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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/8838| Synthetic coevolution reveals adaptive mutational trajectories of neutralizing antibodies and SARS-CoV-2 | |
| Joseph Taft Margarita Pertseva Roy A. Ehling Mason Minot Max Daniel Overath Daniel Sheward jiami han Beichen Gao Cédric R. Weber Thomas Bikias Ben Murrell Sai Reddy | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2024.03.28.587189 | |
| https://www.biorxiv.org/content/10.1101/2024.03.28.587189v1 | |
| The Covid-19 pandemic showcases a coevolutionary race between the human immune system and SARS-CoV-2, mirroring the Red Queen hypothesis of evolutionary biology. The immune system generates neutralizing antibodies targeting the SARS-CoV-2 spike protein’s receptor binding domain (RBD), crucial for host cell invasion, while the virus evolves to evade antibody recognition. Here, we establish a synthetic coevolution system combining high-throughput screening of antibody and RBD variant libraries with protein mutagenesis, surface display, and deep sequencing. Additionally, we train a protein language machine learning model that predicts antibody escape to RBD variants. Synthetic coevolution reveals antagonistic and compensatory mutational trajectories of neutralizing antibodies and SARS-CoV-2 variants, enhancing the understanding of this evolutionary conflict. | |
| bioRxiv | |
| 01-04-2024 | |
| Preimpreso | |
| Inglés | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Materiales de Consulta y Comunicados Técnicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| Synthetic coevolution reveals adaptive mutational trajectories of neutralizing antibodies and SARS-CoV-2.pdf | 5.73 MB | Adobe PDF | Visualizar/Abrir |