitic form, in host tissues. They are the etiologic agents of Paracoccidioidomycosis, a prevalent systemic mycosis in Latin America. Many metalloproteins are important for the virulence of several pathogenic microorganisms. Accordingly, the present work aimed to predict the copper, iron and zinc proteins encoded by the genomes of three phylogenetic species of Paracoccidioides (Pb01, Pb03, and Pb18). The metalloproteins were identified using bioinformatics approaches based on structure, annotation and domains. Cu-, Fe-, and Zn-binding proteins represent 7% of the total proteins encoded by Paracoccidioides spp. genomes. Zinc proteins were the most abundant metalloproteins, representing 5.7% of the fungus proteome, whereas copper and iron proteins represent 0.3 and 1.2%, respectively. Functional classification revealed that metalloproteins are related to many cellular processes. Furthermore, it was observed that many of these metalloproteins serve as virulence factors in the biology of the fungus. Thus, it is concluded that the Cu, Fe, and Zn metalloproteomes of the Paracoccidioides spp. are of the utmost importance for the biology and virulence of these particular human pathogens.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
India 1 1%
Unknown 67 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 19%
Student > Ph. D. Student 9 13%
Student > Doctoral Student 7 10%
Student > Bachelor 7 10%
Researcher 7 10%
Other 19 27%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 36%
Biochemistry, Genetics and Molecular Biology 13 19%
Immunology and Microbiology 7 10%
Medicine and Dentistry 5 7%
Chemistry 5 7%
Other 5 7%
Unknown 10 14%
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 27 January 2015.
All research outputs
#17,736,409
of 22,776,824 outputs
Outputs from Frontiers in Microbiology
#17,088
of 24,689 outputs
Outputs of similar age
#241,405
of 352,043 outputs
Outputs of similar age from Frontiers in Microbiology
#188
of 272 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,689 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 22nd percentile – i.e., 22% 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 352,043 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
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 is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.