A novel coding method for gene mutation correction during protein translation process

In gene expression, gene mutations often lead to negative effect of protein translation in prokaryotic organisms. With consideration of the influences produced by gene mutation, a novel method based on error-correction coding theory is proposed for modeling and detection of translation initiation in this paper. In the proposed method, combined with a one-dimensional codebook from block coding, a decoding method based on the minimum hamming distance is designed for analysis of translation efficiency. The results show that the proposed method can recognize the biologically significant regions such as Shine–Dalgarno region within the mRNA leader sequences effectively. Also, a global analysis of single base and multiple bases mutations of the Shine–Dalgarno sequences are established. Compared with other published experimental methods for mutation analysis, the translation initiation can not be disturbed by multiple bases mutations using the proposed method, which shows the effectiveness of this method in improving the translation efficiency and its biological relevance for genetic regulatory system.

► The proposed coding model designed based on the implied (6, 3) code mechanism is successful.
► An improved 2D graphical representation is used with consideration of triplet codons.
► During translation process, the proposed coding model overcomes the gene mutations.
► In design of decoder, an effective code book is proposed.
► This paper processed two cases: single base mutation and multiple bases mutation.