TarNet: An Evidence-Based Database for Natural Medicine Research

Area of Science:

• Computational Biology
• Network Pharmacology
• Drug Discovery

Background:

• Complex diseases require novel therapeutic strategies beyond single-target approaches.
• Traditional herbal medicines offer a rich source for discovering new multicomponent drugs.
• Analyzing intricate drug-target interactions is crucial for developing effective treatments.

Purpose of the Study:

• To develop TarNet, a comprehensive database and platform for traditional medicinal plants and their associated compounds.
• To facilitate the analysis of plant compound-protein relationships and protein-protein interactions (PPIs).
• To enable network construction and systems-level analysis for complex diseases.

Main Methods:

• Manual curation of a database linking traditional medicinal plants, natural compounds, and potential protein targets.
• Integration of protein-protein interaction (PPI) data relevant to medicinal compounds.
• Development of a platform for network analysis, including pathway and subnetwork analyses.

Main Results:

• TarNet provides a manually curated collection of traditional medicinal plants, compounds, and their bio-targets.
• The platform integrates plant-compound-protein relationships and PPI data.
• Researchers can generate disease-specific networks and perform various network analyses.

Conclusions:

• TarNet serves as a valuable tool for systems biology and network pharmacology research.
• It offers insights into medicinal plant compounds, their protein targets, and system-level effects.
• The database and platform are freely accessible with tutorials for user guidance.