TEPCAM: Prediction of T-cell receptor-epitope binding specificity via interpretable deep learning.

导出 OA

翻译打印收藏纠错

第一作者： Junwei,Chen

第一单位： State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.

作者： Junwei,Chen ^[1] ; Bowen,Zhao ^[1] ; Shenggeng,Lin ^[1] ; Heqi,Sun ^[1] ; Xueying,Mao ^[1] ; Meng,Wang ^[2] ; Yanyi,Chu ^[3] ; Liang,Hong ^[4] ; Dong-Qing,Wei ^[1] ; Min,Li ^[2] ; Yi,Xiong ^[5]

作者单位： State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China. ^[1] Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China. ^[2] Department of Pathology, Stanford University School of Medicine, Standford, California, USA. ^[3] Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China.;Artificial Intelligence Biomedical Center, Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong University, Shanghai, China. ^[4] State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.;Artificial Intelligence Biomedical Center, Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong University, Shanghai, China. ^[5]

关键词 TCR-epitope binding specificity convolution cross-attention deep learning model interpretability

主题词 T淋巴细胞(T-Lymphocytes);受体, 抗原, T细胞(Receptors, Antigen, T-Cell);蛋白质结合(Protein Binding);表位, T淋巴细胞(Epitopes, T-Lymphocyte)

DOI 10.1002/pro.4841

PMID 37983648

发布时间 2025-01-04

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交