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 Republic of Korea

  Research Interests:

  • Precision medicine and Multi-omics Integration
  • AI for drug discovery
  • Intelligent Knowledge Integration

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.E. Student in Architectural Engineering, Hanyang University, Seoul, Korea

PUBLICATIONS & PROCEEDINGS

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(: Equal contributions)*

1. I Sung*, SS Lee*, D Bang, J Yi, S Kim, SH Lee. “MDTR: A Knowledge-Guided Interpretable Representation for Quantifying Liver Toxicity at Transcriptomic Level”, Frontiers in Pharmacology (January, 2025)
2. 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) (January, 2025)
3. 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)
4. 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)
5. D Bang*, B Koo*, S Kim. “Transfer Learning of Condition-Specific Perturbation in Gene Interactions Improves Drug Response Prediction”, Bioinformatics (June, 2024) - Transferred from ISMB2024
6. DY Lee, DH Lee, D Bang, S Kim. “DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization”, AAAI2024 (February, 2024)