Complex+

Complex+ integrates diverse interaction data and regularization methods to refine, prioritize, and validate protein complex interactions within interactomes for hypothesis-driven studies.

Key Features:

• Integration of Multiple Data Types: Integrates diverse interaction data types and properties from multiple sources to provide a holistic view of potential protein interactions.
• Regularization Methods: Applies regularization methods to refine computed protein interaction networks and improve reliability in identifying confirmed and candidate physical interactors.
• Comparison with Gold-Standard Databases: Compares computed networks against the EMBL-EBI Complex Portal to validate and enhance interaction credibility.
• Hypothesis Formation and Validation: Facilitates generation and prioritization of hypotheses about interactions lacking conclusive evidence to guide experimental validation.

Scientific Applications:

• Protein Complex Characterization: Enables curation and identification of bona fide and candidate interactors for studies of protein complex composition and function.
• Interactome Gap Analysis: Supports selection of research strategies targeting missing information within the human protein interactome.
• Experimental Prioritization: Guides experimental design and prioritization for targeted validation of predicted interactions.

Methodology:

Integrates diverse interaction data types, applies regularization methods to refine interaction networks, and compares refined networks with the EMBL-EBI Complex Portal.