FLAb: Benchmarking deep learning methods for antibody fitness prediction
Abstract The successful application of machine learning in therapeutic antibody design relies heavily on the ability of models to accurately represent the sequence-structure-function landscape, also known as the fitness landscape. Previous protein bench-marks (including The Critical Assessment of Fu...
I tiakina i:
| Ngā kaituhi matua: | , , |
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| Hōputu: | Pré-impressão |
| Reo: | Ingarihi |
| I whakaputaina: |
2024
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| Urunga tuihono: | https://doi.org/10.1101/2024.01.13.575504 https://www.biorxiv.org/content/biorxiv/early/2024/01/15/2024.01.13.575504.full.pdf |
| Ngā Tūtohu: |
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