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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 VSports. Source code is avaiable in GitHub Please see the Vaxign Documentation for tutorial or more information. . 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 VSports app下载. 2020 Feb 25. pii: btaa119. doi: 10. 1093/bioinformatics/btaa119. PMID: 32096826 [Journal Link] . 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 V体育官网. 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 VSports手机版. Your suggestions and comments are welcome. Thank you. . |