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Published on: February 12, 2022
Study on the Influence of mRNA, the Genetic Language, on Protein Folding Rates
Ruifang Li1, Hong Li2, Xue Feng1
1College of Physics and Electronic Information, Inner Mongolia Normal University, Hohhot, China.
Abstract:
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 (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.
Insights
Messenger RNA (mRNA) sequences influence protein folding rates. Adjacent base information redundancy and GC content negatively correlate with folding rates, while single base information redundancy positively correlates.
Area of Science:
- Biochemistry
- Molecular Biology
- Bioinformatics
Background:
- Protein folding rates are known to be influenced by amino acid sequences and protein structures.
- The relationship between messenger RNA (mRNA) sequences and protein folding rates remains largely unexplored.
Purpose of the Study:
- To investigate the correlation between mRNA sequence characteristics (genetic language parameters) and protein folding rates.
- To determine if mRNA sequence information is crucial for predicting protein folding rates.
Main Methods:
- Linear regression analysis was employed to examine the relationship between mRNA sequence parameters and protein folding rates.
- Key mRNA parameters analyzed included adjacent base-related information redundancy (D2), single base information redundancy (D), and GC content.
Main Results:
- Significant negative correlations were found between D2 values and GC content of mRNA sequences with protein folding rates.
- A significant positive correlation was observed between D values of mRNA sequences and protein folding rates.
- The identified relationships varied across different protein groups, suggesting protein-specific regulatory mechanisms.
Conclusions:
- mRNA sequence features, beyond protein structure and amino acid sequence, provide essential information for understanding and predicting protein folding rates.
- Genetic language parameters derived from mRNA sequences are significant regulators of protein folding dynamics.
- Incorporating mRNA sequence information can improve the accuracy of protein folding rate predictions.
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