| Scaffold-based molecular design with a graph generative model J Lim, SY Hwang, S Moon, S Kim, WY Kim Chemical science 11 (4), 1153-1164, 2020 | 166 | 2020 |
| PIGNet: a physics-informed deep learning model toward generalized drug–target interaction predictions S Moon, W Zhung, S Yang, J Lim, WY Kim Chemical Science 13 (13), 3661-3673, 2022 | 110 | 2022 |
| PIGNet2: a versatile deep learning-based protein–ligand interaction prediction model for binding affinity scoring and virtual screening S Moon, SY Hwang, J Lim, WY Kim Digital Discovery 3 (2), 287-299, 2024 | 9* | 2024 |
| GeoTMI: predicting quantum chemical property with easy-to-obtain geometry via positional denoising H Kim, J Woo, S Kim, S Moon, JH Kim, WY Kim Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| DeepBioisostere: Deep Learning-based Bioisosteric Replacements for Optimization of Multiple Molecular Properties WY Kim, H Kim, S Moon, W Zhung, J Lim | | 2024 |
| DeepBioisostere: Discovering Bioisosteres with Deep Learning for a Fine Control of Multiple Molecular Properties H Kim, S Moon, W Zhung, J Lim, WY Kim arXiv preprint arXiv:2403.02706, 2024 | | 2024 |
| Toward generalizable structure‐based deep learning models for protein–ligand interaction prediction: Challenges and strategies S Moon, W Zhung, WY Kim Wiley Interdisciplinary Reviews: Computational Molecular Science 14 (1), e1705, 2024 | | 2024 |
Woo Youn KimProfessor of Chemistry, KAIST在 kaist.ac.kr 的电子邮件经过验证
