Advances in artificial intelligence-driven neoantigen prediction algorithm
LI Qian
WANG Xue
JIN Xiang-wan-er
KOU Ya-zhen
HUANG Ying
HE Wu
Abstract：Neoantigen is a special tumor specific antigen produced by nonsynonymous gene mutations,gene rearrangements,and abnormal post-translational modifications in tumor cells.Because it is only expressed in tumor cells and has strong tumor cell targeting and immunogenicity,it is considered to be an ideal target for tumor immunotherapy.Neoantigen prediction algorithm based on artificial intelligence has its own particularity,and its accompanying regulatory issues have become the focus of attention in the field of international drug regulation.Based on the research progress in artificial intelligence in recent years,this paper systematically reviews the method evolution,existing challenges and future development trends of machine learning models and deep learning models for tumor neoantigen prediction,in order to provide insights for pharmaceutical research and regulation of neoantigen products.
Keywords：neoantigenimmunotherapyartificial intelligenceprediction algorithmregulatory considerations
Publication Date：2025-12-30
Online Publishing Date：2026-08-14(First online date of this platform, not the publication date of the document)
Pages：9( 2589-2597 )