PathCase-SB: integrating data sources and providing tools for systems biology research

Area of Science:

• Systems Biology
• Computational Biology
• Metabolic Networks

Background:

• Effective systems biology research requires integrating metabolic pathway resources and network models.
• Developing computational tools on an integrated platform enhances the understanding of metabolic network regulation.

Purpose of the Study:

• To integrate regulatory metabolic networks and existing models into a single database environment.
• To build computational tools for modeling and analysis in systems biology research.

Main Methods:

• Developed PathCase Systems Biology (PathCase-SB), a database-enabled framework.
• Created web-based computational tools for kinetic model development.
• Integrated data from BioModels Database and KEGG into the PathCase-SB system.

Main Results:

• PathCase-SB provides a unified platform for systems biology models and metabolic network data.
• The system facilitates the development of kinetic models for biological systems.
• Web-based tools enhance capabilities compared to original data sources.

Conclusions:

• PathCase-SB offers expanded capabilities through its Browser, Visualization, Querying, and Simulation interfaces.
• The platform is available online and is actively used by researchers globally.
• PathCase-SB advances systems biology research by integrating diverse data and providing analytical tools.