| Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13 J Hou, T Wu, R Cao, J Cheng Proteins: Structure, Function, and Bioinformatics 87 (12), 1165-1178, 2019 | 158 | 2019 |
| Deep learning to predict protein backbone structure from high-resolution cryo-EM density maps D Si, SA Moritz, J Pfab, J Hou, R Cao, L Wang, T Wu, J Cheng Scientific reports 10 (1), 4282, 2020 | 91 | 2020 |
| Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge CL Lawson, A Kryshtafovych, PD Adams, PV Afonine, ML Baker, ... Nature methods 18 (2), 156-164, 2021 | 72 | 2021 |
| DeepDist: real-value inter-residue distance prediction with deep residual convolutional network T Wu, Z Guo, J Hou, J Cheng BMC bioinformatics 22, 1-17, 2021 | 62 | 2021 |
| Combination of deep neural network with attention mechanism enhances the explainability of protein contact prediction C Chen, T Wu, Z Guo, J Cheng Proteins: Structure, Function, and Bioinformatics 89 (6), 697-707, 2021 | 32 | 2021 |
| Analysis of several key factors influencing deep learning-based inter-residue contact prediction T Wu, J Hou, B Adhikari, J Cheng Bioinformatics 36 (4), 1091-1098, 2020 | 31 | 2020 |
| The MULTICOM protein structure prediction server empowered by deep learning and contact distance prediction J Hou, T Wu, Z Guo, F Quadir, J Cheng Protein structure prediction, 13-26, 2020 | 26 | 2020 |
| Improving protein tertiary structure prediction by deep learning and distance prediction in CASP14 J Liu, T Wu, Z Guo, J Hou, J Cheng Proteins: Structure, Function, and Bioinformatics 90 (1), 58-72, 2022 | 21 | 2022 |
| 3D-equivariant graph neural networks for protein model quality assessment C Chen, X Chen, A Morehead, T Wu, J Cheng Bioinformatics 39 (1), btad030, 2023 | 19 | 2023 |
| Protein model accuracy estimation empowered by deep learning and inter-residue distance prediction in CASP14 X Chen, J Liu, Z Guo, T Wu, J Hou, J Cheng Scientific Reports 11 (1), 10943, 2021 | 18 | 2021 |
| Enhancing alphafold-multimer-based protein complex structure prediction with MULTICOM in CASP15 J Liu, Z Guo, T Wu, RS Roy, F Quadir, C Chen, J Cheng Communications Biology 6 (1), 1140, 2023 | 16 | 2023 |
| Impact of AlphaFold on structure prediction of protein complexes: the CASP15‐CAPRI experiment MF Lensink, G Brysbaert, N Raouraoua, PA Bates, M Giulini, RV Honorato, ... Proteins: Structure, Function, and Bioinformatics 91 (12), 1658-1683, 2023 | 15 | 2023 |
| Improving AlphaFold2-based protein tertiary structure prediction with MULTICOM in CASP15 J Liu, Z Guo, T Wu, RS Roy, C Chen, J Cheng Communications Chemistry 6 (1), 188, 2023 | 10 | 2023 |
| Atomic protein structure refinement using all-atom graph representations and SE (3)-equivariant graph neural networks T Wu, J Cheng bioRxiv, 2022.05. 06.490934, 2022 | 8 | 2022 |
| Improving deep learning-based protein distance prediction in CASP14 Z Guo, T Wu, J Liu, J Hou, J Cheng Bioinformatics 37 (19), 3190-3196, 2021 | 8 | 2021 |
| Outcomes of the 2019 EMDataResource model challenge: Validation of cryo-EM models at near-atomic resolution CL Lawson, A Kryshtafovych, PD Adams, PV Afonine, ML Baker, ... BioRxiv, 2020.06. 12.147033, 2020 | 8 | 2020 |
| Atomic protein structure refinement using all-atom graph representations and SE (3)-equivariant graph transformer T Wu, Z Guo, J Cheng Bioinformatics 39 (5), btad298, 2023 | 7 | 2023 |
| MULTICOM2 open-source protein structure prediction system powered by deep learning and distance prediction T Wu, J Liu, Z Guo, J Hou, J Cheng Scientific Reports 11 (1), 13155, 2021 | 6 | 2021 |
| DeepDist: real-value inter-residue distance prediction with deep residual network T Wu, Z Guo, J Hou, J Cheng bioRxiv, 2020 | 6 | 2020 |
| EGR: Equivariant graph refinement and assessment of 3D protein complex structures A Morehead, X Chen, T Wu, J Liu, J Cheng arXiv preprint arXiv:2205.10390, 2022 | 5 | 2022 |
