Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
Although the therapeutic efficacy and commercial success of monoclonal antibodies (mAbs) are tremendous, the design and discovery of new candidates remain a time and cost-intensive endeavor. In this regard, progress in the generation of data describing antigen binding and developability, computation...
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| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Book |
| Published: |
Taylor & Francis Group,
2022-12-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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