Studying Noise in a Biochemical Network
Author Information
Author(s): Intosalmi Jukka, Manninen Tiina, Ruohonen Keijo, Linne Marja-Leena
Primary Institution: Tampere University of Technology
Hypothesis
The role of noise in biochemical systems can be quantitatively analyzed through simulations.
Conclusion
Noise plays an important role in biochemical systems, and its properties can be studied by simulating the system in different cellular volumes.
Supporting Evidence
- Noise can make biochemical systems more robust to external changes.
- The strength of noise decreases as the volume of the system increases.
- Different species in the network exhibit varying levels of noise.
- Parallel computing techniques allowed for efficient simulation of large networks.
Takeaway
This study looks at how noise affects chemical reactions in cells, showing that noise can actually help the system work better.
Methodology
The study used the Gillespie stochastic simulation algorithm to simulate a large biochemical network in 300 different cellular volumes.
Limitations
The study focuses on a specific biochemical network and may not generalize to all systems.
Digital Object Identifier (DOI)
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