VirEvol platform:accurate prediction and visualization of SARS-CoV-2 evolutionary trajectory based on protein language model, structural information and immunological recognition mechanism
Xincheng Zeng, Linghao Zhang, Zhenyu Ning, Yusong Qiu, Ruobing Dong, Xiangyi Li, Lijun Lv, Hanlin Xu, Yanjing Wang, Buyong Ma
This paper introduces VirEvol, a platform that predicts and visualizes SARS-CoV-2 evolutionary trends using a protein language model, structural data, and immunological insights, achieving 93% accuracy in identifying high-risk strains.
bioRxiv · Sep 15, 2023 · PreprintBioinformatics