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An Evolutionary-scale Model (ESM) for protein function prediction from amino acid sequences using the Gene Ontology (GO). Based on the ESM2 Transformer architecture, pre-trained on [UniRef50](https://www.uniprot.org/help/uniref), and fine-tuned on the [AmiGO](https://huggingface.co/datasets/andrewdalpino/AmiGO) dataset, this model predicts the GO subgraph for a particular protein sequence - giving you insight into the molecular function, biological process, and location of the activity inside the cell.
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## What are GO terms?
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> "The Gene Ontology (GO) is a concept hierarchy that describes the biological function of genes and gene products at different levels of abstraction (Ashburner et al., 2000). It is a good model to describe the multi-faceted nature of protein function."
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An Evolutionary-scale Model (ESM) for protein function prediction from amino acid sequences using the Gene Ontology (GO). Based on the ESM2 Transformer architecture, pre-trained on [UniRef50](https://www.uniprot.org/help/uniref), and fine-tuned on the [AmiGO](https://huggingface.co/datasets/andrewdalpino/AmiGO) dataset, this model predicts the GO subgraph for a particular protein sequence - giving you insight into the molecular function, biological process, and location of the activity inside the cell.
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> **Note**: This version only models the `molecular function` subgraph of the gene ontology.
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## What are GO terms?
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> "The Gene Ontology (GO) is a concept hierarchy that describes the biological function of genes and gene products at different levels of abstraction (Ashburner et al., 2000). It is a good model to describe the multi-faceted nature of protein function."
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