Database of interacting proteins (DIP)

Database of Interacting Proteins (DIP) catalogs experimentally determined protein-protein interactions to support analysis of complex biological networks and comparative studies.

Key Features:

• Extensive Interaction Data: As of September 2001, DIP catalogs approximately 11,000 unique protein-protein interactions among over 5,900 proteins from more than 80 organisms, including yeast, Helicobacter pylori, and humans.
• Quality Assessment: DIP employs quality assessment methods and identifies a CORE set of interactions representing the most reliable subset for benchmarking and predictive-model development.
• Network Visualization and Navigation: Provides interactive tools for visualization and navigation of protein interaction networks in static and dynamic formats.
• Data Integration and Extraction: Integrates diverse sources of experimental evidence and enables browsing, extraction, and analysis of protein interaction network information.
• Community Data Submission: Accepts community-submitted protein-protein interactions and updates to database entries to expand and curate the repository.

Scientific Applications:

• Network analysis: Enables analysis of protein interaction networks to investigate cellular processes and functional organization.
• Drug target identification: Supports identification and prioritization of potential drug targets through interaction-context analysis.
• Comparative and evolutionary studies: Facilitates cross-species comparisons of protein interactions to explore evolutionary relationships.
• High-throughput data validation: Provides a CORE reference set and quality metrics for validating and interpreting high-throughput interaction datasets.
• Hypothesis generation: Supports generation and testing of hypotheses about protein function and interaction-driven mechanisms.

Methodology:

Documents experimentally determined interactions, integrates diverse sources of experimental evidence, employs quality assessment methods to define a CORE interaction set, and implements interactive visualization and data extraction tools.