Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy
Zhejiang Shuren University · Southwest Medical University · +2 more institutions
Abstract
Messenger RNA (mRNA) vaccines offer an adaptable and scalable platform for cancer immunotherapy, requiring optimal design to elicit a robust and targeted immune response. Recent advancements in bioinformatics and artificial intelligence (AI) have significantly enhanced the design, prediction, and optimization of mRNA vaccines. This paper reviews technologies that streamline mRNA vaccine development, from genomic sequencing to lipid nanoparticle (LNP) formulation. We discuss how accurate predictions of neoantigen structures guide the design of mRNA sequences that effectively target immune and cancer cells. Furthermore, we examine AI-driven approaches that optimize mRNA-LNP formulations, enhancing delivery and…
Citation impact
- FWCI
- 31.89
- Percentile
- 100%
- References
- 190
Authors
10Topics & keywords
- Cancer immunotherapy
- Immunotherapy
- Computational biology
- Messenger RNA
- Immune system
- Cancer vaccine
- Cancer
- Biology