Protein structure model predictions for secreted fungal proteins
<p><strong>Dataset A - Alphafold2 prediction output data for 753 secreted proteins of <em>Rhizophagus irregularis </em>DAOM197198</strong>. Gene IDs are taken from the annotation by Yildirir et al. 2021, <a href="https://doi.org/10.1111/nph.17842">doi.org/10.1111/nph.17842</a></p> <p><strong>Dataset B - Alphafold2 prediction output data for 10 fungal effectors.</strong><strong> </strong>These are nine effectors from <em>Fusarium oxysporum</em> f. sp.<em> lycopersici</em> and RiSLM from <em>Rhizophagus irregularis</em> as well as their amino acid sequences. Signal peptides and sequences preceding a predicted Kex2 processing site were removed.</p> <p><strong>Dataset C - Alphafold2 prediction output data for 454 matches of a MycFOLD-HMM search</strong> across the Mycocosm genome database (<a href="https://mycocosm.jgi.doe.gov/mycocosm/home">https://mycocosm.jgi.doe.gov/mycocosm/home</a>) and 36 Glomeromycotina fungal genomes.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4