| Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life Z Peng, J Yan, X Fan, MJ Mizianty, B Xue, K Wang, G Hu, VN Uversky, ... Cellular and Molecular Life Sciences 72, 137-151, 2015 | 380 | 2015 |
| flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions G Hu, A Katuwawala, K Wang, Z Wu, S Ghadermarzi, J Gao, L Kurgan Nature communications 12 (1), 4438, 2021 | 160 | 2021 |
| Highly accurate and consistent method for prediction of helix and strand content from primary protein sequences J Ruan, K Wang, J Yang, LA Kurgan, K Cios Artificial Intelligence in Medicine 35 (1-2), 19-35, 2005 | 59 | 2005 |
| Untapped potential of disordered proteins in current druggable human proteome G Hu, Z Wu, K Wang, V N Uversky, L Kurgan Current drug targets 17 (10), 1198-1205, 2016 | 57 | 2016 |
| Human structural proteome-wide characterization of Cyclosporine A targets G Hu, K Wang, J Groenendyk, K Barakat, MJ Mizianty, J Ruan, ... Bioinformatics 30 (24), 3561-3566, 2014 | 43 | 2014 |
| PDID: database of molecular-level putative protein–drug interactions in the structural human proteome C Wang, G Hu, K Wang, M Brylinski, L Xie, L Kurgan Bioinformatics 32 (4), 579-586, 2016 | 40 | 2016 |
| Taxonomic landscape of the dark proteomes: Wholeproteome scale interplay between structural darkness, intrinsic disorder, and crystallization propensity G Hu, K Wang, J Song, VN Uversky, L Kurgan Proteomics 18 (21-22), 1800243, 2018 | 34 | 2018 |
| Analysis of conformational B-cell epitopes in the antibody-antigen complex using the depth function and the convex hull W Zheng, J Ruan, G Hu, K Wang, M Hanlon, J Gao PloS one 10 (8), e0134835, 2015 | 25 | 2015 |
| An accurate method for prediction of protein-ligand binding site on protein surface using SVM and statistical depth function K Wang, J Gao, S Shen, JA Tuszynski, J Ruan, G Hu BioMed Research International 2013, 2013 | 24 | 2013 |
| Cyclosporine A binding to COX-2 reveals a novel signaling pathway that activates the IRE1α unfolded protein response sensor J Groenendyk, T Paskevicius, H Urra, C Viricel, K Wang, K Barakat, ... Scientific reports 8 (1), 16678, 2018 | 22 | 2018 |
| Finding protein targets for small biologically relevant ligands across fold space using inverse ligand binding predictions G Hu, J Gao, K Wang, MJ Mizianty, J Ruan, L Kurgan Structure 20 (11), 1815-1822, 2012 | 20 | 2012 |
| What are the structural features that drive partitioning of proteins in aqueous two-phase systems? Z Wu, G Hu, K Wang, BY Zaslavsky, L Kurgan, VN Uversky Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics 1865 (1), 113-120, 2017 | 17 | 2017 |
| Comprehensive survey and comparative assessment of RNA-binding residue predictions with analysis by RNA type K Wang, G Hu, Z Wu, H Su, J Yang, L Kurgan International journal of molecular sciences 21 (18), 6879, 2020 | 15 | 2020 |
| Exploratory analysis of quality assessment of putative intrinsic disorder in proteins Z Wu, G Hu, K Wang, L Kurgan Artificial Intelligence and Soft Computing: 16th International Conference …, 2017 | 11 | 2017 |
| Survey of predictors of propensity for protein production and crystallization with application to predict resolution of crystal structures J Gao, Z Wu, G Hu, K Wang, J Song, A Joachimiak, L Kurgan Current Protein and Peptide Science 19 (2), 200-210, 2018 | 8 | 2018 |
| Improved prediction of protein crystallization, purification and production propensity using hybrid sequence representation J Gao, G Hu, Z Wu, J Ruan, S Shen, M Hanlon, K Wang Current Bioinformatics 9 (1), 57-64, 2014 | 8 | 2014 |
| DIST: spatial transcriptomics enhancement using deep learning Y Zhao, K Wang, G Hu Briefings in Bioinformatics 24 (2), bbad013, 2023 | 5 | 2023 |
| Rainbow domination numbers of generalized Petersen graphs Z Gao, H Lei, K Wang Applied Mathematics and Computation 382, 125341, 2020 | 5 | 2020 |
| SMA: an efficient tool for large-scale multiple alignment S Shen, L Dong, K Wang, G Hu 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2836-2838, 2006 | 5 | 2006 |
| Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins L Kurgan, G Hu, K Wang, S Ghadermarzi, B Zhao, N Malhis, G Erdős, ... Nature Protocols 18 (11), 3157-3172, 2023 | 4 | 2023 |
