1. Network-based drug–target interaction prediction: Using machine learning and network-based approaches to predict drug–target interactions.

2. Pathway-based drug–target interaction prediction: Using machine learning and pathway-based approaches to predict drug–target interactions.

3. Network pharmacology-based drug repurposing: Developing a network pharmacology-based approach to identify novel indications for existing drugs.

4. Network pharmacology-based drug combination analysis: Developing a network pharmacology-based approach to identify synergistic drug combinations.

5. Data integration for network pharmacology: Developing methods for integrating heterogeneous data sources for network pharmacology applications.

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