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Delayed Stochastic Biochemical Reactions Reconstruction Based on Additive Reaction Model

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Abstract:

Stochastic dynamics and delayed time of biochemical reactions play an important role in the biological networks such as gene regulatory and metabolic networks. This paper presents a new model, called additive reaction model (ARM), to capture the stochastic dynamical and delayed behavior. The new evolutionary strategy is used to search the optimal biochemical model, in which genetic algorithm (GA) and particle swarm optimization (PSO) are employed to evolve the architecture and parameters of biochemical reactions, respectively. The results reveal that the delayed biochemical reaction modeling problems could be solved effectively and efficiently using our proposed new model and new evolutionary strategy.

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Advanced Materials Research IV View Preview

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Periodical:

Advanced Materials Research (Volume 894)

Pages:

280-283

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.894.280

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Online since:

February 2014

Authors:

Bin Yang, Chuan Zhu Liao, Ming Yan Jiang, Dong Feng Yuan

Keywords:

Automated Design, Delay Stochastic Biochemical Reactions, Delayed Stochastic Simulation Algorithm, Hybrid Evolutionary Strategy

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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