Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/96539
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | A guide to in silico vaccine discovery for eukaryotic pathogens |
Author: | Goodswen, S. Kennedy, P. Ellis, J. |
Citation: | Briefings in Bioinformatics, 2013; 14(6):753-774 |
Publisher: | Oxford University Press |
Issue Date: | 2013 |
ISSN: | 1467-5463 1477-4054 |
Statement of Responsibility: | Stephen J. Goodswen, Paul J. Kennedy and John T. Ellis |
Abstract: | In this article, a framework for an in silico pipeline is presented as a guide to high-throughput vaccine candidate discovery for eukaryotic pathogens, such as helminths and protozoa. Eukaryotic pathogens are mostly parasitic and cause some of the most damaging and difficult to treat diseases in humans and livestock. Consequently, these parasitic pathogens have a significant impact on economy and human health. The pipeline is based on the principle of reverse vaccinology and is constructed from freely available bioinformatics programs. There are several successful applications of reverse vaccinology to the discovery of subunit vaccines against prokaryotic pathogens but not yet against eukaryotic pathogens. The overriding aim of the pipeline, which focuses on eukaryotic pathogens, is to generate through computational processes of elimination and evidence gathering a ranked list of proteins based on a scoring system. These proteins are either surface components of the target pathogen or are secreted by the pathogen and are of a type known to be antigenic. No perfect predictive method is yet available; therefore, the highest-scoring proteins from the list require laboratory validation. |
Keywords: | reverse vaccinology eukaryotic pathogens in silico vaccine discovery apicomplexans immunoinformatics |
Rights: | © The Author 2012 |
DOI: | 10.1093/bib/bbs066 |
Published version: | http://dx.doi.org/10.1093/bib/bbs066 |
Appears in Collections: | Aurora harvest 7 Molecular and Biomedical Science publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.