Mathematical modeling of translation initiation for the estimation of its efficiency to computationally design mRNA sequences with desired expression levels in prokaryotes |
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Authors: | Dokyun Na Sunjae Lee Doheon Lee |
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Affiliation: | (1) Department of Bio and Brain Engineering, KAIST, 335-Gwahangno, 305-701 Yuseong-gu, Daejeon, Republic of Korea;(2) Bioinformatics Research Center, KAIST, 335-Gwahangno, 305-701 Yuseong-gu, Daejeon, Republic of Korea |
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Abstract: | Background Within the emerging field of synthetic biology, engineering paradigms have recently been used to design biological systems with novel functionalities. One of the essential challenges hampering the construction of such systems is the need to precisely optimize protein expression levels for robust operation. However, it is difficult to design mRNA sequences for expression at targeted protein levels, since even a few nucleotide modifications around the start codon may alter translational efficiency and dramatically (up to 250-fold) change protein expression. Previous studies have used ad hoc approaches (e.g., random mutagenesis) to obtain the desired translational efficiencies for mRNA sequences. Hence, the development of a mathematical methodology capable of estimating translational efficiency would greatly facilitate the future design of mRNA sequences aimed at yielding desired protein expression levels. |
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