Learning from pre-pandemic data to forecast viral escape
N. N. Thadani, S. Gurev, P. Notin, N. Youssef, N. J. Rollins, C. Sander, Y. Gal, D. Marks
This paper develops EVEscape, a framework predicting viral escape mutations using historical data and structural information, showing it can forecast SARS-CoV-2 variants as effectively as experimental methods.
bioRxiv · Jul 21, 2022Immunology