Li Ruifang, Li Hong, Feng Xue, Zhao Ruifeng, Cheng Yongxia
College of Physics and Electronic Information, Inner Mongolia Normal University, Hohhot, China.
School of Physical Science and Technology, Inner Mongolia University, Hohhot, China.
Front Genet. 2021 Apr 6;12:635250. doi: 10.3389/fgene.2021.635250. eCollection 2021.
Many works have reported that protein folding rates are influenced by the characteristics of amino acid sequences and protein structures. However, few reports on the problem of whether the corresponding mRNA sequences are related to the protein folding rates can be found. An mRNA sequence is regarded as a kind of genetic language, and its vocabulary and phraseology must provide influential information regarding the protein folding rate. In the present work, linear regressions on the parameters of the vocabulary and phraseology of mRNA sequences and the corresponding protein folding rates were analyzed. The results indicated that (the adjacent base-related information redundancy) values and the GC content values of the corresponding mRNA sequences exhibit significant negative relations with the protein folding rates, but (the single base information redundancy) values exhibit significant positive relations with the protein folding rates. In addition, the results show that the relationships between the parameters of the genetic language and the corresponding protein folding rates are obviously different for different protein groups. Some useful parameters that are related to protein folding rates were found. The results indicate that when predicting protein folding rates, the information from protein structures and their amino acid sequences is insufficient, and some information for regulating the protein folding rates must be derived from the mRNA sequences.
许多研究报告称，蛋白质折叠速率受氨基酸序列和蛋白质结构特征的影响。然而，关于相应的mRNA序列是否与蛋白质折叠速率相关这一问题的报道却很少。mRNA序列被视为一种遗传语言，其词汇和措辞必定会提供有关蛋白质折叠速率的有影响的信息。在本研究中，分析了mRNA序列的词汇和措辞参数与相应蛋白质折叠速率之间的线性回归。结果表明，相应mRNA序列的（相邻碱基相关信息冗余）值和GC含量值与蛋白质折叠速率呈现显著负相关，但（单碱基信息冗余）值与蛋白质折叠速率呈现显著正相关。此外，结果表明，对于不同的蛋白质组，遗传语言参数与相应蛋白质折叠速率之间的关系明显不同。发现了一些与蛋白质折叠速率相关的有用参数。结果表明，在预测蛋白质折叠速率时，来自蛋白质结构及其氨基酸序列的信息是不够的，一些调节蛋白质折叠速率的信息必须从mRNA序列中获取。
