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A guide to current methodology and usage of reverse vaccinology towards in silico vaccine discovery.
Goodswen, Stephen J; Kennedy, Paul J; Ellis, John T.
Afiliação
  • Goodswen SJ; School of Life Sciences, University of Technology Sydney, 15 Broadway, Ultimo NSW 2007, Australia.
  • Kennedy PJ; School of Computer Science, Faculty of Engineering and Information Technology and the Australian Artificial Intelligence Institute, University of Technology Sydney, 15 Broadway, Ultimo NSW 2007, Australia.
  • Ellis JT; School of Life Sciences, University of Technology Sydney, 15 Broadway, Ultimo NSW 2007, Australia.
FEMS Microbiol Rev ; 47(2)2023 03 10.
Article em En | MEDLINE | ID: mdl-36806618
ABSTRACT
Reverse vaccinology (RV) was described at its inception in 2000 as an in silico process that starts from the genomic sequence of the pathogen and ends with a list of potential protein and/or peptide candidates to be experimentally validated for vaccine development. Twenty-two years later, this process has evolved from a few steps entailing a handful of bioinformatics tools to a multitude of steps with a plethora of tools. Other in silico related processes with overlapping workflow steps have also emerged with terms such as subtractive proteomics, computational vaccinology, and immunoinformatics. From the perspective of a new RV practitioner, determining the appropriate workflow steps and bioinformatics tools can be a time consuming and overwhelming task, given the number of choices. This review presents the current understanding of RV and its usage in the research community as determined by a comprehensive survey of scientific papers published in the last seven years. We believe the current mainstream workflow steps and tools presented here will be a valuable guideline for all researchers wanting to apply an up-to-date in silico vaccine discovery process.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vacinas / Vacinologia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vacinas / Vacinologia Idioma: En Ano de publicação: 2023 Tipo de documento: Article