Dataset for "A Comparative Review of Deep Learning Methods for RNA Tertiary Structure Prediction"

Datasets used in "A Comparative Review of Deep Learning Methods for RNA Tertiary Structure Prediction".

The provided zip file contains:

Datasets 1–3: 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.

Dataset 4: A text file listing the PDB IDs of RNAs included in this dataset, which is a subset of Dataset 3.

Dataset complexes: 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.

The structure of the dataset and details of each folder are explained in the included README file.