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

Sammanfattning

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.

Nyckelord

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

Publicerad i

International Reviews of Immunology
2024, volym: 43, nummer: 6, sidor: 361-380
Utgivare: TAYLOR & FRANCIS INC

SLU författare

• Chawade, Aakash

  • Institutionen för växtförädling, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Bioinformatik (beräkningsbiologi)

Publikationens identifierare

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

Permanent länk till denna sida (URI)

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