Drug Target Research Unit
- Development of diagnostic and therapeutic technologies through the discovery and validation of therapeutic targets related to diseases (cancer, metabolic diseases, and infectious diseases) using AI and multi-omics convergence technologies
- Establishment of a personalized therapy–toxicity evaluation platform by integrating human-derived 3D models with single-cell omics analysis, thereby strengthening innovative drug development capabilities and providing research support
Research Content
LLM agent-based transcriptomics AI analysis platform
Establishment and application of a phenomics analysis platform based on single-cell and 3D model systems
Research Infrastructure
Discovery of Disease Targets and Functional Mechanism Elucidation
- Identification of key targets involved in disease onset and progression through analysis of disease models based on single-cell transcriptomics
- In-depth elucidation of the biological functions and mechanisms of action of identified targets
- Establishment of reliable biological evidence that serves as the foundation for drug development
AI-based Integrated Analysis of Omics Data
- AI-based quantitative and integrative analysis of diverse omics datasets including genomics, transcriptomics, and proteomics
- Discovery of novel disease targets and data-driven understanding of complex biological processes using machine learning and deep learning techniques
- Improvement of precision and predictive accuracy in data-driven studies of disease mechanisms
Establishment of an AI-omics-based Drug Discovery Platform
- Development of an AI-based system for candidate compound discovery and efficacy prediction by integrating target discovery, mechanism studies, and omics analysis results
- Establishment of an intelligent drug discovery platform that organically integrates omics data, AI prediction, and experimental validation