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

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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Bibliographic Details
Main Authors: Ranjani Gopal, Emmett Fitzpatrick, Niharika Pentakota, Akila Jayaraman, Kannan Tharakaraman, Ishan Capila
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Viruses
Subjects:
antibody
framework
CDR
affinity
SARS-CoV-2
COVID-19
Online Access:https://www.mdpi.com/1999-4915/14/12/2694

Internet

https://www.mdpi.com/1999-4915/14/12/2694

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