Experiment data used in DeepHelicon

The data is for the paper titled DeepHelicon: accurate prediction of inter-helical residue contacts in transmembrane protein by residual neural networks.<br> It contains four sub-folders as follows:<br> 1. Fasta: protein sequences of TRAIN, PREVIOUS, TEST.<br> 2. PDB: protein native structures of TRAIN, PREVIOUS, TEST.<br> 3. Predictions: contact predictions of PREVIOUS and TEST, which are predicted by contact prediction methods mentioned in DeepHelicon paper.<br> 4. 3D modelling: 3D models are generated by CONFOLD2 and guided by residue contacts predicted by DeepHelicon and DeepMetaPSICOV and guided by secondary structures predicted by SCRATCH1D.