Antibody complementarity determining region design using high-capacity machine learning

Antibody complementarity determining region design using high-capacity machine learning

Motivation: The precise targeting of antibodies and other protein therapeutics is required for their proper function and the elimination of deleterious off-target effects. Often the molecular structure of a therapeutic target is unknown and randomized methods are used to design antibodies without a...

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Bibliographic Details
Main Authors: Liu, Ge, Zeng, Haoyang, Mueller, Jonas Weylin, Carter, Brandon M., Wang, Ziheng, Schilz, Jonas, Horny, Geraldine, Birnbaum, Michael E, Ewert, Stefan, Gifford, David K
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Oxford University Press (OUP) 2021
Online Access:https://hdl.handle.net/1721.1/129332

Internet

https://hdl.handle.net/1721.1/129332

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