Accelerating antibody discovery and optimization with high-throughput experimentation and machine learning

Abstract The integration of high-throughput experimentation and machine learning is transforming data-driven antibody engineering, revolutionizing the discovery and optimization of antibody therapeutics. These approaches employ extensive datasets comprising antibody sequences, structures, and functi...

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Bibliographic Details
Main Authors: Ryo Matsunaga, Kouhei Tsumoto
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Journal of Biomedical Science
Subjects:
Online Access:https://doi.org/10.1186/s12929-025-01141-x
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