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

Bioinformatics

Volumn 30, Issue 16, 2014, Pages 2381-2383

  Goodswen, Stephen J ^a   Kennedy, Paul J ^b   Ellis, John T ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

VACCINE;

ALGORITHM; ARTIFICIAL INTELLIGENCE; CHEMISTRY; COMPUTER PROGRAM; COMPUTER SIMULATION; GENETICS; SEQUENCE ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE; VACCINES;

EID: 84904732727     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu300     Document Type: Article

References (8)

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3. Goodswen, S.J. et al. (2013b) A guide to in silico vaccine discovery for eukaryotic pathogens. Brief. Bioinform., 14, 753-774.
4. He, Y. et al. (2010) Vaxign: the first web-based vaccine design program for reverse vaccinology and applications for vaccine development. J. Biomed. Biotechnol., 297505.
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6. Rappuoli, R. (2000) Reverse vaccinology. Curr. Opin. Microbiol., 3, 445-450.
7. Ross, B.C. et al. (2001) Identification of vaccine candidate antigens from a genomic analysis of Porphyromonas gingivalis. Vaccine, 19, 4135-4142.
8. Vivona, S. et al. (2006) NERVE: new enhanced reverse vaccinology environment. BMC Biotechnol., 6, 35.