AUTHOR=Imani Saber , Li Xiaoyan , Chen Keyi , Maghsoudloo Mazaher , Jabbarzadeh Kaboli Parham , Hashemi Mehrdad , Khoushab Saloomeh , Li Xiaoping TITLE=Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy JOURNAL=Frontiers in Cellular and Infection Microbiology VOLUME=Volume 14 - 2024 YEAR=2025 URL=https://www.frontiersin.org/journals/cellular-and-infection-microbiology/articles/10.3389/fcimb.2024.1501010 DOI=10.3389/fcimb.2024.1501010 ISSN=2235-2988 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 stability. These technological innovations not only improve vaccine design but also enhance pharmacokinetics and pharmacodynamics, offering promising avenues for personalized cancer immunotherapy.