Vaxign 2: Web-based Rational Vaccine Design based on Reverse Vaccinology and Machine Learning
Reverse vaccinology (RV) is a technique that allows the prediction of vaccine candidates from a pathogen’s genome enabling the more efficient development of new vaccines and improvements on existing vaccines. Vaxign2 is the second generation of the first web-based vaccine design program leveraging reverse vaccinology with machine learning via Vaxign-ML. Validation benchmarking has shown Vaxign-ML’s superior prediction performance compared to other RV tools. Vaxign2 has also implemented predictive analyses workflows to empower users to quickly refine prediction results based on different vaccine design rationales. A use case is presented with the successful analysis of SARS-CoV-2, the coronavirus that causes COVID-19.



