Optimizing Antibody Affinity and Developability Using a Framework–CDR Shuffling Approach—Application to an Anti-SARS-CoV-2 Antibody

The computational methods used for engineering antibodies for clinical development have undergone a transformation from three-dimensional structure-guided approaches to artificial-intelligence- and machine-learning-based approaches that leverage the large sequence data space of hundreds of millions...

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Detalles Bibliográficos
Autores principales: Gopal, Ranjani, Fitzpatrick, Emmett, Pentakota, Niharika, Jayaraman, Akila, Tharakaraman, Kannan, Capila, Ishan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784564/
https://www.ncbi.nlm.nih.gov/pubmed/36560698
http://dx.doi.org/10.3390/v14122694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784564/
https://www.ncbi.nlm.nih.gov/pubmed/36560698
http://dx.doi.org/10.3390/v14122694

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