FRET is a powerful technique for studying intrinsically disordered proteins (IDPs), yet FRET data are scattered across repositories and lack standardisation. This project will build the first FAIR-compliant central registry for IDP-FRET datasets and define MIADE-FRET, a minimum information standard for reporting these experiments. Together, they create a robust ecosystem for reusable structural data, enabling large-scale meta-analysis and training data for advanced computational models.
Predicted outcomes:
- Central, FAIR-compliant public registry for IDP-FRET datasets
- MIADE-FRET community reporting standard
- Enhanced reproducibility and cross-study comparability
- High-quality datasets for ML model development
- Seamless integration with DisProt, MobiDB and PED, with long-term sustainability through ELIXIR Italy hosting
Duration:
2026 to 2027
