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Nature Computational Science|March 24, 2022
Fast and effective protein model refinement using deep graph neural networksXiaoyang Jing, Jinbo XuBioinformatics (Oxford, England)|December 16, 2020
Improved protein model quality assessment by integrating sequential and pairwise features using deep learningXiaoyang Jing, Jinbo XuMethods in Molecular Biology (Clifton, N.J.)|October 5, 2019
A Web-Based Protocol for Interprotein Contact Prediction by Deep LearningXiaoyang Jing, Hong Zeng, Sheng Wang, et al.Bioinformatics (Oxford, England)|November 10, 2022
Improving protein structure prediction using templates and sequence embeddingFandi Wu, Xiaoyang Jing, Xiao Luo, et al.Proceedings of the National Academy of Sciences of the United States of America|March 20, 2024
Single-sequence protein structure prediction by integrating protein language modelsXiaoyang Jing, Fandi Wu, Xiao Luo, et al.IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 19, 2006
Fold recognition by predicted alignment accuracyJinbo XuProceedings of the National Academy of Sciences of the United States of America|August 11, 2019
Distance-based protein folding powered by deep learningJinbo XuBMC Bioinformatics|May 27, 2017
MQAPRank: improved global protein model quality assessment by learning-to-rankXiaoyang Jing, Qiwen DongBioinformatics (Oxford, England)|July 2, 2013
Predicting protein contact map using evolutionary and physical constraints by integer programmingZhiyong Wang, Jinbo XuStructure (London, England : 1993)|May 22, 2012
A position-specific distance-dependent statistical potential for protein structure and functional studyFeng Zhao, Jinbo XuPageof 14