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

被引：1

作者：

Imani, Saber ^{[1
]}

Li, Xiaoyan ^{[1
]}

Chen, Keyi ^{[2
]}

Maghsoudloo, Mazaher ^{[3
]}

Kaboli, Parham Jabbarzadeh ^{[4
]}

Hashemi, Mehrdad ^{[5
,6
]}

Khoushab, Saloomeh ^{[5
,6
]}

Li, Xiaoping ^{[2
]}

机构：

[1] Zhejiang Shuren Univ, Shulan Int Med Coll, Hangzhou, Zhejiang, Peoples R China

[2] Zhejiang Shuren Univ, Shulan Int Med Coll, Key Lab Artificial Organs & Computat Med Zhejiang, Hangzhou, Zhejiang, Peoples R China

[3] Southwest Med Univ, Res Ctr Preclin Med, Key Lab Epigenet & Oncol, Luzhou, Sichuan, Peoples R China

[4] Med Univ Warsaw, Fac Med, Dept Biochem, Warsaw, Poland

[5] Islamic Azad Univ, Fac Adv Sci & Technol, Dept Genet, Tehran Med Sci, Tehran, Iran

[6] Islamic Azad Univ, Farhikhtegan Hosp Tehran Med Sci, Farhikhtegan Med Convergence Sci Res Ctr, Tehran, Iran

来源：

FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY | 2025年 / 14卷

关键词：

neo-antigen mRNA vaccines; lipid nanoparticles; bioinformatics; artificial intelligence; targeted immunotherapy; STRUCTURE PREDICTION; MOLECULAR-DYNAMICS; LIPID NANOPARTICLES; EPITOPE PREDICTION; GENE-EXPRESSION; EXPERIMENTS DOE; SEQUENCE; TRANSLATION; DATABASE; VISUALIZATION;

D O I：

10.3389/fcimb.2024.1501010

中图分类号：

R392 [医学免疫学]; Q939.91 [免疫学];

学科分类号：

100102 ;

摘要：

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.

引用

页数：23

共 50 条

[31] Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine [J].

Adir, Omer ;

Poley, Maria ;

Chen, Gal ;

Froim, Sahar ;

Krinsky, Nitzan ;

Shklover, Jeny ;

Shainsky-Roitman, Janna ;

Lammers, Twan ;

Schroeder, Avi .

ADVANCED MATERIALS, 2020, 32 (13)

[32] Computational Radiology in Breast Cancer Screening and Diagnosis Using Artificial Intelligence [J].

Tran, William T. ;

Sadeghi-Naini, Ali ;

Lu, Fang-, I ;

Gandhi, Sonal ;

Meti, Nicholas ;

Brackstone, Muriel ;

Rakovitch, Eileen ;

Curpen, Belinda .

CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES, 2021, 72 (01) :98-108

[33] Artificial intelligence for biology and agriculture - Preface [J].

Panigrahi, S ;

Ting, KC .

ARTIFICIAL INTELLIGENCE REVIEW, 1998, 12 (1-3) :9-10

[34] From Algebraic Biology to Artificial Intelligence [J].

Tolokonnikov, Georgy K. ;

Petoukhov, Sergey, V .

ADVANCES IN INTELLIGENT SYSTEMS, COMPUTER SCIENCE AND DIGITAL ECONOMICS, 2020, 1127 :86-95

[35] Artificial Intelligence Technology Assists Enzyme Prediction and Rational Design [J].

Wang, Yuhang ;

Han, Shuangxin ;

Wang, Yi ;

Liang, Quanfeng ;

Luo, Wei .

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2025, :7065-7073

[36] Design of novel orotransmucosal vaccine-delivery platforms using artificial intelligence [J].

Rio, Lorena Garcia-del ;

Diaz-Rodriguez, Patricia ;

Landin, Mariana .

EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS, 2021, 159 :36-43

[37] Integration of Artificial Intelligence and CRISPR/Cas9 System for Vaccine Design [J].

Maserat, Elham .

CANCER INFORMATICS, 2022, 21

[38] Artificial intelligence in computational materials science [J].

Heather J. Kulik ;

Pratyush Tiwary .

MRS Bulletin, 2022, 47 :927-929

[39] Cancer computational biology [J].

Yakhini, Zohar ;

Jurisica, Igor .

BMC BIOINFORMATICS, 2011, 12

[40] Artificial intelligence in computational materials science [J].

Kulik, Heather J. ;

Tiwary, Pratyush .

MRS BULLETIN, 2022, 47 (09) :927-929

← 1 2 3 4 5 →