Additional file 2 of Identification of anti-horn fly vaccine antigen candidates using a reverse vaccinology approach
Luísa N. DominguesKylie G. BendeleLénaïg HalosYovany MorenoChristian EpeMonica FigueiredoMartin LiebsteinFelix D. Guerrero
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Additional file 2: Dataset S2. Horn fly longest ORFs translated with Virtual Ribosome.Keywords:
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Reverse vaccinology characterizes the cycle of antigen disclosure beginning from genome data. From its first application to Neisseria meningitidis bunch B, this methodology has progressively advanced and is currently acknowledged as an effective strategy for immunization disclosure, as it tends to be taken advantage of to foster antibodies against many sorts of microorganisms. Current opposite vaccinology approaches remember similar for silico examinations of different genome groupings to recognize moderated antigens inside a heterogeneous microbe populace and ID of antigens that are novel to pathogenic separates however not present in commensal strains. Likewise, transcriptomic and proteomic informational collections are coordinated into a determination cycle that yields a short rundown of up-and-comer antigens to be tried in creature models, consequently decreasing the expenses and season of downstream investigations. In this part, we will audit the over a significant time span utilizations of converse vaccinology and depict the benefits, difficulties and openings for this advancing discipline in the more extensive setting of antibody advancement
Reverse vaccinology
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Reverse vaceinology is a new technique in development of vaccine that makes use of the information of genome sequences and bioinformatics to identify candidate vaccines quickly.This approach has been successfully applied to the identification of meningococcus B as potential candidates,and other important human pathogens.It reveals that reverse vaccinology has wide prospect of application in the research and development of new vaccines.
Key words:
Reverse vaccinology; Candidate antigen; Genome
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A timely immunization can be effective against certain diseases and can save thousands of lives. However, for some diseases it has been difficult, so far, to develop an efficient vaccine. Malaria, a tropical disease caused by a parasite of the genus Plasmodium, is one example. Bioinformatics has opened the way to new lines of experimental investigation One example is reverse vaccinology that aims to identify antigens that are capable of generating an immune response in a given organism using in silico studies. In this study we applied a reverse vaccinology methodology using a bioinformatics pipeline. We obtained 45 potential linear B cells consensus epitopes from the whole genome of P. falciparum 3D7 that can be used as candidates for malaria vaccines. The direct implication of the results obtained is to open the way to experimentally validate more epitopes to increase the efficiency of the available treatments against malaria and to explore the methodology in other diseases.
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Reverse Vaccinology in Plasmodium falciparum 3D7 A timely immunization can be effective against certain diseases and can save thousands of lives. However, for some diseases it has been difficult, so far, to develop an efficient vaccine. Malaria, a tropical disease caused by a parasite of the genus Plasmodium, is one example. Bioinformatics has opened the way to new lines of experimental investigation One example is reverse vaccinology that aims to identify antigens that are capable of generating an immune response in a given organism using in silico studies. In this study we applied a reverse vaccinology methodology using a bioinformatics pipeline. We obtained 45 potential linear B cells consensus epitopes from the whole genome of P. falciparum 3D7 that can be used as candidates for malaria vaccines. The direct implication of the results obtained is to open the way to experimentally validate more epitopes to increase the efficiency of the available treatments against malaria and to explore the methodology in other diseases.
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A timely immunization can be effective against certain diseases and can save thousands of lives. However, for some diseases it has been difficult, so far, to develop an efficient vaccine. Malaria, a tropical disease caused by a parasite of the genus Plasmodium, is one example. Bioinformatics has opened the way to new lines of experimental investigation One example is reverse vaccinology that aims to identify antigens that are capable of generating an immune response in a given organism using in silico studies. In this study we applied a reverse vaccinology methodology using a bioinformatics pipeline. We obtained 45 potential linear B cells consensus epitopes from the whole genome of P. falciparum 3D7 that can be used as candidates for malaria vaccines. The direct implication of the results obtained is to open the way to experimentally validate more epitopes to increase the efficiency of the available treatments against malaria and to explore the methodology in other diseases.
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