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".
It contains four sub-folders as follows:
1. Fasta: the protein sequences in the TRAIN, PREVIOUS, and TEST datasets, respectively.
2. PDB: the protein native structures in the TRAIN, PREVIOUS, and TEST datasets, respectively.
3. Predictions: the contact predictions on the PREVIOUS and TEST datasets, which are predicted by the contact prediction methods mentioned in the DeepHelicon paper.
4. 3D modelling: the 3D models, which are guided by the secondary structures predicted by SCRATCH1D and guided by the residue contacts predicted by DeepHelicon and DeepMetaPSICOV, respectively, are finally generated by CONFOLD2.

本数据集配套论文题为《DeepHelicon：基于残差神经网络精准预测跨膜蛋白螺旋间残基接触》。
本数据集包含如下四个子文件夹：
1. FASTA文件夹：分别存放训练集（TRAIN）、旧数据集（PREVIOUS）与测试集（TEST）对应的蛋白质序列。
2. PDB文件夹：分别存放训练集（TRAIN）、旧数据集（PREVIOUS）与测试集（TEST）对应的蛋白质天然结构。
3. Predictions文件夹：包含DeepHelicon论文中提及的残基接触预测方法，针对旧数据集（PREVIOUS）与测试集（TEST）生成的接触预测结果。
4. 3D modelling（三维建模）文件夹：最终由CONFOLD2生成两类三维结构模型：一类以SCRATCH1D预测的二级结构为指导构建，另一类则分别以DeepHelicon与DeepMetaPSICOV预测的残基接触信息为指导构建。