Xiaoyang Jing

RaptorX-Single predicts protein structures from single sequences using language models and a structure generation module, outperforming MSA-based methods in specific cases.

This paper introduces HybAVPnet, a hybrid network architecture for antiviral peptide identification, showing improved performance over existing methods on independent datasets.

This paper introduces a fast protein model refinement method using graph neural networks, achieving high quality results with limited conformation sampling.

The paper introduces ResNetQA, a deep learning method that improves protein model quality assessment by integrating sequential and pairwise features, outperforming existing methods on CASP12 and CASP13 datasets.