DocumentCode :
589214
Title :
Building Synthetic Networks of the Budding Yeast Cell-Cycle Using Swarm Intelligence
Author :
Ruz, Gonzalo A. ; Timmermann, T. ; Goles, Eric
Author_Institution :
Fac. de Ing. y Cienc., Univ. Adolfo Ibanez, Santiago, Chile
Volume :
1
fYear :
2012
fDate :
12-15 Dec. 2012
Firstpage :
120
Lastpage :
125
Abstract :
A swarm intelligence technique called the bees algorithm is formulated to build synthetic networks of the budding yeast cell-cycle. The resulting networks contain the original fixed points of the budding yeast cell-cycle network plus additional fixed points to reduce the basin size of the fixed point associated to the G1 phase of the cell-cycle, with the purpose of promoting cell proliferation for biotechnological applications. One thousand synthetic networks were found using the bees algorithm, 84.5% had basins size for the G1 fixed point less or equal to 10, whereas the original model has a basin size for that fixed point of 1764. One of the synthetic networks was analyzed by a biologist concluding that the resulting model was quite consistent from a biological point of view, supporting the proposed method as a tool for biologist to construct synthetic networks with desired characteristics.
Keywords :
biology computing; swarm intelligence; G1 phase; basin size; bees algorithm; biologist; biotechnological applications; budding yeast cell-cycle; cell proliferation; swarm intelligence; synthetic networks; Barium; Biological system modeling; Computational modeling; Limit-cycles; Particle swarm optimization; Stationary state; Boolean networks; bees algorithm; cell-cycle; computational biology; gene regulatory networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications (ICMLA), 2012 11th International Conference on
Conference_Location :
Boca Raton, FL
Print_ISBN :
978-1-4673-4651-1
Type :
conf
DOI :
10.1109/ICMLA.2012.29
Filename :
6406599
Link To Document :
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