Dataset for "A Comparative Review of Deep Learning Methods for RNA Tertiary Structure Prediction"
<p>Datasets used in "A Comparative Review of Deep Learning Methods for RNA Tertiary Structure Prediction".</p> <p>The provided zip file contains:</p> <ul> <li><strong>Datasets 1–3:</strong> For each dataset, directories include input sequences (FASTA), multiple sequence alignments (MSAs in AFA format), and normalized predicted structures from six deep learning tools. Dataset 3 also contains references - RNA chains extracted from complexes. These folders also include a CSV file with all metrics for all RNAs and tools.</li> <li><strong>Dataset 4:</strong> A text file listing the PDB IDs of RNAs included in this dataset, which is a subset of Dataset 3.</li> <li><strong>Dataset complexes:</strong> RNA chains extracted from predicted complexes, where predictions are made by AlphaFold 3 web server and, in some cases, RoseTTAFoldNA. There are also job files for the AlphaFold 3 web server used to obtain these predictions. Same as for previous datasets, this folder also includes a CSV file with all metrics for these RNA chains.</li> </ul> <p>The structure of the dataset and details of each folder are explained in the included README file.</p> <p> </p>
ShareScore
36/100
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
- 0