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

IF 4.8 2区 医学 Q2 IMMUNOLOGY Frontiers in Cellular and Infection Microbiology Pub Date : 2025-01-20 eCollection Date: 2024-01-01 DOI:10.3389/fcimb.2024.1501010
Saber Imani, Xiaoyan Li, Keyi Chen, Mazaher Maghsoudloo, Parham Jabbarzadeh Kaboli, Mehrdad Hashemi, Saloomeh Khoushab, Xiaoping Li
{"title":"Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy.","authors":"Saber Imani, Xiaoyan Li, Keyi Chen, Mazaher Maghsoudloo, Parham Jabbarzadeh Kaboli, Mehrdad Hashemi, Saloomeh Khoushab, Xiaoping Li","doi":"10.3389/fcimb.2024.1501010","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":12458,"journal":{"name":"Frontiers in Cellular and Infection Microbiology","volume":"14 ","pages":"1501010"},"PeriodicalIF":4.8000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11788159/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Cellular and Infection Microbiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fcimb.2024.1501010","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于癌症免疫疗法的 mRNA 疫苗设计中的计算生物学和人工智能。
信使RNA (mRNA)疫苗为癌症免疫治疗提供了一个适应性强且可扩展的平台,需要优化设计以引发强大的靶向免疫反应。生物信息学和人工智能(AI)的最新进展显著增强了mRNA疫苗的设计、预测和优化。本文综述了简化mRNA疫苗开发的技术,从基因组测序到脂质纳米颗粒(LNP)配方。我们讨论了新抗原结构的准确预测如何指导有效靶向免疫和癌细胞的mRNA序列的设计。此外,我们研究了人工智能驱动的方法,优化mRNA-LNP配方,提高递送和稳定性。这些技术创新不仅改进了疫苗设计,而且增强了药代动力学和药效学,为个性化癌症免疫治疗提供了有希望的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
7.90
自引率
7.00%
发文量
1817
审稿时长
14 weeks
期刊介绍: Frontiers in Cellular and Infection Microbiology is a leading specialty journal, publishing rigorously peer-reviewed research across all pathogenic microorganisms and their interaction with their hosts. Chief Editor Yousef Abu Kwaik, University of Louisville is supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. Frontiers in Cellular and Infection Microbiology includes research on bacteria, fungi, parasites, viruses, endosymbionts, prions and all microbial pathogens as well as the microbiota and its effect on health and disease in various hosts. The research approaches include molecular microbiology, cellular microbiology, gene regulation, proteomics, signal transduction, pathogenic evolution, genomics, structural biology, and virulence factors as well as model hosts. Areas of research to counteract infectious agents by the host include the host innate and adaptive immune responses as well as metabolic restrictions to various pathogenic microorganisms, vaccine design and development against various pathogenic microorganisms, and the mechanisms of antibiotic resistance and its countermeasures.
期刊最新文献
P. falciparum PEBP protein is dispensable during asexual and sexual stages of development. Carbapenem-resistant Acinetobacter baumannii bloodstream infections and specific phages isolation, analysis and application. Characteristics and outcomes of patients treated with tigecycline for MDR gram-negative infections: a retrospective cohort study. Single-cell RNA sequencing offers novel perspectives in viral infection research. Technological innovations and breakthrough pathways in syphilis diagnosis: addressing global resurgence and the journey toward elimination.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1