TEMPO: A transformer-based mutation prediction framework for SARS-CoV-2 evolution

• Main Authors: Zhou, Binbin, Zhou, Hang, Zhang, Xue, Xu, Xiaobin, Chai, Yi, Zheng, Zengwei, Kot, Alex Chichung, Zhou, Zhan
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; SARS-CoV-2; Viral Evolution
• Online Access: https://hdl.handle.net/10356/170638
• Institution: Nanyang Technological University

The widespread of SARS-CoV-2 presents a significant threat to human society, as well as public health and economic development. Extensive efforts have been undertaken to battle against the pandemic, whereas effective approaches such as vaccination would be weakened by the continuous mutations, leadi...