Dongmin Bang

Contact
eugenomics@snu.ac.kr
International Papers
- Sung I, Lee SS, Bang D, Yi J, Kim S, Lee SH. MDTR: A Knowledge-Guided Interpretable Representation for Quantifying Liver Toxicity at Transcriptomic Level. Frontiers in Pharmacology. Frontiers in Pharmacology. 2025 Jan 24.
- Lee J, Bang D, Kim S. Residue-Level Multi-View Deep Learning for Accurate ATP Binding Site Prediction and Its Applications in Kinase Drug Binding. Journal of Chemical Informatics and Modeling (JCIM). 2024 Dec 17.
- Cho C, Lee S, Bang D, Piao Y, Kim S. ChemAP: predicting drug approval with chemical structures before clinical trial phase by leveraging multi-modal embedding space and knowledge distillation. Scientific Reports. 2024 Oct 3.
- Pak M, Bang D, Sung I, Kim S, Lee S. DGDRP: Drug-specific Gene selection for Drug Response Prediction via re-ranking through propagating and learning biological network. Frontiers in Genetics. 2024 Sep 20
- Bang D, Koo B, Kim S. Transfer Learning of Condition-Specific Perturbation in Gene Interactions Improves Drug Response Prediction. Bioinformatics, 2024 Jul. [From The 32nd Intelligent Systems for Molecular Biology (ISMB)]
- Lee D, Lee D, Bang D, Kim S. DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization. AAAI 2024. 2024
- Gu J, Bang D, Yi J, Lee S, Kim DK, Kim S. A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug–drug interaction data and supervised contrastive learning. Briefings in Bioinformatics. 2023 Aug 7.
- Bang D, Lim S, Lee S, Kim S. Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers. Nature Communications. 2023 June 15.
- Shin J, Piao Y, Bang D, Kim S, Jo K. DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer. International Journal of Molecular Sciences (IJMS). 2022 Nov 11.
- Bang D, Gu J, Park J, Jeong D, Koo B, Yi J, Shin J, Jung I, Kim S, Lee S. A Survey on Computational Methods for Investigation on ncRNA-Disease Association through the Mode of Action Perspective. International Journal of Molecular Sciences (IJMS). 2022 Sep 29.
- Lim S, Lee S, Piao Y, Choi MG, Bang D, Gu J, Kim S. On Modeling and Utilizing Chemical Compound Information with Deep Learning Technologies: A Task-oriented Approach. Computational and Structural Biotechnology Journal (CSBJ). 2022 Aug 4.