| iAMP-2L: a two-level multi-label classifier for identifying antimicrobial peptides and their functional types X Xiao, P Wang, WZ Lin, JH Jia, KC Chou Analytical biochemistry 436 (2), 168-177, 2013 | 545 | 2013 |
| iDNA-Prot: identification of DNA binding proteins using random forest with grey model WZ Lin, JA Fang, X Xiao, KC Chou PloS one 6 (9), e24756, 2011 | 309 | 2011 |
| iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins WZ Lin, JA Fang, X Xiao, KC Chou Molecular BioSystems 9 (4), 634-644, 2013 | 276 | 2013 |
| iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach X Xiao, JL Min, WZ Lin, Z Liu, X Cheng, KC Chou Journal of Biomolecular Structure and Dynamics 33 (10), 2221-2233, 2015 | 244 | 2015 |
| iMethyl‐PseAAC: Identification of Protein Methylation Sites via a Pseudo Amino Acid Composition Approach WR Qiu, X Xiao, WZ Lin, KC Chou BioMed research international 2014 (1), 947416, 2014 | 216 | 2014 |
| iUbiq-Lys: prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a gray system model WR Qiu, X Xiao, WZ Lin, KC Chou Journal of Biomolecular Structure and Dynamics 33 (8), 1731-1742, 2015 | 187 | 2015 |
| pLoc-mAnimal: predict subcellular localization of animal proteins with both single and multiple sites X Cheng, SG Zhao, WZ Lin, X Xiao, KC Chou Bioinformatics 33 (22), 3524-3531, 2017 | 184 | 2017 |
| Wenxiang: a web-server for drawing wenxiang diagrams KC Chou, WZ Lin, X Xiao Natural Science 3 (10), 862-865, 2011 | 143 | 2011 |
| pLoc_bal-mAnimal: predict subcellular localization of animal proteins by balancing training dataset and PseAAC X Cheng, WZ Lin, X Xiao, KC Chou Bioinformatics 35 (3), 398-406, 2019 | 125 | 2019 |
| Using grey dynamic modeling and pseudo amino acid composition to predict protein structural classes X Xiao, WZ Lin, KC Chou Journal of Computational Chemistry 29 (12), 2018-2024, 2008 | 107 | 2008 |
| Imbalanced multi-label learning for identifying antimicrobial peptides and their functional types W Lin, D Xu Bioinformatics 32 (24), 3745-3752, 2016 | 101 | 2016 |
| GPCR-GIA: a web-server for identifying G-protein coupled receptors and their families with grey incidence analysis WZ Lin, X Xiao, KC Chou Protein Engineering, Design & Selection 22 (11), 699-705, 2009 | 87 | 2009 |
| Predicting secretory proteins of malaria parasite by incorporating sequence evolution information into pseudo amino acid composition via grey system model WZ Lin, JA Fang, X Xiao, KC Chou PLoS One 7 (11), e49040, 2012 | 60 | 2012 |
| Application of protein grey incidence degree measure to predict protein quaternary structural types X Xiao, WZ Lin Amino Acids 37 (4), 741-749, 2009 | 33 | 2009 |
| Swfoldrate: predicting protein folding rates from amino acid sequence with sliding window method X Cheng, X Xiao, Z Wu, P Wang, W Lin Proteins: Structure, Function, and Bioinformatics 81 (1), 140-148, 2013 | 29 | 2013 |
| iMem-Seq: a multi-label learning classifier for predicting membrane proteins types X Xiao, HL Zou, WZ Lin The Journal of membrane biology 248, 745-752, 2015 | 23 | 2015 |
| Use Chou’s 5-steps rule to predict remote homology proteins by merging grey incidence analysis and domain similarity analysis W Lin, X Xiao, W Qiu, KC Chou Natural Science 12 (03), 181-198, 2020 | 22 | 2020 |
| Recent advances in predicting protein classification and their applications to drug development X Xiao, WZ Lin, KC Chou Current topics in medicinal chemistry 13 (14), 1622-1635, 2013 | 22 | 2013 |
| HGDTI: predicting drug–target interaction by using information aggregation based on heterogeneous graph neural network L Yu, W Qiu, W Lin, X Cheng, X Xiao, J Dai BMC bioinformatics 23 (1), 126, 2022 | 17 | 2022 |
| idse-HE: Hybrid embedding graph neural network for drug side effects prediction L Yu, M Cheng, W Qiu, X Xiao, W Lin Journal of Biomedical Informatics 131, 104098, 2022 | 15 | 2022 |
