Exploring evolution-aware &-free protein language models as protein function predictors M Hu, F Yuan, K Yang, F Ju, J Su, H Wang, F Yang, Q Ding Advances in Neural Information Processing Systems 35, 38873-38884, 2022 | 36 | 2022 |
Multi-granularity textual adversarial attack with behavior cloning Y Chen, J Su, W Wei arXiv preprint arXiv:2109.04367, 2021 | 32 | 2021 |
SaProt: protein language modeling with structure-aware vocabulary J Su, C Han, Y Zhou, J Shan, X Zhou, F Yuan bioRxiv, 2023.10. 01.560349, 2023 | 29* | 2023 |
Protein 3d graph structure learning for robust structure-based protein property prediction Y Huang, S Li, L Wu, J Su, H Lin, O Zhang, Z Liu, Z Gao, J Zheng, SZ Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12662 …, 2024 | 6 | 2024 |
Sequence vs. Structure: Delving Deep into Data-Driven Protein Function Prediction X Tian, Z Wang, KK Yang, J Su, H Du, Q Zheng, G Guo, M Yang, F Yang, ... bioRxiv, 2023.04. 02.534383, 2023 | 4 | 2023 |
Protein Language Model Predicts Mutation Pathogenicity and Clinical Prognosis X Liu, X Yang, L Ouyang, G Guo, J Su, R Xi, K Yuan, F Yuan bioRxiv, 2022.09. 30.510294, 2022 | 1 | 2022 |
ProTrek: Navigating the Protein Universe through Tri-Modal Contrastive Learning J Su, X Zhou, X Zhang, F Yuan bioRxiv, 2024.05. 30.596740, 2024 | | 2024 |
SaprotHub: Making Protein Modeling Accessible to All Biologists J Su, Z Li, C Han, Y Zhou, J Shan, X Zhou, D Ma, T OPMC, S Ovchinnikov, ... bioRxiv, 2024.05. 24.595648, 2024 | | 2024 |