AIVE: accurate predictions of SARS-CoV-2 infectivity from comprehensive analysis
Jongkeun Park, Won Jong Choi, Do Young Seong, Seung Pil Jeong, Ju Young Lee, Hyo Jeong Park, Dae Sun Chung, Ki Jong Yi, Uijin Kim, Ga‐Yeon Yoon, Hye Ran Kim, Taehoon Kim, Sooyeon Go, Eun Jeong Min, Hyun‐Soo Cho, , Dongwan Hong
This study identifies amino acid substitutions linked to SARS-CoV-2 infectivity and develops AIVE, a web tool for predicting infectivity based on mutations.
eLife · Dec 24, 2024Peer-reviewedGenomics