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Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514701/ https://www.ncbi.nlm.nih.gov/pubmed/36167982 http://dx.doi.org/10.1038/s41422-022-00727-6 |
| _version_ | 1784798336040042496 |
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| author | Lou, Hantao Zheng, Jianqing Fang, Xiaohang (Leo) Liang, Zhu Zhang, Meihan Chen, Yu Wang, Chunmei Cao, Xuetao |
| author_facet | Lou, Hantao Zheng, Jianqing Fang, Xiaohang (Leo) Liang, Zhu Zhang, Meihan Chen, Yu Wang, Chunmei Cao, Xuetao |
| author_sort | Lou, Hantao |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9514701 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Springer Nature Singapore |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-95147012022-09-28 Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant Lou, Hantao Zheng, Jianqing Fang, Xiaohang (Leo) Liang, Zhu Zhang, Meihan Chen, Yu Wang, Chunmei Cao, Xuetao Cell Res Letter to the Editor Springer Nature Singapore 2022-09-27 2023-01 /pmc/articles/PMC9514701/ /pubmed/36167982 http://dx.doi.org/10.1038/s41422-022-00727-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Letter to the Editor Lou, Hantao Zheng, Jianqing Fang, Xiaohang (Leo) Liang, Zhu Zhang, Meihan Chen, Yu Wang, Chunmei Cao, Xuetao Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant |
| title | Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant |
| title_full | Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant |
| title_fullStr | Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant |
| title_full_unstemmed | Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant |
| title_short | Deep learning-based rapid generation of broadly reactive antibodies against SARS-CoV-2 and its Omicron variant |
| title_sort | deep learning-based rapid generation of broadly reactive antibodies against sars-cov-2 and its omicron variant |
| topic | Letter to the Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514701/ https://www.ncbi.nlm.nih.gov/pubmed/36167982 http://dx.doi.org/10.1038/s41422-022-00727-6 |
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