利用进化算法重建链霉菌的调控网络

S. Thomas, Yaochu Jin, E. Laing, Colin P. Smith
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引用次数: 2

摘要

重建生物网络对于发展我们对自然的理解至关重要。特别令人感兴趣的生物系统是在其生命周期中可以产生抗生素的细菌。这样一种有机体就是居住在土壤中的细菌——色链霉菌。虽然已经确定了一些参与细菌抗生素生产的基因,但这些基因是如何调节的以及它们在抗生素生产中的具体作用尚不清楚。通过了解网络结构和涉及的基因调控,有可能改善从这种细菌生产抗生素。在这里,我们使用一种进化算法来优化葡萄球菌中参与抗生素生产的一组基因的基因调控网络中的参数。我们提出了一些基于连续和离散建模技术的真实基因表达数据的初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reconstructing regulatory networks in Streptomyces using evolutionary algorithms
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.
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