Features
Database Statistics
PlantConnectome is built from scientific literature processed with GPT assistance to extract relationships between plant science entities.
Key Features
- Multiple Search Modes: Gene/Word and Substring searches for flexible entity discovery.
- Interactive Network Visualization: Explore relationships using Cytoscape.js-powered network graphs.
- Author Search: Find all relationships from papers by a specific author.
- PubMed Integration: Search by PubMed ID to see all extracted relationships.
- AI-Powered Summaries: Generate summaries of relationships using GPT models.
- API Access: Programmatic access to search results via REST API.
Entity Categories
- Plant/Organism: Plants, crops, model organisms, and plant communities
- Gene/Protein: Genes, proteins, enzymes, transcription factors, and protein complexes
- Chemical: Metabolites, hormones, compounds, and molecules
- Disease/Stress: Plant diseases, abiotic stress, pathogens, and disorders
- Cell/Compartment: Cells, organelles, tissues, and anatomical structures
- Biological Process: Pathways, metabolic processes, signaling, and biological functions
- Treatment: Experimental conditions, growth conditions, and interventions
- Taxonomy: Phylum, class, order, family, genus, species, cultivar
