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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.
Biorxiv : the Preprint Server for Biology
|November 21, 2023
Summary
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.
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.
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