This course provides an in-depth introduction to network pharmacology, a systems biology approach to understanding drug mechanisms and interactions at a network level. Integrated with cutting-edge OMICs research, participants will explore the foundational and advanced concepts of network pharmacology, including methods to investigate multi-target drug actions and predict drug efficacy and safety. Students will learn to navigate and utilize data sources for OMICs studies and gain familiarity with essential tools like STRING, Cytoscape, and R-Studio, as well as enrichment analysis techniques. The course includes hands-on sessions, where participants will build and analyze pharmacological networks, apply statistical methods, and interpret complex biological data to uncover potential therapeutic targets and pathways. By the end of the course, students will be equipped with the computational skills and theoretical knowledge necessary for advanced research or professional work in network pharmacology and drug discovery.

1. Introduction to Network Pharmacology Integrated with OMICs Research
2. Key Concepts in Network Pharmacology from Basic to Advanced
3. Data Sources for OMICs Study, Tools Related in Network Pharmacology, and Statistic Methods
4. Hands-on building and Analyzing Pharmacological Networks using STRING, Cytoscape, R-Studio, Enrichment Analysis, etc