Dongmin (Eugene) Bang

Ph.D. Candidate in Interdisciplinary program in Bioinformatics at Seoul National University @ Bio & Health Informatics Lab. with Prof. Sun Kim

Senior Researcher @ **AIGENDRUG** Co., Ltd.

Licensed pharmacist in ROK

Research Interests:

• AI for drug discovery
• Intelligent Knowledge Integration
• Generative models

EDUCATION

2021- Ph.D. Candidate in Interdisciplinary program in Bioinformatics, Seoul National University, Seoul, Korea

2015- Pharm. D, Chung-Ang University, Seoul, Korea

2012- B.S. Student in Architectural Engineering, Hanyang University, Seoul, Korea

2010- Sejong Science High School, Seoul, Korea

PUBLICATIONS & CONFERENCE PROCEEDINGS

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1. J Lee*, D Bang,* S Kim. “Residue-Level Multi-View Deep Learning for ATP Binding Site Prediction and Applications in Kinase Inhibitors”, Journal of Chemical Information and Modeling (JCIM) (December, 2024)
2. C Cho*, S Lee*, D Bang, Y Piao, S Kim. “ChemAP: Predicting Drug Approval with Chemical Structures before Clinical Trial Phase by Leveraging Multi-Modal Embedding Space and Knowledge Distillation”, Scientific Reports (October, 2024)
3. M Pak, D Bang, I Sung, S Kim, S Lee. “DGDRP: Drug-specific Gene selection for Drug Response Prediction via re-ranking through propagating and learning biological network”, Frontiers in Genetics (September, 2024)
4. D Bang*, B Koo*, S Kim. “Transfer Learning of Condition-Specific Perturbation in Gene Interactions Improves Drug Response Prediction”, Bioinformatics (June, 2024) - Transferred from Intelligent Systems for Molecular Biology (ISMB) 2024, Montréal, Canada (July, 2024)
5. DY Lee, DH Lee, D Bang, S Kim. “DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization”, Association for the Advancement of Artificial Intelligence (AAAI) 2024, Vancouver, Canada (February, 2024)
6. J Gu*, D Bang*, J Yi*, D Kim, S Kim, S Lee. A Model-agnostic Framework to Enhance Knowledge Graph-based Drug Combination Prediction with Drug-Drug Interaction Data and Supervised Contrastive Learning. Briefings in Bioinformatics (August, 2023)