Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology

Lignende værker

• A novel strategy for classifying the output from an in silico vaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms
  af: Goodswen, Stephen J, et al.
  Udgivet: (2013)
• Enhancing In Silico Protein-Based Vaccine Discovery for Eukaryotic Pathogens Using Predicted Peptide-MHC Binding and Peptide Conservation Scores
  af: Goodswen, Stephen J., et al.
  Udgivet: (2014)
• VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology
  af: Rizwan, Muhammad, et al.
  Udgivet: (2017)
• Evaluating High-Throughput Ab Initio Gene Finders to Discover Proteins Encoded in Eukaryotic Pathogen Genomes Missed by Laboratory Techniques
  af: Goodswen, Stephen J., et al.
  Udgivet: (2012)
• Discovery of Novel Leptospirosis Vaccine Candidates Using Reverse and Structural Vaccinology
  af: Grassmann, André Alex, et al.
  Udgivet: (2017)