Learning the Language of Antibody Hypervariability Through Biological Property Prediction
Machine learning-based protein language models (PLMs) have proven to be successful in a variety of structure and function-prediction contexts. However, foundational PLMs (those trained on the corpus of all proteins) rely on evolutionary co-conservation of protein sub-sequences, but this distribution...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/151427 |