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Proceedings of the National Academy of Sciences of the United States of America|May 30, 2023
An end-to-end deep learning method for protein side-chain packing and inverse foldingMatthew McPartlon, Jinbo XuNature Machine Intelligence|August 9, 2021
Improved protein structure prediction by deep learning irrespective of co-evolution informationJinbo Xu, Matthew Mcpartlon, Jin LiJournal of Theoretical Biology|November 22, 2016
Species tree estimation using Neighbor JoiningJoseph Rusinko, Matthew McPartlonIEEE/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 XuBioinformatics (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 XuProteins|September 1, 2019
Analysis of distance-based protein structure prediction by deep learning in CASP13Jinbo Xu, Sheng WangBriefings in Bioinformatics|December 9, 2021
Accurate protein function prediction via graph attention networks with predicted structure informationBoqiao Lai, Jinbo XuPlos Computational Biology|May 3, 2021
Deep template-based protein structure predictionFandi Wu, Jinbo XuPageof 13