Author

Hyunju Lee

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Open access Sep 2026

InFo-DRP: Integrating Invariant Learning and Foundation Representations for Unseen Drug Response Prediction.

Accurate prediction of cancer cell responses to chemical compounds remains a fundamental challenge in precision oncology and drug discovery. Although several drug response prediction (DRP) models have been proposed, most were evaluated using random splits of drug-cell line pairs, allowing the same drugs to appear in bo...

Ji-Sang Lee, Taelim Yeom, June-Woo Kim et al. · IEEE journal of biomedical a... · 0 citations

Open access Jul 2026

AlphaDTA: integrating AlphaFold3 embeddings and 3D complex structures for drug-target binding affinity prediction.

By integrating AlphaFold3-derived single, pair, and structure-based embeddings through adaptive fusion, AlphaDTA improves generalization on structurally nonredundant benchmarks and demonstrates utility for target-specific drug repurposing.

Minjae Chung, Sejin Park, Hyunju Lee · Journal of Cheminformatics · 0 citations