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通过RNA密码子与突变氨基酸之间的翻译概率来确定蛋白质中的突变趋势。

Determination of mutation trend in proteins by means of translation probability between RNA codes and mutated amino acids.

作者信息

Wu Guang, Yan Shaomin

机构信息

Computational Mutation Project, DreamSciTech Consulting, 301, Building 12, Nanyou A-zone, Shenzhen, Guangdong Province CN, China.

出版信息

Biochem Biophys Res Commun. 2005 Nov 18;337(2):692-700. doi: 10.1016/j.bbrc.2005.09.106. Epub 2005 Sep 26.

Abstract

In this study, we estimate the translation probability to amino acid from RNA codon. With the determined 183 translation probabilities and amino-acid composition of eight highly mutated proteins, we construct the theoretical distributions of mutated amino acids in these proteins and then compare them with their actual distributions affected by mutations. Thereafter we trace the pattern of translation probabilities from RNA codons to mutated amino acids of 1053 point missense mutations. Finally, we statistically conclude that the natural mutation trend goes along the theoretical translation probability.

摘要

在本研究中,我们估算了从RNA密码子到氨基酸的翻译概率。利用确定的183个翻译概率以及8种高度突变蛋白的氨基酸组成,我们构建了这些蛋白中突变氨基酸的理论分布,然后将其与受突变影响的实际分布进行比较。此后,我们追踪了1053个点错义突变从RNA密码子到突变氨基酸氨基酸的翻译概率的模式。最后,我们通过统计得出结论,自然突变趋势与理论翻译概率一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30bd/7117410/ebf57ab7d7c0/gr1.jpg

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