| PSICA: a fast and accurate web service for protein model quality analysis W Wang, Z Li, J Wang, D Xu, Y Shang Nucleic acids research 47 (W1), W443-W450, 2019 | 11 | 2019 |
| Two new heuristic methods for protein model quality assessment W Wang, J Wang, D Xu, Y Shang IEEE/ACM transactions on computational biology and bioinformatics 17 (4 …, 2018 | 7 | 2018 |
| New deep neural networks for protein model evaluation J Wang, Z Li, Y Shang 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 7 | 2017 |
| MUfoldQA_G: High-accuracy protein model QA via retraining and transformation W Wang, J Wang, Z Li, D Xu, Y Shang Computational and structural biotechnology journal 19, 6282-6290, 2021 | 4 | 2021 |
| Protein loop modeling using Alphafold2 J Wang, W Wang, Y Shang IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (5 …, 2023 | 3 | 2023 |
| A new approach of applying deep learning to protein model quality assessment J Wang, W Wang, Y Shang 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 3 | 2019 |
| New Heuristic Methods for Protein Model Quality Assessment via Two-Stage Machine Learning and Hierarchical Ensemble J Wang, W Wang, Y Shang, D Xu 2022 IEEE 4th International Conference on Cognitive Machine Intelligence …, 2022 | | 2022 |
| Machine learning methods for evaluating the quality of a single protein model using energy and structural properties J Wang University of Missouri--Columbia, 2015 | | 2015 |
