| Bioinformatics resources and tools for conformational B-cell epitope prediction P Sun, H Ju, Z Liu, Q Ning, J Zhang, X Zhao, Y Huang, Z Ma, Y Li Computational and mathematical methods in medicine 2013, 2013 | 138 | 2013 |
| PSNO: Predicting Cysteine S-Nitrosylation Sites by Incorporating Various Sequence-Derived Features into the General Form of Chou’s PseAAC J Zhang, X Zhao, P Sun, Z Ma International Journal of Molecular Sciences 15 (7), 11204-11219, 2014 | 116 | 2014 |
| SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences J Zhang, L Kurgan Bioinformatics 35 (14), i343-i353, 2019 | 107 | 2019 |
| Comprehensive review and empirical analysis of hallmarks of DNA-, RNA-and protein-binding residues in protein chains J Zhang, Z Ma, L Kurgan Briefings in bioinformatics 20 (4), 1250-1268, 2019 | 103 | 2019 |
| Review and comparative assessment of sequence-based predictors of protein-binding residues J Zhang, L Kurgan Briefings in bioinformatics 19 (5), 821-837, 2018 | 93 | 2018 |
| PECM: Prediction of extracellular matrix proteins using the concept of Chou’s pseudo amino acid composition J Zhang, P Sun, X Zhao, Z Ma Journal of Theoretical Biology 363, 412-418, 2014 | 44 | 2014 |
| Identification of DNA-binding proteins using multi-features fusion and binary firefly optimization algorithm J Zhang, B Gao, H Chai, Z Ma, G Yang BMC bioinformatics 17, 1-12, 2016 | 43 | 2016 |
| Conformational B-cell epitopes prediction from sequences using cost-sensitive ensemble classifiers and spatial clustering J Zhang, X Zhao, P Sun, B Gao, Z Ma BioMed research international 2014, 2014 | 35 | 2014 |
| Prediction of protein solvent accessibility using PSO-SVR with multiple sequence-derived features and weighted sliding window scheme J Zhang, W Chen, P Sun, X Zhao, Z Ma BioData mining 8, 1-15, 2015 | 23 | 2015 |
| Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins J Zhang, S Ghadermarzi, L Kurgan Bioinformatics 36 (18), 4729-4738, 2020 | 21 | 2020 |
| In silico prediction and validation of novel RNA binding proteins and residues in the human proteome S Chowdhury, J Zhang, L Kurgan Proteomics 18 (21-22), 1800064, 2018 | 21 | 2018 |
| PROBselect: accurate prediction of protein-binding residues from proteins sequences via dynamic predictor selection F Zhang, W Shi, J Zhang, M Zeng, M Li, L Kurgan Bioinformatics 36 (Supplement_2), i735-i744, 2020 | 18 | 2020 |
| In silico Prediction of Human Secretory Proteins in Plasma Based on Discrete Firefly Optimization and Application to Cancer Biomarkers Identification J Zhang, Y Zhang, Z Ma Frontiers in Genetics 10, 542, 2019 | 18 | 2019 |
| HEMEsPred: structure-based ligand-specific heme binding residues prediction by using fast-adaptive ensemble learning scheme J Zhang, H Chai, B Gao, G Yang, Z Ma IEEE/ACM Transactions on Computational Biology and Bioinformatics 15 (1 …, 2016 | 18 | 2016 |
| Identification of protein pupylation sites using bi-profile Bayes feature extraction and ensemble learning X Zhao, J Zhang, Q Ning, P Sun, Z Ma, M Yin Mathematical Problems in Engineering 2013, 2013 | 14 | 2013 |
| DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequences J Zhang, S Ghadermarzi, A Katuwawala, L Kurgan Briefings in Bioinformatics, 2021 | 13 | 2021 |
| Prediction of bioluminescent proteins by using sequence-derived features and lineage-specific scheme J Zhang, H Chai, G Yang, Z Ma BMC bioinformatics 18, 1-13, 2017 | 12 | 2017 |
| High-throughput identification of mammalian secreted proteins using species-specific scheme and application to human proteome J Zhang, H Chai, S Guo, H Guo, Y Li Molecules 23 (6), 1448, 2018 | 11 | 2018 |
| Identification of mammalian enzymatic proteins based on sequence-derived features and species-specific scheme H Chai, J Zhang IEEE Access 6, 8452-8458, 2018 | 11 | 2018 |
| A Comprehensive Review of Computation-Based Metal-Binding Prediction Approaches at the Residue Level N Ye, F Zhou, X Liang, H Chai, J Fan, B Li, J Zhang BioMed Research International 2022 (8965712), 1-19, 2022 | 7 | 2022 |
Lukasz KurganComputer Science, Virginia Commonwealth University在 vcu.edu 的电子邮件经过验证
