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ChatGPT usage in the Reactome curation process.

Krishna Tiwari1,2, Lisa Matthews3, Bruce May4

  • 1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK.

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|November 21, 2023
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Summary
This summary is machine-generated.

Generative AI, like ChatGPT, shows promise for automating biological pathway data collection and annotation in Reactome curation. This study explored its efficiency and challenges, aiming for improved protein-to-pathway associations.

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Area of Science:

  • Bioinformatics
  • Artificial Intelligence in Biology
  • Pathway Curation

Background:

  • Generative AI, including ChatGPT, is rapidly advancing.
  • Manual data collection and annotation in biological pathway curation is labor-intensive.
  • Reactome is a vital resource for pathway information.

Conclusions:

  • Generative AI, specifically ChatGPT, offers potential for streamlining Reactome curation.
  • Semi-automated frameworks can improve efficiency and protein-to-pathway association.
  • Further refinement and validation are necessary for robust AI integration in biological data curation.