HitPredict

HitPredict assigns reliability scores to protein-protein interactions across nine species to provide quality-assessed PPI data for accurate biological analyses.

Key Features:

• Reliability scoring: Assigns a reliability score to each interaction based on integrated evidence.
• Evidence integration: Computes scores by integrating sequence data, structural information, and functional annotations of interacting proteins.
• Dataset size and coverage: Contains 36,930 proteins and 176,983 non-redundant physical interactions across nine species.
• High-confidence interactions: Labels approximately 66% (116,198) of interactions as high confidence.
• Update frequency: Updated annually since 2005.

Scientific Applications:

• Systems biology: Provides curated PPI networks for network analysis and modeling of molecular interactions.
• Drug discovery: Supplies validated protein interaction information to support target identification and validation.
• Functional genomics: Enables inference of protein function and generation of interaction-based hypotheses.

Methodology:

Reliability scores are computed by integrating evidence from sequence data, structural information, and functional annotations for interacting proteins.