hiPathDB

hiPathDB integrates curated human pathway data from NCI-Nature PID, Reactome, BioCarta, and KEGG into a unified representation to enable comprehensive exploration of signaling networks and pathway cross-talk.

Key Features:

• Comprehensive Pathway Integration: Consolidates 1,661 distinct pathways comprising 8,976 unique physical entities from NCI-Nature PID, Reactome, BioCarta, and KEGG.
• Pathway-Level Integration: Reformats individual pathways to a unified model that accounts for the specific representations of each source database.
• Entity-Level Integration: Merges common components across different pathways into single unified pathways to facilitate network-level analyses while noting potential loss of detailed molecular-level information.
• Pathway Visualization: Includes a built-in visualization module for exploratory analysis of complex biological networks.
• Optimized Layout Algorithm: Employs an optimized layout algorithm to enable near-automatic rendering of pathway diagrams.

Scientific Applications:

• Exploration of Signaling Networks: Enables comprehensive investigation of signaling networks by integrating pathways at both the pathway and entity levels.
• Identification of Pathway Cross-Talks: Supports identification of interactions between distinct pathways to elucidate complex regulatory mechanisms.

Methodology:

The integration process uses a model that accounts for the distinct features of each contributing database, and the visualization component uses an optimized layout algorithm for automatic pathway rendering.