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Welcome to Vaxign-ML!

Vaxign-ML (Vaxign - Machine Learning) is a machine learning-based vaccine candidate prediction and analysis system based on the principle of reverse vaccinology. Vaxign-ML standalone version is available in Docker. Source code is avaiable in GitHub Please see the Vaxign Documentation for tutorial or more information.

Vaxign-ML Query:

Input Protein Sequence(s)
Protein Sequence(s):
(Examples: Gram- B. abortus SodC, Gram+ Bacillus anthracis PA, 62317454, or YP_016495.2)
Sequence Format
File Upload
Select Pathogen Organism Type:

Link To: Citing Vaxign-ML:
Ong E, Wang H, Wong MU, Seetharaman M, Valdez N, He Y. Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens. Bioinformatics. 2020 Feb 25. pii: btaa119. doi: 10.1093/bioinformatics/btaa119. PMID: 32096826 [Journal Link]

Link To: Related Vaxign Publications:
1. He Y, Xiang Z, Mobley HLT. Vaxign: the first web-based vaccine design program for reverse vaccinology and an application for vaccine development.J Biomed Biotechnol. 2010;2010:297505. Epub 2010 Jul [PMID:20671958] [Journal Link]
2. Xiang Z, He Y. 2009. Vaxign: a web-based vaccine target design program for reverse vaccinology. Procedia in Vaccinology. Volume 1, Issue 1, Pages 23-29.      
3. Xiang Z, He Y. Genome-wide prediction of vaccine targets for human herpes simplex viruses using Vaxign reverse vaccinology. BMC Bioinformatics. 2013, 14(Suppl 4):S2 (8 March 2013). PMID: 23514126; PMCID: PMC3599071.

Please see the Vaxign Documentation for more information.

Please contact us if you would like to have your favorite genome(s) included in our precomputed Vaxign database. Your suggestions and comments are welcome. Thank you.