Autor: |
Xun Chen, Matteo Gentili, Nir Hacohen, Aviv Regev |
Jazyk: |
angličtina |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021) |
Druh dokumentu: |
article |
ISSN: |
2041-1723 |
DOI: |
10.1038/s41467-021-25777-z |
Popis: |
Faster, higher throughput antibody engineering methods are needed. Here the authors present CeVICA, a cell-free nanobody engineering platform using ribosome display and computational clustering analysis for in vitro selection; they use this to develop nanobodies against the RBD of SARS-CoV-2 spike protein. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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