PIVOT

PIVOT visualizes and analyzes protein-protein interaction networks by integrating private and public interaction datasets and predicting novel interactions through homologous relationships across species.

Key Features:

• Network visualization: Produces network views centered on a specified protein to represent protein-protein interactions as graph structures.
• Data integration: Merges user-provided and public interaction datasets into a unified interaction network for combined analysis.
• Path search: Identifies connecting paths between proteins within the interaction graph to explore hypothesized cooperation.
• Homology-based prediction: Infers potential interactions by mapping known interactions among homologous proteins across different species.
• Visualization options and query filters: Provides visual annotation and query-based filtering capabilities to refine network-based analyses.

Scientific Applications:

• Systems biology: Analyzes global protein interaction architecture to investigate cellular processes and network organization.
• Functional genomics: Associates proteins with functions and processes by examining interaction partners and network topology.
• Evolutionary biology: Studies conserved interactions and cross-species homology of protein interactions to infer evolutionary relationships.
• Discovery of novel pathways: Predicts previously unobserved interactions to propose new biological pathways and mechanisms.

Methodology:

Applies graph-theory algorithms for network visualization and analysis and integrates homologous interaction information across species for interaction prediction.