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Deep generative models to generate hypothetical SARS-CoV-2 spike sequences

Scientists explore the use of deep generative models in producing complete instances of as-yet undiscovered SARS-CoV2 Spike protein sequences. The resulting models substantially outperform a state-of-the-art generative model for protein sequences finetuned on SARS-CoV2 data.
Sanchari Sinha Dutta Global Initiative On Sharing All Influenza Data University Of Illinois At Urbana Champaign Image Credit Large Language Models Language Models

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