Prediction of high-performing spleen-targeted lipid nanoparticles using a deep learning model for robust anticancer immunotherapy

作者：Honglei Zhang, Jingxuan Ma, Fulu Pan, Yangjian Liu, Man Zhang, Yuqing Li, Chao Zhang, Huajie Huang, Wannian Zhang, Donghui Xiu, Wei Zhang, Gengshen Song · 发表于：Journal of Materials Chemistry B · 年份：2025 · DOI：10.1039/d5tb01217a · 被引用次数：5 · 研究领域：SARS-CoV-2 and COVID-19 Research、Immunotherapy and Immune Responses、RNA Interference and Gene Delivery

T cell response in the spleen, outperforming clinically approved SM-102 and Dlin-MC3-DMA. Additionally, we demonstrated that YK-407 LNPs exhibited minimal toxicity for both the liver and spleen, with no significant inflammatory cytokine release. These findings highlight the potential of AI in LNP development and YK-407 holds great promise for applications in mRNA-based treatments.