Type

Journal Article

Authors

Stephen V. Gordon
Damien Farrell

Subjects

Biochemistry

Topics
proteins bacterial genomes web application prediction t cell integration proteome integrated

Epitopemap: a web application for integrated whole proteome epitope prediction. (2015)

Abstract Predictions of MHC binding affinity are commonly used in immunoinformatics for T cell epitope prediction. There are multiple available methods, some of which provide web access. However there is currently no convenient way to access the results from multiple methods at the same time or to execute predictions for an entire proteome at once. We designed a web application that allows integration of multiple epitope prediction methods for any number of proteins in a genome. The tool is a front-end for various freely available methods. Features include visualisation of results from multiple predictors within proteins in one plot, genome-wide analysis and estimates of epitope conservation. We present a self contained web application, Epitopemap, for calculating and viewing epitope predictions with multiple methods. The tool is easy to use and will assist in computational screening of viral or bacterial genomes.
Collections Ireland -> University College Dublin -> PubMed

Full list of authors on original publication

Stephen V. Gordon, Damien Farrell

Experts in our system

1
Stephen V. Gordon
University College Dublin
Total Publications: 40
 
2
Damien Farrell
University College Dublin
Total Publications: 16