DocumentCode
2004057
Title
Reconstructing regulatory networks in Streptomyces using evolutionary algorithms
Author
Thomas, Spencer Angus ; Yaochu Jin ; Laing, Emma ; Smith, Colin P.
Author_Institution
Dept. of Comput., Univ. of Surrey, Guildford, UK
fYear
2013
fDate
9-11 Sept. 2013
Firstpage
24
Lastpage
30
Abstract
Reconstructing biological networks is vital in developing our understanding of nature. Biological systems of particular interest are bacteria that can produce antibiotics during their life cycle. Such an organism is the soil dwelling bacterium Streptomyces coelicolor. Although some of the genes involved in the production of antibiotics in the bacterium have been identified, how these genes are regulated and their specific role in antibiotic production is unknown. By understanding the network structure and gene regulation involved it may be possible to improve the production of antibiotics from this bacterium. Here we use an evolutionary algorithm to optimise parameters in the gene regulatory network of a sub-set of genes in S. coelicolor involved in antibiotic production. We present some of our preliminary results based on real gene expression data for continuous and discrete modelling techniques.
Keywords
antibacterial activity; evolutionary computation; genetics; microorganisms; S. coelicolor; Streptomyces coelicolor; antibiotics production; bacteria life cycle; biological network reconstruction; biological systems; continuous modelling technique; discrete modelling technique; evolutionary algorithm; gene expression data; gene regulation; gene regulatory network; network structure; organism; parameter optimisation; regulatory network reconstruction; soil dwelling bacterium; Antibiotics; Biological system modeling; Data models; Gene expression; Mathematical model; Production; Proteins; Gene Regulatory Networks; Network Reconstruction; Streptomyces coelicolor;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence (UKCI), 2013 13th UK Workshop on
Conference_Location
Guildford
Print_ISBN
978-1-4799-1566-8
Type
conf
DOI
10.1109/UKCI.2013.6651283
Filename
6651283
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