4.6 Article

Study on the Influence of mRNA, the Genetic Language, on Protein Folding Rates

期刊

FRONTIERS IN GENETICS
卷 12, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2021.635250

关键词

protein folding rate; genetic language; single base information redundancy; adjacent base related information redundancy; mRNA sequence

资金

  1. Natural Science Foundation of Inner Mongolia [2019MS03042]
  2. National Natural Science Foundation of China [31860304]

向作者/读者索取更多资源

The study analyzed the relationship between the vocabulary and phraseology parameters of mRNA sequences and protein folding rates, finding that D-2 and GC content values are negatively correlated with protein folding rates, while D-1 values are positively correlated. The relationships between genetic language parameters and protein folding rates are different for different protein groups, providing new insights for predicting protein folding rates.
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 D-2 (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 D-1 (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.

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