| GPS 5.0: an update on the prediction of kinase-specific phosphorylation sites in proteins C Wang, H Xu, S Lin, W Deng, J Zhou, Y Zhang, Y Shi, D Peng, Y Xue Genomics, Proteomics and Bioinformatics 18 (1), 72-80, 2020 | 243 | 2020 |
| PLMD: an updated data resource of protein lysine modifications H Xu, J Zhou, S Lin, W Deng, Y Zhang, Y Xue Journal of Genetics and Genomics 44 (5), 243-250, 2017 | 196 | 2017 |
| PTMD: a database of human disease-associated post-translational modifications H Xu, Y Wang, S Lin, W Deng, D Peng, Q Cui, Y Xue Genomics, Proteomics and Bioinformatics 16 (4), 244-251, 2018 | 172 | 2018 |
| Database resources of the BIG data center in 2018 Nucleic Acids Research 46 (D1), D14-D20, 2018 | 105 | 2018 |
| Database resources of the BIG data center in 2019 BIGDC Members Nucleic acids research 47 (Database issue), D8, 2019 | 93 | 2019 |
| Accurate in silico prediction of species-specific methylation sites based on information gain feature optimization PP Wen, SP Shi, HD Xu, LN Wang, JD Qiu Bioinformatics 32 (20), 3107-3115, 2016 | 81 | 2016 |
| SuccFind: a novel succinylation sites online prediction tool via enhanced characteristic strategy HD Xu, SP Shi, PP Wen, JD Qiu Bioinformatics 31 (23), 3748-3750, 2015 | 64 | 2015 |
| Deep4mC: systematic assessment and computational prediction for DNA N4-methylcytosine sites by deep learning H Xu, P Jia, Z Zhao Briefings in bioinformatics 22 (3), bbaa099, 2021 | 58 | 2021 |
| Computational prediction of species-specific malonylation sites via enhanced characteristic strategy LN Wang, SP Shi, HD Xu, PP Wen, JD Qiu Bioinformatics 33 (10), 1457-1463, 2017 | 57 | 2017 |
| KinaseMD: kinase mutations and drug response database R Hu, H Xu, P Jia, Z Zhao Nucleic Acids Research 49 (D1), D552-D561, 2021 | 47 | 2021 |
| 6mA-Finder: a novel online tool for predicting DNA N6-methyladenine sites in genomes H Xu, R Hu, P Jia, Z Zhao Bioinformatics 36 (10), 3257-3259, 2020 | 37 | 2020 |
| Predicting lysine‐malonylation sites of proteins using sequence and predicted structural features G Taherzadeh, Y Yang, H Xu, Y Xue, AWC Liew, Y Zhou Journal of computational chemistry 39 (22), 1757-1763, 2018 | 34 | 2018 |
| HybridSucc: a hybrid-learning architecture for general and species-specific succinylation site prediction W Ning, H Xu, P Jiang, H Cheng, W Deng, Y Guo, Y Xue Genomics, Proteomics and Bioinformatics 18 (2), 194-207, 2020 | 30 | 2020 |
| Integrated omics in Drosophila uncover a circadian kinome C Wang, K Shui, S Ma, S Lin, Y Zhang, B Wen, W Deng, H Xu, H Hu, ... Nature Communications 11 (1), 2710, 2020 | 27 | 2020 |
| Proteomic analysis and prediction of human phosphorylation sites in subcellular level reveal subcellular specificity X Chen, SP Shi, SB Suo, HD Xu, JD Qiu Bioinformatics 31 (2), 194-200, 2015 | 26 | 2015 |
| iEKPD 2.0: an update with rich annotations for eukaryotic protein kinases, protein phosphatases and proteins containing phosphoprotein-binding domains Y Guo, D Peng, J Zhou, S Lin, C Wang, W Ning, H Xu, W Deng, Y Xue Nucleic Acids Research 47 (D1), D344-D350, 2019 | 25 | 2019 |
| PredHydroxy: computational prediction of protein hydroxylation site locations based on the primary structure SP Shi, X Chen, HD Xu, JD Qiu Molecular BioSystems 11 (3), 819-825, 2015 | 25 | 2015 |
| DeepPhagy: a deep learning framework for quantitatively measuring autophagy activity in Saccharomyces cerevisiae Y Zhang, Y Xie, W Liu, W Deng, D Peng, C Wang, H Xu, C Ruan, Y Deng, ... Autophagy 16 (4), 626-640, 2020 | 19 | 2020 |
| Progress and challenges in predicting protein methylation sites SP Shi, HD Xu, PP Wen, JD Qiu Molecular BioSystems 11 (10), 2610-2619, 2015 | 16 | 2015 |
| Systematic analysis of the genetic variability that impacts SUMO conjugation and their involvement in human diseases HD Xu, SP Shi, X Chen, JD Qiu Scientific reports 5 (1), 10900, 2015 | 12 | 2015 |
Yu XueProfessor of Life Science and Techology, Huazhong University of Science and TechnologyVerified email at mail.hust.edu.cn
