simBio: a Java package for the development of detailed cell models.

Area of Science:

• Computational Biology
• Systems Biology
• Biophysics

Background:

• Quantitative dynamic computer models are essential for testing hypotheses in molecular and cellular biology.
• Existing tools may lack flexibility or ease of use for constructing diverse cell models.

Purpose of the Study:

• To introduce simBio, a novel software package for building and simulating quantitative dynamic cell models.
• To provide a flexible and reusable framework for computational cell modeling.

Main Methods:

• Developed simBio using Java and XML, capable of solving ordinary differential equations.
• Implemented a modular approach where cell models are composed of functional 'Reactors' (e.g., ion channels) and 'Nodes' (e.g., ion concentrations).
• Utilized graph theory to describe interactions between components and object-oriented programming for modularity and reusability.

Main Results:

• simBio facilitates the construction of various cell models, including cardiac, epithelial, and pancreatic beta cells.
• The package allows for hierarchical organization and independent development of functional modules (Reactors).
• Object-oriented design enables easy reuse of modules across different models, creating a common database of functional components.

Conclusions:

• simBio offers a straightforward and efficient system for creating diverse cell models.
• The modular and object-oriented design promotes flexibility, reusability, and simplification of complex cellular system modeling.