SGNet: Folding Symmetrical Protein Complex with Deep Learning

The SGNet dataset is a benchmark for symmetrical protein complex structure prediction. It contains a set of symmetrical protein complexes with different symmetry types (C, D, T, O, I). The dataset is used to evaluate the performance of the SGNet model in predicting symmetrical protein complex structures.