2022
DOI: 10.3390/life12050746
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Consensus Enolase of Trypanosoma Cruzi: Evaluation of Their Immunogenic Properties Using a Bioinformatics Approach

Abstract: There is currently no vaccine against American trypanosomiasis, caused by the parasite Trypanosoma cruzi. This is due to the genomic variation observed in the six DTUs of T. cruzi. This work aims to propose a consensus sequence of the enolase protein from different strains of T. cruzi and mainly evaluate its immunogenic properties at the bioinformatic level. From specialized databases, 15 sequences of the enolase gene were aligned to obtain a consensus sequence, where this sequence was modeled and then evaluat… Show more

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Cited by 5 publications
(2 citation statements)
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“…A. marginale AmEno01 protein was identified as a vaccine candidate, as it exists across all groups of A. marginale strains with well-conserved 3D-structures [58]. Bioinformatics studies of enolase in Trypanosoma cruzi, a causative agent of American trypanosomiasis, identified a consensus sequence of the enolase protein from 15 T. cruzi strains as a vaccine candidate [59].…”
Section: Traversal Of the Midgut Epitheliummentioning
confidence: 99%
“…A. marginale AmEno01 protein was identified as a vaccine candidate, as it exists across all groups of A. marginale strains with well-conserved 3D-structures [58]. Bioinformatics studies of enolase in Trypanosoma cruzi, a causative agent of American trypanosomiasis, identified a consensus sequence of the enolase protein from 15 T. cruzi strains as a vaccine candidate [59].…”
Section: Traversal Of the Midgut Epitheliummentioning
confidence: 99%
“…Immunological protection against T. cruzi has been studied since the second decade of the last century using animal models in which immunogens from killed parasites, attenuated parasites, cell fractions, purified proteins, and nucleic acid vaccines have been tested [162]. One of the most recent proposals for the development of a vaccine is the bioinformatics approach, which employs a wide range of computational techniques, including sequence and structural alignment, database design and data mining, macromolecular geometry, phylogenetic tree construction, prediction of protein structure and function, gene finding, and expression data clustering with the goal of functional analysis and data mining of data sets leading to biologically interpretable results and insights; recently this tool has been applied to the field of vaccinology against T. cruzi with promising results [192].…”
Section: Preventionmentioning
confidence: 99%