Vacceed

Vacceed is a configurable and scalable framework for automating high-throughput in silico vaccine candidate discovery for eukaryotic pathogens. It uses machine learning algorithms to rank thousands of input protein sequences from the target pathogen and generate a list of potential vaccine candidates. The framework can also predict protein sequences from the pathogen's genome.

Topic

Model organisms;Microbiology;Compound libraries and screening;Drug discovery

Detail

  • Operation: DNA vaccine design

  • Software interface: Command-line user interface

  • Language: R;Perl

  • License: Not stated

  • Cost: Free

  • Version name: v1.1

  • Credit: PhD scholarship from Zoetis (Pfizer) Animal Health.

  • Input: -

  • Output: -

  • Contact: John T. Ellis John.Ellis@uts.edu.au

  • Collection: -

  • Maturity: -

Publications

  • Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology.
  • Goodswen SJ, et al. Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology. Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology. 2014; 30:2381-3. doi: 10.1093/bioinformatics/btu300
  • https://doi.org/10.1093/bioinformatics/btu300
  • PMID: 24790156
  • PMC: PMC4207429

Download and documentation

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