| Structure-aware protein–protein interaction site prediction using deep graph convolutional network Q Yuan, J Chen, H Zhao, Y Zhou, Y Yang Bioinformatics 38 (1), 125-132, 2022 | 124 | 2022 |
| AlphaFold2-aware protein–DNA binding site prediction using graph transformer Q Yuan, S Chen, J Rao, S Zheng, H Zhao, Y Yang Briefings in Bioinformatics 23 (2), bbab564, 2022 | 88 | 2022 |
| Fast and accurate protein function prediction from sequence through pretrained language model and homology-based label diffusion Q Yuan, J Xie, J Xie, H Zhao, Y Yang Briefings in bioinformatics 24 (3), bbad117, 2023 | 45 | 2023 |
| Alignment-free metal ion-binding site prediction from protein sequence through pretrained language model and multi-task learning Q Yuan, S Chen, Y Wang, H Zhao, Y Yang Briefings in bioinformatics 23 (6), bbac444, 2022 | 34 | 2022 |
| DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model Y Fang, Y Jiang, L Wei, Q Ma, Z Ren, Q Yuan, DQ Wei Bioinformatics 39 (12), btad718, 2023 | 33 | 2023 |
| Identifying B-cell epitopes using AlphaFold2 predicted structures and pretrained language model Y Zeng, Z Wei, Q Yuan, S Chen, W Yu, Y Lu, J Gao, Y Yang Bioinformatics 39 (4), btad187, 2023 | 22 | 2023 |
| Fast and accurate protein intrinsic disorder prediction by using a pretrained language model Y Song, Q Yuan, S Chen, K Chen, Y Zhou, Y Yang Briefings in bioinformatics 24 (4), bbad173, 2023 | 13 | 2023 |
| Genome-scale annotation of protein binding sites via language model and geometric deep learning Q Yuan, C Tian, Y Yang Elife 13, RP93695, 2024 | 12 | 2024 |
| GPSFun: geometry-aware protein sequence function predictions with language models Q Yuan, C Tian, Y Song, P Ou, M Zhu, H Zhao, Y Yang Nucleic Acids Research, gkae381, 2024 | 11 | 2024 |
| Accurately identifying nucleic-acid-binding sites through geometric graph learning on language model predicted structures Y Song, Q Yuan, H Zhao, Y Yang Briefings in Bioinformatics 24 (6), bbad360, 2023 | 11 | 2023 |
| A variational expectation-maximization framework for balanced multi-scale learning of protein and drug interactions J Rao, J Xie, Q Yuan, D Liu, Z Wang, Y Lu, S Zheng, Y Yang Nature Communications 15 (1), 4476, 2024 | 9 | 2024 |
| TCR signaling induces STAT3 phosphorylation to promote TH17 cell differentiation Z Qin, R Wang, P Hou, Y Zhang, Q Yuan, Y Wang, Y Yang, T Xu Journal of Experimental Medicine 221 (3), e20230683, 2024 | 9 | 2024 |
| Predicting the effects of mutations on protein solubility using graph convolution network and protein language model representation J Wang, S Chen, Q Yuan, J Chen, D Li, L Wang, Y Yang Journal of Computational Chemistry 45 (8), 436-445, 2024 | 6 | 2024 |
| Accurately predicting enzyme functions through geometric graph learning on ESMFold-predicted structures Y Song#, Q Yuan#, S Chen, Y Zeng, H Zhao, Y Yang Nature Communications 15 (1), 8180, 2024 | 4 | 2024 |
| Sequence-based predictions of residues that bind proteins and peptides Q Yuan, Y Yang Machine Learning in Bioinformatics of Protein Sequences: Algorithms …, 2023 | 3 | 2023 |
| Application of deep learning in protein function prediction S Yidong, Y Qianmu, Y Yuedong Synthetic Biology Journal 4 (3), 488, 2023 | 2 | 2023 |
| Accurately predicting optimal conditions for microorganism proteins through geometric graph learning and language model M Zhu, Y Song, Q Yuan, Y Yang Communications Biology 7 (1), 1709, 2024 | | 2024 |
| GP-nano: a geometric graph network for nanobody polyreactivity prediction X Zhou, Q Yuan, S Zheng, Y Wang, Y Yang 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
Yuedong YangSchool of Computer Science and Engineering, Sun Yat-sen UniversityBestätigte E-Mail-Adresse bei mail.sysu.edu.cn