ABAG-docking benchmark: a non-redundant structure benchmark dataset for antibody–antigen computational docking

BDM: An Assessment Metric for Protein Complex Structure Models Based on Distance Difference Matrix

Interferon-inducedtransmembrane protein-1 competitively blocks Ephrin receptor A2-mediated Epstein-Barr virus entryinto epithelial cells

DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein

Nan Zhao, Maji Zhuo, Kun Tian, Xinqi Gong*. Protein-protein interaction and non-interaction predictions using gene sequence natural vector.

Xinghen Yu, Xinqi Gong*, Hao Jiang*. Heterogeneous multiple kernel learning for breast cancer outcome evaluation.

Daiwen Sun, Xinqi Gong*. Tetramer protein complex interface residue pairs prediction with LSTM combined with graph representations.

Hongmei Yang, Qin Peng, Jun Zhou, Guojun Song, Xinqi Gong*. The unidirectional causality influence of factors on PM2.5 in Shenyang city of China.

Jian Li, William Terzaghi, Yanyan Gong, Congran Li, Jun-Jie Ling, Yangyang Fan, Nanxun Qin, Xinqi Gong.* Danmeng Zhu*, Xingwang Deng*. Modulation of BIN2 kinase activity by HY5 controls hypocotyl elongation in light.

He Huang, Xinqi Gong*. A Review of Protein Inter-Residue Distance Prediction.

Yu Chen, Wei Wang*, Jiale Liu, Jinping Feng, Xinqi Gong*. Protein interface complementarity and gene duplication improve link prediction of protein-protein interaction network.

Yanfen Lyu, He Huang, Xinqi Gong*. A novel index of contact frequency from noise protein-protein interaction data help for accurate interface residue pair prediction.

Zhenni Zhao, Xinqi Gong*. Protein-protein interaction interface residue pair prediction based on deep learning architecture.

Jiale Liu, Xinqi Gong.* Attention mechanism enhanced LSTM with residual architecture and its application for protein-protein interaction residue pair prediction.

Fang Kong, Xirong Li, Qing Liu, Chuangye Yan, Xinqi Gong*. An automatic particle picking method based on generative adversarial network.