Coarse-tuning to improve a protein foundation model for a domain of proteins: the example of outer membrane beta barrels
Foundation models for proteins have shown great potential in addressing a wide range of challenges in computational molecular biology. State-of-the-art models are trained on large and diverse corpora of protein sequences, enabled by self-supervised training. The models are then used in transfer learning and the embeddings they calculate are used in supervised downstream tasks. We propose a novel…
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