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Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

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GridCell: a stochastic particle-based biological system simulator.

Laurier Boulianne¹, Sevin Al Assaad, Michel Dumontier

¹Department of Electrical and Computer Engineering, McGill University, Montreal, QC, H3A 2A7, Canada. laurier.boulianne@mail.mcgill.ca

BMC Systems Biology

|July 25, 2008

Summary

GridCell is a new 3D simulation environment for biochemical networks. It tracks individual particles to reveal how spatial effects like crowding influence biological processes.

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Area of Science:

Biochemistry
Computational Biology
Systems Biology

Background:

Biochemical simulators enhance understanding of complex biological processes.
Stochastic and spatial effects significantly regulate biological systems.
Accurate simulations offer insights into challenging experimental observations.

Purpose of the Study:

To develop a 3D simulation environment for biochemical networks.
To investigate the impact of spatial influences on biochemical behavior.
To enable tracking of individual particles in complex biological systems.

Main Methods:

Developed GridCell, a 3D discrete grid simulation environment.
Implemented particle tracking and characterization for individual molecules.
Integrated Systems Biology Markup Language (SBML) support for existing networks.
Utilized an intuitive user interface for spatial and temporal analysis.

Main Results:

GridCell effectively simulates biochemical networks in 3D space.
The environment tracks individual particles, revealing insights into low copy number molecule behavior.
Demonstrated the influence of crowding on a Michaelis-Menten reaction system.
Facilitated visualization and analysis of spatial and temporal dynamics.

Conclusions:

GridCell is an effective stochastic particle simulator for 3D biochemical systems.
It allows investigation of spatial influences like crowding and co-localization.
The tool provides valuable insights into particle behavior in complex biological networks.