| Hierarchical graph transformer with contrastive learning for protein function prediction Z Gu, X Luo, J Chen, M Deng, L Lai Bioinformatics 39 (7), btad410, 2023 | 19 | 2023 |
| QuoteTarget: A sequence‐based transformer protein language model to identify potentially druggable protein targets J Chen, Z Gu, Y Xu, M Deng, L Lai, J Pei Protein Science 32 (2), e4555, 2023 | 7 | 2023 |
| An Evaluation of Large Language Models in Bioinformatics Research H Yin, Z Gu, F Wang, Y Abuduhaibaier, Y Zhu, X Tu, XS Hua, X Luo, ... arXiv preprint arXiv:2402.13714, 2024 | 6 | 2024 |
| Harr: Learning discriminative and high-quality hash codes for image retrieval Z Ma, S Wang, X Luo, Z Gu, C Chen, J Li, XS Hua, G Lu ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2024 | 3 | 2024 |
| DiffBindFR: an SE (3) equivariant network for flexible protein–ligand docking J Zhu, Z Gu, J Pei, L Lai Chemical Science 15 (21), 7926-7942, 2024 | 3 | 2024 |
| In silico protein function prediction: the rise of machine learning-based approaches J Chen, Z Gu, L Lai, J Pei Medical Review 3 (6), 487-510, 2023 | 2 | 2023 |
| DiffBind: A SE (3) Equivariant Network for Accurate Full-Atom Semi-Flexible Protein-Ligand Docking J Zhu, Z Gu, J Pei, L Lai arXiv preprint arXiv:2311.15201, 2023 | 1 | 2023 |
| rsc. li/chemical-science J Zhu, Z Gu, J Pei, L Lai | | 2024 |
| Open Library of Bioscience M Chen, L Li, J Niu, A Lin, S Chen, L Hao Optimization 2 (4), 043504, 2015 | | 2015 |
