TRANSPATH: an information resource for storing and visualizing signaling pathways and their pathological aberrations

Area of Science:

• Molecular Biology
• Bioinformatics
• Systems Biology

Background:

• Signal transduction pathways are crucial for cellular communication and function.
• Databases are essential for organizing and accessing complex biological information.
• Existing resources may lack comprehensive integration of signaling molecules, reactions, and pathological data.

Purpose of the Study:

• To present TRANSPATH, a database for signal transduction events.
• To describe the hierarchical organization of signaling molecules and reactions.
• To introduce PathoSign for pathological mutation data and its utility.

Main Methods:

• Development of orthogonal hierarchies for classifying signaling molecules.
• Implementation of a three-layer architecture for organizing reactions (publication-evidenced, reference pathways, semantic projections).
• Integration of pathological mutation data (genotypes, phenotypes) via the PathoSign module.

Main Results:

• TRANSPATH provides detailed information on signaling molecules, reactions, and pathways.
• Hierarchical structures facilitate organized representation and retrieval of data.
• PathwayBuilder tool enables visualization, and PathoSign adds clinical relevance.

Conclusions:

• TRANSPATH and PathoSign offer a valuable resource for understanding signal transduction.
• The database supports encyclopedic use, education, visualization, and modeling of signaling networks.
• TRANSPATH Public 6.0 is accessible for non-profit users, promoting research and education.