Vaxign: The First Web-Based Vaccine Design Program for Reverse Vaccinology and Applications for Vaccine Development

By Yongqun Oliver He, Zuoshuang Xiang, H. Mobley. Journal of Biomedicine and Biotechnology, 2010

326 citations recorded by the source corpus.

Vaxign is the first web-based vaccine design system that predicts vaccine targets based on genome sequences using the strategy of reverse vaccinology. Predicted features in the Vaxign pipeline include protein subcellular location, transmembrane helices, adhesin probability, conservation to human and/or mouse proteins, sequence exclusion from genome(s) of nonpathogenic strain(s), and epitope binding to MHC class I and class II. The precomputed Vaxign database contains prediction of vaccine targets for >70 genomes. Vaxign also performs dynamic vaccine target prediction based on input sequences. To demonstrate the utility of this program, the vaccine candidates against uropathogenic Escherichia coli (UPEC) were predicted using Vaxign and compared with various experimental studies. Our results indicate that Vaxign is an accurate and efficient vaccine design program.

Subfields: Epidemiology, Immunology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/7b146bc88f310d668e035b9e477752527d525044

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In Molecular Biology

1. Yongqun Oliver He
2. Anthony Huffman
3. Mei U. Wong
4. Edison Ong

Citations in the corpus

• COVID-19 coronavirus vaccine design using reverse vaccinology and machine learning (2020, methodology): “Among current RV prediction tools (14, 15), Vaxign is the first web-based RV program (16) and has been used to predict vaccine candidates against different bacterial and viral pathogens (17–19).”
• VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology (2017, methodology): “These tools are widely available online [12 – 14], but only a handful of softwares and pipelines, like NERVE and Vacceed [15, 16], are accessible as full packages.”