Research

Research Platform | From Natural-Product Discovery to Mechanism and Translation

We integrate natural-product and drug screening, molecular and cellular biology, model organisms, long-term animal studies, multi-omics, and AI-assisted data integration across three connected research directions.

1. Natural Products and Healthy Aging

Beginning with yeast lifespan screening, we extend discoveries to human cells, model organisms, long-term mouse studies, and multi-organ multi-omics to determine how natural products influence healthspan, energy metabolism, mitochondrial function, and sex-specific biology.

2. DNA Repair and Cancer Therapy

We use functional screening to identify natural products that modulate DNA double-strand break repair, define their molecular pharmacology and cancer-cell repair vulnerabilities, and evaluate their potential to enhance chemotherapy and radiotherapy.

3. AI-Assisted Drug Discovery and Translational Research

Our workflow spans candidate discovery, AI-assisted prioritization, target identification and mechanistic validation, in vivo functional assessment, and patent strategy, advancing basic discoveries toward testable interventions for disease and healthy aging.

How AI Contributes to Our Research

We apply AI to multi-omics integration and drug discovery. AI-assisted analyses integrate high-dimensional RNA-seq, proteomic, acetylomic, and metabolomic datasets to identify consistent signals across tissues and omics layers, prioritize candidate targets, and generate experimentally testable mechanistic hypotheses.

For drug discovery, we combine molecular docking, structure-guided virtual screening, and AI-assisted prediction to analyze compound–target binding modes, prioritize candidate molecules, and guide subsequent structural optimization and mechanistic experiments. AI accelerates data integration, drug design, and candidate selection; all key conclusions remain subject to biochemical, cellular, molecular, and animal validation.