Language Models Predict Drug Resistance from Complex Sequence Variation
Mutation in viruses and bacteria presents a major barrier to the development of vaccines, antiviral drugs, and antibiotics. Recently, neural language models trained on viral protein sequence evolution have shown promise in their ability to predict viral escape mutations, potentially enabling more in...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139217 |