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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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Translating a GO Term List to Human Readable Function Description Using GO2Sum

  • 实验方案

  • 发表日期：

    2025年

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  • Swagarika J. Giri,
  • Udayan Pandey,
  • Joon Hong Park,
  • Daisuke Kihara

摘要

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.