Our Lab's Goal : Data-Driven Drug Discovery
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Pharmacological control of disease at network level !
Research Focus
Constructing predictive models of cellular states using generative AI and large-scale omics data.
Single-cell Foundation Model
Multi-omics Integration
Perturbation Biology
Network Control Theory
Dissecting spatiotemporal evolution of cancer drug resistance and microenvironmental interactions.
Spatial Transcriptomics
Combinatorial Immunotherapy
Acquired Resistance
Tumor-Immune Microenvironment
Uncovering master regulators and mechanism-driven therapeutics for complex diseases.
Sarcopenia & Muscle Atrophy
Neurodegenerative Disease
(Alzheimer's & Parkinson's disease)
Aging & Regeneration
Molecular signature-guided drug discovery and repositioning by predicting mechanism of action (MoA).
Drug Repositioning
Natural Product / Herbal Medicine
Pharmacotranscriptomics
Docking Simulation & Molecular Dynamics
Lab Instagram
We have open positions for the enthusiastic candidates interested in Data-Driven Drug Discovery.
충남대학교 약학대학 시스템생리학 연구실에서
데이터 기반 약물 개발에 관심있는 학부생, 대학원생,연구원 분들을 모집합니다.