Bioinformatics Tools for Pharmaceutical Drug Product Development

11Artificial Intelligence and Machine Learning Applications in Vaccine Development

Ali Sarmadi¹, Majid Hassanzadeganroudsari²* and M. Soltani^1,3†

¹Centre for Biotechnology and Bioengineering (CBB), University of Waterloo, Waterloo, ON, Canada

²Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia

³Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada

Abstract

Artificial Intelligence (AI) is a new branch of computer science that came in to field in the 1950s. Since then, much progress has been made where computers equipped with AI algorithms are capable of aiding humanity in a range of topics. One of the topics that humanity longs to receive help in is definitely medicine. In this chapter, the role of AI applications in monitoring large volumes of data (big data), identifying the patterns, and making predictions about the efficiency and performance of drugs and vaccines have been discussed. Moreover, the important findings and research are explained to reveal the interdisciplinary instinct of this field and draw an evolutionary storyline. This chapter discusses the ways that AI can help with vaccine development. Five major applications of AI in the field of vaccine development are addressed: (a) Prioritizing proteins as vaccine candidates; (b) Predicting binding scores of candidate proteins; (c) Predicting potential epitopes; (d) Design of multi-epitope vaccines; (e) Tracking RNA mutations of a virus. Finally, ...