WU Jingcheng, CHEN Shuqing, ZHOU Zhan. Advances in Tumor Neoantigen Prediction Methods[J]. Chinese Journal of Modern Applied Pharmacy, 2022, 39(21): 2879-2886. DOI: 10.13748/j.cnki.issn1007-7693.2022.21.026
    Citation: WU Jingcheng, CHEN Shuqing, ZHOU Zhan. Advances in Tumor Neoantigen Prediction Methods[J]. Chinese Journal of Modern Applied Pharmacy, 2022, 39(21): 2879-2886. DOI: 10.13748/j.cnki.issn1007-7693.2022.21.026

    Advances in Tumor Neoantigen Prediction Methods

    • Neoantigen is tumor specific antigen and a promising target for tumor immunotherapy. However, due to the complex physiological process of neoantigen generating and stimulating T cell response, it’s still a huge challenge to discover and identify neoantigen efficiently. With the accumulation of tumor immunogenomics data and the in-depth study of artificial intelligence prediction methods, researchers could take advantage of artificial intelligence algorithms for neoantigen prediction methods, laying a solid foundation for tumor immunotherapy based on neoantigens. The research reviewed the advances in tumor neoantigen prediction methods for antigen processing and presenting, as well as antigen recognition by T cells.
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