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Impact Analysis of Gene Deletion on the Metabolic Flux Distribution of E.coli and on Its Flux-backbone: Genome-Scale Simulation Approach

机译:基因缺失对大肠杆菌代谢通量分布的影响分析及其磁通骨架:基因组尺度模拟方法

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Based on the gene-protein-reaction (GPR) model of E.coli iAF1260 and the method of constraint-based analysis, we first calculated the metabolic flux distribution of E.coli_iAF1260 and determined its high-flux-backbone. Then we calculated the deletion impact of calculable 896 genes, one by one, on the metabolic flux redistribution of E.coli_iAF1260. Next we analyzed the relativity between v (describing deletion impact of one gene) and d (connection degree of one gene) and the relativity between v and v{sub}(gene) (flux sum controlled by one gene), and found that both of them were not of linear relativity. Furthermore, we seek out 32 important genes that most greatly affected the metabolic flux distribution, determined their functional subsystems and found that many of 32 key genes were related to "Alternate Carbon Metabolism" and "Transport Inner Membrane" subsystems. At the same time, by computation, we found these key genes affected high flux backbone (HFB) not greatly. Because the in silico model of E.coli_iAF1260 was tested by many experiments, thus is credible, we can conclude that the result we got has biological significances.
机译:基于该基因蛋白反应大肠杆菌iAF1260的(GPR)模型和基于约束的分析的方法中,我们首先计算E.coli_iAF1260的代谢通量分布并确定其高通量的主链。然后我们计算的可计算的896个基因缺失的影响,一个接一个,在E.coli_iAF1260的代谢流再分配。接着我们分析V之间的相关性(描述一个基因的缺失影响)和d(一种基因的连接程度)和v和v {子}(基因)(通量总和由一个基因控制)之间的相关性,并且发现,无论他们都是线性相关的不行。此外,我们寻求的是最大大影响了代谢通量分布32个的重要基因,决定了其功能子系统,发现很多32个关键基因均与“备用碳代谢”和“交通运输内膜”子系统。同时,通过计算,我们发现这些关键基因的影响高通量骨干(HFB)不是很大。由于E.coli_iAF1260的在硅片模型,通过大量的实验测试,因而是可信的,我们可以得出结论,我们得到的结果具有生物学意义。

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