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Reconstruction of transcription-translation dynamics with a model of gene networks.

机译:用基因网络模型重建转录-翻译动力学。

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摘要

A transcription-translation model of gene networks and a method to reconstruct it from gene expression data are proposed. The model is a hybrid system based on the Glass network with continuous-time dynamics and logical interactions. Transcription-translation dynamics is introduced into the Glass network. The reconstruction of gene networks is reduced to the problem of estimating logical functions from binary representations of quantities of mRNAs and proteins. The reconstruction method is applied to the gene expression data of circadian rhythms. The response characteristics of the reconstructed gene network to periodic stimuli are analyzed. The results suggest the existence of a receiver gene that responds to an external signal, consistently with biological knowledge.
机译:提出了一种基因网络的转录翻译模型及其从基因表达数据重构的方法。该模型是基于Glass网络的混合系统,具有连续时间动态和逻辑交互。转录-翻译动力学被引入Glass网络。基因网络的重建被简化为根据mRNA和蛋白质数量的二进制表示来估计逻辑功能的问题。该重建方法应用于昼夜节律的基因表达数据。分析了重建的基因网络对周期性刺激的响应特性。结果表明存在与生物知识一致的,对外部信号有反应的受体基因。

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