Dongmin Bang

According to our database, Dongmin Bang authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Fate-tox: fragment attention transformer for E(3)-equivariant multi-organ toxicity prediction.

Sumin Ha, Dongmin Bang, Sun Kim

J. Cheminformatics, December, 2025

Survey on AI-Drug Discovery with Knowledge Graphs: Data, Algorithm, and Application.

Daeun Kong, Yoojin Ha, Haeun Yoo, Dongmin Bang, Sun Kim

J. Comput. Sci. Eng., 2025

Residue-Level Multiview Deep Learning for ATP Binding Site Prediction and Applications in Kinase Inhibitors.

Jaechan Lee, Dongmin Bang, Sun Kim

J. Chem. Inf. Model., 2025

MixingDTA: improved drug-target affinity prediction by extending mixup with guilt-by-association.

Youngoh Kim, Dongmin Bang, Bonil Koo, Jungseob Yi, Changyun Cho, Jeonguk Choi, Sun Kim

Bioinform., 2025

ADME-drug-likeness: enriching molecular foundation models via pharmacokinetics-guided multi-task learning for drug-likeness prediction.

Dongmin Bang, Juyeon Kim, Haerin Song, Sun Kim

Bioinform., 2025

BounDr.E: Predicting Drug-likeness via Biomedical Knowledge Alignment and EM-like One-Class Boundary Optimization.

Dongmin Bang, Inyoung Sung, Yinhua Piao, Sangseon Lee, Sun Kim

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Transfer learning of condition-specific perturbation in gene interactions improves drug response prediction.

Dongmin Bang, Bonil Koo, Sun Kim

Bioinform., 2024

DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization.

Danyeong Lee, Dohoon Lee, Dongmin Bang, Sun Kim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug-drug interaction data and supervised contrastive learning.

Jeonghyeon Gu, Dongmin Bang, Jungseob Yi, Sangseon Lee, Dong Kyu Kim, Sun Kim

Briefings Bioinform., September, 2023