Identifying T cell antigen at the atomic level with graph convolutional network

Identifying T cell antigen at the atomic level with graph convolutional network

Abstract Precise identification of T cell antigens in silico is crucial for the development of cancer mRNA vaccines. However, current computational methods only utilize sequence-level rather than atomic level features to identify T cell antigens, which results in poor representation of those that ac...

Full description

Saved in:
Bibliographic Details
Main Authors: Jinhao Que, Guangfu Xue, Tao Wang, Xiyun Jin, Zuxiang Wang, Yideng Cai, Wenyi Yang, Meng Luo, Qian Ding, Jinwei Zhang, Yilin Wang, Yuexin Yang, Fenglan Pang, Yi Hui, Zheng Wei, Jun Xiong, Shouping Xu, Yi Lin, Haoxiu Sun, Pingping Wang, Zhaochun Xu, Qinghua Jiang
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-60461-6
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items