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• W2552580427 abstract "Codon adaptation index (CAI) has been widely used for prediction of expression of recombinant genes in Escherichia coli and other organisms. However, CAI has no mechanistic basis that rationalizes its application to estimation of translational efficiency. Here, I propose a model based on which we could consider how codon usage is related to the level of expression during exponential growth of bacteria. In this model, translation of a gene is considered as an analog of electric current, and an analog of electric resistance corresponding to each gene is considered. Translational resistance is dependent on the steady-state concentration and the sequence of the mRNA species, and translational resistivity is dependent only on the mRNA sequence. The latter is the sum of two parts: one is the resistivity for the elongation reaction (coding sequence resistivity), and the other comes from all of the other steps of the decoding reaction. This electric circuit model clearly shows that some conditions should be met for codon composition of a coding sequence to correlate well with its expression level. On the other hand, I calculated relative frequency of each of the 61 sense codon triplets translated during exponential growth of E. coli from a proteomic dataset covering over 2600 proteins. A tentative method for estimating relative coding sequence resistivity based on the data is presented." @default.
• W2552580427 created "2016-11-30" @default.
• W2552580427 creator A5085701117 @default.
• W2552580427 date "2017-01-01" @default.
• W2552580427 modified "2023-09-27" @default.
• W2552580427 title "Translational resistivity/conductivity of coding sequences during exponential growth of Escherichia coli" @default.
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• W2552580427 doi "https://doi.org/10.1016/j.jtbi.2016.11.015" @default.
• W2552580427 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27876621" @default.
• W2552580427 hasPublicationYear "2017" @default.
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