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Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
Published on: April 15, 2015
Complexity and modularity of intracellular networks: a systematic approach for modelling and simulation
M L Blinov1, O Ruebenacker, I I Moraru
1University of Connecticut Health Center, Center of Cell Analysis and Modeling, Farmington, CT, USA. blinov@uchc.edu
IET Systems Biology
|December 3, 2008
Summary
Quantitative models of large biological networks face challenges from combinatorial complexity. This study presents a semi-automatic approach using pathway databases and interaction rules within the Virtual Cell (VCell) framework to generate and reuse model components.
Area of Science:
- Systems Biology
- Computational Biology
- Biophysics
Background:
- Large-scale quantitative models of biological networks are essential for understanding cellular processes.
- Combinatorial complexity arising from numerous molecular species and interactions poses significant challenges in model assembly and simulation.
- Recasting or expanding existing models is difficult due to the need for meticulous tracking of changes and new elements.
Purpose of the Study:
- To describe a novel approach for semi-automatic generation of quantitative mathematical models for large, complex biological networks.
- To facilitate the reuse of model components and simplify model modification within the Virtual Cell (VCell) environment.
- To address the challenges of combinatorial complexity and model management in systems biology.
Main Methods:
- Automatic extraction of model components from pathway databases using the BioPAX ontology.
- Utilizing BioNetGen rules as reaction network generators for defining molecular interactions.
- Integration of BioPAX, BioNetGen, and the VCell modeling and simulation framework for semi-automatic model generation.
Main Results:
- A method for semi-automatic generation of quantitative models from pathway databases and interaction rules is established.
- The approach enables the assembly of kinetic models from separately constructed modules, enhancing modularity and reusability.
- The VCell framework, combined with BioPAX and BioNetGen, provides a robust platform for managing complex network models.
Conclusions:
- The described approach effectively mitigates the challenges of combinatorial complexity in large biological network modeling.
- Semi-automatic model generation and component reuse streamline the process of creating and updating quantitative models.
- This integrated methodology enhances the tractability of validating, visualizing, and understanding complex signaling networks.
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