Predicting Protein Therapeutic Candidates for Bovine Babesiosis Using Secondary Structure Properties and Machine Learning

by Stephen J. Goodswen, Paul J. Kennedy, John T. Ellis
Published 2021-07-01

Enhancing in silico protein-based vaccine discovery for eukaryotic pathogens using predicted peptide-MHC binding and peptide conservation scores.

by Stephen J Goodswen, Paul J Kennedy, John T Ellis
Published 2014-01-01

Evaluating high-throughput ab initio gene finders to discover proteins encoded in eukaryotic pathogen genomes missed by laboratory techniques.

by Stephen J Goodswen, Paul J Kennedy, John T Ellis
Published 2012-01-01

A Gene-Based Positive Selection Detection Approach to Identify Vaccine Candidates Using Toxoplasma gondii as a Test Case Protozoan Pathogen

by Stephen J. Goodswen, Paul J. Kennedy, John T. Ellis
Published 2018-08-01

Applying Machine Learning to Predict the Exportome of Bovine and Canine <i>Babesia</i> Species That Cause Babesiosis

by Stephen J. Goodswen, Paul J. Kennedy, John T. Ellis
Published 2021-05-01