| iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations J Jin, Y Yu, R Wang, X Zeng, C Pang, Y Jiang, Z Li, Y Dai, R Su, Q Zou, ... Genome biology 23 (1), 219, 2022 | 55 | 2022 |
| Retrosynthesis prediction with an interpretable deep-learning framework based on molecular assembly tasks Y Wang, C Pang, Y Wang, J Jin, J Zhang, X Zeng, R Su, Q Zou, L Wei Nature Communications 14 (1), 6155, 2023 | 21 | 2023 |
| Deep Generative Models in De Novo Drug Molecule Generation C Pang, J Qiao, X Zeng, Q Zou, L Wei Journal of Chemical Information and Modeling, 2023 | 12 | 2023 |
| DrugormerDTI: Drug Graphormer for drug–target interaction prediction J Hu, W Yu, C Pang, J Jin, NT Pham, B Manavalan, L Wei Computers in Biology and Medicine 161, 106946, 2023 | 5 | 2023 |
| Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery C Pang, Y Wang, Y Jiang, R Wang, R Su, L Wei arXiv preprint arXiv:2212.01575, 2022 | 2 | 2022 |
| Advanced deep learning methods for molecular property prediction C Pang, HHY Tong, L Wei Quantitative Biology 11 (4), 395-404, 2023 | 1 | 2023 |
