Presyncodon, a Web Server for Gene Design with the Evolutionary Information of the Expression Hosts

文献类型： 外文期刊

第一作者： Tian, Jian

作者： Tian, Jian;Li, Qingbin;Chu, Xiaoyu;Wu, Ningfeng;Li, Qingbin

作者机构：

关键词： gene design; presyncodon; expression host; codon optimization; web server

期刊名称：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES （ 影响因子：5.923； 五年影响因子：6.132 ）

ISSN： 1422-0067

年卷期： 2018 年 19 卷 12 期

页码：

收录情况： SCI

摘要： In the natural host, most of the synonymous codons of a gene have been evolutionarily selected and related to protein expression and function. However, for the design of a new gene, most of the existing codon optimization tools select the high-frequency-usage codons and neglect the contribution of the low-frequency-usage codons (rare codons) to the expression of the target gene in the host. In this study, we developed the method Presyncodon, available in a web version, to predict the gene code from a protein sequence, using built-in evolutionary information on a specific expression host. The synonymous codon-usage pattern of a peptide was studied from three genomic datasets (Escherichia coli, Bacillus subtilis, and Saccharomyces cerevisiae). Machine-learning models were constructed to predict a selection of synonymous codons (low- or high-frequency-usage codon) in a gene. This method could be easily and efficiently used to design new genes from protein sequences for optimal expression in three expression hosts (E. coli, B. subtilis, and S. cerevisiae). Presyncodon is free to academic and noncommercial users; accessible at http://www.mobioinfor.cn/presyncodon_www/index.html.

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