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A Ribosome Flow Model for Analyzing Translation Elongation (Extended Abstract)

机译:用于分析翻译延伸的核糖体流模型(扩展摘要)

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摘要

We describe the first genome wide analysis of translation based on a model aimed at capturing the physical and dynamical aspects of this process. The Ribosomal Flow Model (RFM) is a computationally efficient approximation of the Totally Asymmetric Exclusion Process (TASEP) model (e.g. see [1]). The RFM is sensitive to the order of codons in the coding sequence, the tRNA pool of the organism, interactions between ribosomes and their size (see Figure 1). The RFM predicts fundamental outcomes of the translation process, including translation rates, protein abundance and ribosomal densities [2] and the relation between all these variables, better than alternative ('non-physical') approaches (e.g. see [3,4]). In addition, we show that the RFM model can be used for accurate inference of initiation rates, the effect of codon order on protein abundance and the cost of translation. All these variables could not be inferred by previous predictors.
机译:我们基于旨在捕获此过程的物理和动态方面的模型描述了翻译的第一个全基因组范围分析。核糖体流动模型(RFM)是完全不对称排斥过程(TASEP)模型的计算有效近似(例如,参见[1])。 RFM对编码序列中密码子的顺序,生物体的tRNA库,核糖体之间的相互作用及其大小敏感(见图1)。 RFM预测翻译过程的基本结果,包括翻译率,蛋白质丰度和核糖体密度[2]以及所有这些变量之间的关系,优于替代(“非物理”)方法(例如,参见[3,4]) 。此外,我们表明,RFM模型可用于准确推断起始速率,密码子顺序对蛋白质丰度的影响以及翻译成本。所有这些变量都不能由先前的预测变量来推断。

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