IntAct

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

1. Data Content Interaction Types:

• Protein-protein interactions
• Protein-small molecule
• Protein-nucleic acid
• Genetic interactions
• Post-translational modifications

2. Data Quality Curation Standards:

• Manual expert curation
• Literature-based evidence
• Experimental validation
• Standardized ontologies
• Quality control metrics

Key Features

1. Search Capabilities Search Options:

• Molecule identifiers
• Gene names
• Interaction types
• Experimental methods
• Publication references

2. Analysis Tools Built-in Tools:

• Network visualization
• Data filtering
• Statistical analysis
• Export functions
• Integration options

Research Applications

1. Systems Biology

• Network analysis
• Pathway mapping
• Interaction prediction
• Complex identification
• Regulatory networks

2. Drug Discovery

• Target identification
• Mechanism studies
• Drug-protein interactions
• Side effect prediction
• Therapeutic strategies

3. Disease Research

• Disease networks
• Pathway analysis
• Biomarker discovery
• Mechanism understanding
• Target validation