Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy
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 op...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Cellular and Infection Microbiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcimb.2024.1501010/full |
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| _version_ | 1832594102976249856 |
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| author | Saber Imani Xiaoyan Li Keyi Chen Mazaher Maghsoudloo Parham Jabbarzadeh Kaboli Mehrdad Hashemi Mehrdad Hashemi Saloomeh Khoushab Saloomeh Khoushab Xiaoping Li |
| author_facet | Saber Imani Xiaoyan Li Keyi Chen Mazaher Maghsoudloo Parham Jabbarzadeh Kaboli Mehrdad Hashemi Mehrdad Hashemi Saloomeh Khoushab Saloomeh Khoushab Xiaoping Li |
| author_sort | Saber Imani |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d1c85899996b4de59817c79adccbe21c |
| institution | Kabale University |
| issn | 2235-2988 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cellular and Infection Microbiology |
| spelling | doaj-art-d1c85899996b4de59817c79adccbe21c2025-01-20T05:23:48ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882025-01-011410.3389/fcimb.2024.15010101501010Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapySaber Imani0Xiaoyan Li1Keyi Chen2Mazaher Maghsoudloo3Parham Jabbarzadeh Kaboli4Mehrdad Hashemi5Mehrdad Hashemi6Saloomeh Khoushab7Saloomeh Khoushab8Xiaoping Li9Shulan International Medical College, Zhejiang Shuren University, Hangzhou, Zhejiang, ChinaShulan International Medical College, Zhejiang Shuren University, Hangzhou, Zhejiang, ChinaKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, Zhejiang, ChinaKey Laboratory of Epigenetics and Oncology, the Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, Sichuan, ChinaDepartment of Biochemistry, Faculty of Medicine, Medical University of Warsaw, Warsaw, PolandDepartment of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, IranFarhikhtegan Medical Convergence sciences Research Center, Farhikhtegan Hospital Tehran Medical sciences, Islamic Azad University, Tehran, IranDepartment of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, IranFarhikhtegan Medical Convergence sciences Research Center, Farhikhtegan Hospital Tehran Medical sciences, Islamic Azad University, Tehran, IranKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, Zhejiang, ChinaMessenger 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.https://www.frontiersin.org/articles/10.3389/fcimb.2024.1501010/fullneo-antigen mRNA vaccineslipid nanoparticlesbioinformaticsartificial intelligencetargeted immunotherapy |
| spellingShingle | Saber Imani Xiaoyan Li Keyi Chen Mazaher Maghsoudloo Parham Jabbarzadeh Kaboli Mehrdad Hashemi Mehrdad Hashemi Saloomeh Khoushab Saloomeh Khoushab Xiaoping Li Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy Frontiers in Cellular and Infection Microbiology neo-antigen mRNA vaccines lipid nanoparticles bioinformatics artificial intelligence targeted immunotherapy |
| title | Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy |
| title_full | Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy |
| title_fullStr | Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy |
| title_full_unstemmed | Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy |
| title_short | Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy |
| title_sort | computational biology and artificial intelligence in mrna vaccine design for cancer immunotherapy |
| topic | neo-antigen mRNA vaccines lipid nanoparticles bioinformatics artificial intelligence targeted immunotherapy |
| url | https://www.frontiersin.org/articles/10.3389/fcimb.2024.1501010/full |
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