2014
DOI: 10.1007/s12010-014-1245-z
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Designing and Modeling of Complex DNA Vaccine Based on Tropomyosin Protein of Boophilus Genus Tick

Abstract: Boophilus tick is a bloodsucking ectoparasite that transfers some pathogens, reducing production and thus leading to economical losses in the cattle industry. Tropomyosin (TPM) protein is a salivary protein, has actin regulator activity, and plays an important role in immune reactions against parasites. In the current study, besides developing a safe, effective, and broad spectrum protective measure against Boophilus genus tick based on TPM protein, we attempted to minimize possible problems occurring in the d… Show more

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Cited by 17 publications
(5 citation statements)
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References 75 publications
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“…We have previously developed and used different strategies to increase the ability of computer-aided vaccine designing approaches to identify vaccine candidates such as (1) epitope selection from conserved regions ( 74 ), (2) profile similarity method to analyze biased-ness of predicted epitopes toward profiles of experimentally validated epitopes ( 74 ), (3) introducing cleavage sites for targeted cleavage of multi-epitopic vaccine ( 56 , 75 ), (4) B-cell epitope prediction by docking ( 74 ), (5) structure-based epitope identification ( 57 ), (6) CpG optimization ( 76 ), (7) sequence homology search against host ( 77 ), (8) adding adjuvant such as IL-12 ( 78 ), and (9) population coverage analysis ( 58 , 77 ). In this study, we integrated the evolutionary analysis with our reverse vaccinology, i.e., bioinformatical genome and epitope search pipeline ( 74 , 77 ) to identify vaccine candidates.…”
Section: Discussionmentioning
confidence: 99%
“…We have previously developed and used different strategies to increase the ability of computer-aided vaccine designing approaches to identify vaccine candidates such as (1) epitope selection from conserved regions ( 74 ), (2) profile similarity method to analyze biased-ness of predicted epitopes toward profiles of experimentally validated epitopes ( 74 ), (3) introducing cleavage sites for targeted cleavage of multi-epitopic vaccine ( 56 , 75 ), (4) B-cell epitope prediction by docking ( 74 ), (5) structure-based epitope identification ( 57 ), (6) CpG optimization ( 76 ), (7) sequence homology search against host ( 77 ), (8) adding adjuvant such as IL-12 ( 78 ), and (9) population coverage analysis ( 58 , 77 ). In this study, we integrated the evolutionary analysis with our reverse vaccinology, i.e., bioinformatical genome and epitope search pipeline ( 74 , 77 ) to identify vaccine candidates.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, the immunoinformatics techniques applied to T-cells have advanced to a greater degree than those dealing with B-cells. Indeed, it is now a common practice to identify the vaccine candidates using in silico approaches before being subjected to in vitro confirmatory studies (Gupta et al 2009 ; Ranjbar et al 2015 ). The major objective of our study was to identify an immunogenic peptide pool containing epitopes that can be effective against all the high-risk HPV strains circulating globally.…”
Section: Discussionmentioning
confidence: 99%
“…These linkers, acting as spacers, aid in the proper folding of the conformational epitopes in the chimeric proteins. To connect the MHC-II binding epitopes, the NH2- GPGPG-COOH linker was utilized, and for the B-cell epitopic fragments, the NH2-GGSSGG-COOH sequence was employed (Negahdaripour et al, 2017; Nezafat et al, 2017; Ranjbar et al, 2015).…”
Section: Methodsmentioning
confidence: 99%