Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy

Zhejiang Shuren University · Southwest Medical University · +2 more institutions

PubMed
Indexed incrossrefdoajpubmed

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

53
total citations
FWCI
31.89
Percentile
100%
References
190
Citations per year

Authors

10

Topics & keywords

Keywords
  • Cancer immunotherapy
  • Immunotherapy
  • Computational biology
  • Messenger RNA
  • Immune system
  • Cancer vaccine
  • Cancer
  • Biology
No related works found for this paper.

Funding