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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| 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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