Vaccine design and development: Exploring the interface with computational biology and AI

Abstract

Computational biology involves applying computer science and informatics techniques in biology to understand complex biological data. It allows us to collect, connect, and analyze biological data at a large scale and build predictive models. In the twenty first century, computational resources along with Artificial Intelligence (AI) have been widely used in various fields of biological sciences such as biochemistry, structural biology, immunology, microbiology, and genomics to handle massive data for decision-making, including in applications such as drug design and vaccine development, one of the major areas of focus for human and animal welfare. The knowledge of available computational resources and AI-enabled tools in vaccine design and development can improve our ability to conduct cutting-edge research. Therefore, this review article aims to summarize important computational resources and AI-based tools. Further, the article discusses the various applications and limitations of AI tools in vaccine development.

Keywords

Artificial intelligence; clinical trials; computational biology; future vaccines; immunoinformatics; machine learning; vaccine design and development

Published in

International Reviews of Immunology
2024, volume: 43, number: 6, pages: 361-380
Publisher: TAYLOR & FRANCIS INC

SLU Authors

• Chawade, Aakash

  • Department of Plant Breeding, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Bioinformatics (Computational Biology)

Publication identifier

• DOI: https://doi.org/10.1080/08830185.2024.2374546

Permanent link to this page (URI)

https://res.slu.se/id/publ/131379