Predicting the mutational drivers of future SARS-CoV-2 variants of concern

Predicting the mutational drivers of future SARS-CoV-2 variants of concern

<jats:p>SARS-CoV-2 evolution threatens vaccine- and natural infection–derived immunity and the efficacy of therapeutic antibodies. To improve public health preparedness, we sought to predict which existing amino acid mutations in SARS-CoV-2 might contribute to future variants of concern. We te...

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Bibliographic Details
Main Authors: Maher, M Cyrus, Bartha, Istvan, Weaver, Steven, di Iulio, Julia, Ferri, Elena, Soriaga, Leah, Lempp, Florian A, Hie, Brian L, Bryson, Bryan, Berger, Bonnie, Robertson, David L, Snell, Gyorgy, Corti, Davide, Virgin, Herbert W, Kosakovsky Pond, Sergei L, Telenti, Amalio
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2022
Online Access:https://hdl.handle.net/1721.1/145610

Internet

https://hdl.handle.net/1721.1/145610

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