Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes.
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| Title: | Epistatic models predict mutable sites in SARS-CoV-2 proteins and epitopes. |
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| Authors: | Rodriguez-Rivas J; CNRS, Institut de Biologie Paris Seine, Laboratory of Computational and Quantitative Biology, Sorbonne Université, 75005 Paris, France., Croce G; Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne, 1011 Lausanne, Switzerland.; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland., Muscat M; CNRS, Institut de Biologie Paris Seine, Laboratory of Computational and Quantitative Biology, Sorbonne Université, 75005 Paris, France., Weigt M; CNRS, Institut de Biologie Paris Seine, Laboratory of Computational and Quantitative Biology, Sorbonne Université, 75005 Paris, France; martin.weigt@sorbonne-universite.fr. |
| Source: | Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2022 Jan 25; Vol. 119 (4). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1091-6490 |
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| DOI: | 10.1073/pnas.2113118119 |
