IntAct: Understanding Molecular Interactions Through High-Quality Data
IntAct serves as a crucial resource in molecular biology by providing researchers with carefully curated molecular interaction data, enabling the study of complex biological systems and networks.
Core Components
- Data Content Interaction Types:
- Protein-protein interactions
- Protein-small molecule
- Protein-nucleic acid
- Genetic interactions
- Post-translational modifications
- Data Quality Curation Standards:
- Manual expert curation
- Literature-based evidence
- Experimental validation
- Standardized ontologies
- Quality control metrics
Key Features
- Search Capabilities Search Options:
- Molecule identifiers
- Gene names
- Interaction types
- Experimental methods
- Publication references
- Analysis Tools Built-in Tools:
- Network visualization
- Data filtering
- Statistical analysis
- Export functions
- Integration options
Research Applications
- Systems Biology
- Network analysis
- Pathway mapping
- Interaction prediction
- Complex identification
- Regulatory networks
- Drug Discovery
- Target identification
- Mechanism studies
- Drug-protein interactions
- Side effect prediction
- Therapeutic strategies
- Disease Research
- Disease networks
- Pathway analysis
- Biomarker discovery
- Mechanism understanding
- Target validation