Article
DeepHLApan: A Deep Learning Approach for Neoantigen Prediction Considering Both HLA-Peptide Binding and Immunogenicity.
Frontiers in immunology - 1 Jan 2019
Wu Jingcheng, Wang Wenzhe, Zhang Jiucheng, Zhou Binbin, Zhao Wenyi, Su Zhixi, Gu Xun, Wu Jian, Zhou Zhan, Chen Shuqing
Abstract excerpt
Neoantigens play important roles in cancer immunotherapy. Current methods used for neoantigen prediction focus on the binding between human leukocyte antigens (HLAs) and peptides, which is insufficient for high-confidence neoantigen prediction. In this study, we apply deep learning techniques to predict neoantigens considering both the possibility of HLA-peptide binding (binding model) and the potential...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
