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Applications of artificial intelligence to lipid nanoparticle delivery

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Lipid nanoparticles(LNPs)are nanocarriers composed of four lipid components and can be used for gene therapy,protein replacement,and vaccine development.However,LNPs also face several challenges,such as toxicity,immune activation,and low delivery efficiency.To overcome these challenges,artificial intelligence can be used to optimize the design and formulation of LNPs,as well as to predict their properties and performance.Moreover,antibody-targeted conjugation can be used to enhance the specificity and selectivity of LNPs by attaching an antibody that recognizes a specific antigen on the cell surface to LNPs.

Artificial intelligenceLipid nanoparticlesAntibodyTargeted conjugation

Ye Yuan、Yuqi Wu、Jiabei Cheng、Kaiyuan Yang、Yilin Xia、Hongguang Wu、Xiaoyong Pan

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Institute of Image Processing and Pattern Recognition,Shanghai Jiao Tong University,Key Laboratory of System Control and Information Processing,Ministry of Education of China,China

Songjiang Research Institute,Songjiang District Central Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai,China

2024

颗粒学报(英文版)
中国颗粒学会 中国科学院过程工程研究所

颗粒学报(英文版)

CSTPCD
影响因子:0.632
ISSN:1674-2001
年,卷(期):2024.90(7)