
Knowledge Graph & Large Language Model-Enhanced Organ on a Chip Database is a comprehensive, intelligent platform designed to accelerate biomedical research and drug discovery. This platform uniquely integrates multi-source biomedical data, organ-on-chip models, knowledge graphs, and AI-powered analytics into a unified, web-based system.
Key Features:
*Integrated Multi-Source Databases:Collection of data from multiple public databases and consolidation into 8 sub-databases.
*Organ-on-Chip Knowledge Graph:A curated knowledge graph linking organ-on-chip models with other biomedical data enabling intuitive navigation and relationship discovery.
*AI-Powered Drug Repurposing:Employs advanced link prediction and reinforcement learning techniques to suggest potential drug candidates for new disease targets.
*Intelligent Q&A System:Enables users to ask biomedical questions in natural language and receive context-aware, evidence-based answers from the knowledge graph.
This platform serves as a bridge between cutting-edge experimental systems and computational intelligence, offering powerful tools to researchers, clinicians, and pharmaceutical scientists.

Knowledge Graph
OCKG integrates biomedical data like organ chips, diseases, genes, and compounds, revealing their critical associations for advanced drug screening and disease research. Version 1.0 includes 76,540 nodes (17 types) and 2,315,561 relationships (21 types).

Drug Repurposing
Drug repurposing mines new uses for existing drugs, offering low cost, short cycles, and high safety compared to traditional methods. Using OCKG data, learning method accurately predicts drug-disease associations, aiding researchers in innovative drug development.

Intelligent Assistant
Our intelligent Q&A system, using RAG technology, integrates OCKG data, large language models, and knowledge graphs for efficient knowledge retrieval, breaking professional barriers, and enhancing user experience with a seamless interactive front-end page.


- March 20, 2025 - Media Coverage
- October 9, 2024 - Grantee/Partner News
- October 3, 2024 - Media Coverage
- September 4, 2024 - Grantee/Partner News
- August 29, 2024 - Grantee/Partner News
- August 13, 2024 - Grantee/Partner News


18Thousand
GSA

14Thousand
Drug

86
Diseases

122Thousand
Literature

17Thousand
Toxicants

4Million
Chemicals

36Thousand
Patent

98
Models