| Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers D Bang, S Lim, S Lee, S Kim Nature Communications 14 (1), 3570, 2023 | 14 | 2023 |
| DRPreter: interpretable anticancer drug response prediction using knowledge-guided graph neural networks and transformer J Shin, Y Piao, D Bang, S Kim, K Jo International Journal of Molecular Sciences 23 (22), 13919, 2022 | 12 | 2022 |
| On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach S Lim, S Lee, Y Piao, MG Choi, D Bang, J Gu, S Kim Computational and Structural Biotechnology Journal 20, 4288-4304, 2022 | 7 | 2022 |
| A survey on computational methods for investigation on ncRNA-disease association through the mode of action perspective D Bang, J Gu, J Park, D Jeong, B Koo, J Yi, J Shin, I Jung, S Kim, S Lee International Journal of Molecular Sciences 23 (19), 11498, 2022 | 3 | 2022 |
| A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug–drug interaction data and supervised contrastive learning J Gu, D Bang, J Yi, S Lee, DK Kim, S Kim Briefings in Bioinformatics 24 (5), bbad285, 2023 | 1 | 2023 |
| DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization D Lee, D Lee, D Bang, S Kim Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13365 …, 2024 | | 2024 |
| Multi-layer guilt-by-association-based drug repurposing by integrating clinical knowledge on biological heterogeneous networks D Bang, S Lim, S Lee, S Kim bioRxiv, 2022.11. 22.517225, 2022 | | 2022 |
