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  # ESM-2 for Predicting Binding Sites
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  This is the 650M parameter version of ESM-2, finetuned with QLoRA to predict binding sites of proteins based on single sequences alone.
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- No multiple sequence alignement is required. The embeddings from this model can also be used in structural models. The model is trained on
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- approximately 12M protein sequences, with an 80/20 train/test split.
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  ## Using the Model
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  # ESM-2 for Predicting Binding Sites
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  This is the 650M parameter version of ESM-2, finetuned with QLoRA to predict binding sites of proteins based on single sequences alone.
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+ No multiple sequence alignment or structure is required. The embeddings from this model can also be used in structural models. The model is trained on
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+ approximately 12M protein sequences from UniProt, with an 80/20 train/test split.
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  ## Using the Model
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