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Vaccine Design by Reverse Vaccinology and Machine Learning
- Source :
- Methods in Molecular Biology ISBN: 9781071618998
- Publication Year :
- 2021
- Publisher :
- Springer US, 2021.
-
Abstract
- Reverse vaccinology (RV) is the state-of-the-art vaccine development strategy that starts with predicting vaccine antigens by bioinformatics analysis of the whole genome of a pathogen of interest. Vaxign is the first web-based RV vaccine prediction method based on calculating and filtering different criteria of proteins. Vaxign-ML is a new Vaxign machine learning (ML) method that predicts vaccine antigens based on extreme gradient boosting with the advance of new technologies and cumulation of protective antigen data. Using a benchmark dataset, Vaxign-ML showed superior performance in comparison to existing open-source RV tools. Vaxign-ML is also implemented within the web-based Vaxign platform to support easy and intuitive access. Vaxign-ML is also available as a command-based software package for more advanced and customizable vaccine antigen prediction. Both Vaxign and Vaxign-ML have been applied to predict SARS-CoV-2 (cause of COVID-19) and Brucella vaccine antigens to demonstrate the integrative approach to analyze and select vaccine candidates using the Vaxign platform.
- Subjects :
- Brucella Vaccine
Coronavirus disease 2019 (COVID-19)
Bioinformatics analysis
Computer science
business.industry
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Reverse vaccinology
Vaccine antigen
Machine learning
computer.software_genre
Protective antigen
Artificial intelligence
Extreme gradient boosting
business
computer
Subjects
Details
- ISBN :
- 978-1-07-161899-8
- ISBNs :
- 9781071618998
- Database :
- OpenAIRE
- Journal :
- Methods in Molecular Biology ISBN: 9781071618998
- Accession number :
- edsair.doi...........bf21807c31800526e3e396e075759f00