ArticleMethods in molecular biology (Clifton, N.J.)2025
Translating a GO Term List to Human Readable Function Description Using GO2Sum.
Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
Understanding the functions of proteins is one of the most important challenges in modern biology. Typically, protein function prediction methods generate a list of gene ontology (GO) terms, sometimes consisting of 50-100 functional terms. While GO serves the purpose of standardizing terms, interpreting a long list of GO terms is difficult for biologists. To address this challenge, we developed Gene Ontology terms Summarizer (GO2Sum), a language model-based summarizer that takes a list of GO terms as input and converts them into a concise, free-text summary describing the protein's function, subunit structure, and pathway information. GO2Sum was fine-tuned on GO term assignments and free-text function descriptions from UniProt entries. We built a Web server of GO2Sum, which offers an easy use of GO2Sum for biology users.
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Registered trials
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