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错误检测循环码中的禁用密码子组合。

Forbidden codon combinations in error-detecting circular codes.

作者信息

Fimmel Elena, Saleh Hadi, Strüngmann Lutz

机构信息

Institute for Mathematical Biology Faculty of Computer Sciences, Mannheim University of Applied Sciences, 68163, Mannheim, Germany.

出版信息

Theory Biosci. 2025 Feb;144(1):67-80. doi: 10.1007/s12064-024-00431-6. Epub 2024 Dec 15.

Abstract

Circular codes, which are considered as putative remnants of primaeval comma-free codes, have recently become a focal point of research. These codes constitute a secondary type of genetic code, primarily tasked with detecting and preserving the normal reading frame within protein-coding sequences. The identification of a universal code present across various species has sparked numerous theoretical and experimental inquiries. Among these, the exploration of the class of 216 self-complementary -codes of maximum size 20 has garnered significant attention. However, the origin of the number 216 lacks a satisfactory explanation, and the mathematical construction of these codes remains elusive. This paper introduces a new software designed to facilitate the construction of self-complementary -codes (of maximum size). The approach involves a systematic exclusion of codons, guided by two fundamental mathematical theorems. These theorems demonstrate how codons can be automatically excluded from consideration when imposing requirements such as self-complementarity, circularity or maximality. By leveraging these theorems, our software provides a novel and efficient means to construct these intriguing circular codes, shedding light on their mathematical foundations and contributing to a deeper understanding of their biological significance.

摘要

循环码被认为是原始无逗号码的假定残余物,最近已成为研究的焦点。这些码构成了遗传密码的第二种类型,主要负责检测和保持蛋白质编码序列内的正常阅读框。在各种物种中存在的通用密码的识别引发了众多理论和实验探究。其中,对最大规模为20的216个自互补 - 码类别的探索引起了极大关注。然而,数字216的起源缺乏令人满意的解释,并且这些码的数学构造仍然难以捉摸。本文介绍了一种新软件,旨在促进自互补 - 码(最大规模)的构造。该方法涉及在两个基本数学定理的指导下系统地排除密码子。这些定理展示了在施加诸如自互补性、循环性或最大性等要求时,如何自动排除密码子以供考虑。通过利用这些定理,我们的软件提供了一种新颖且高效的方法来构造这些有趣的循环码,阐明了它们的数学基础,并有助于更深入地理解它们的生物学意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/285f/11802632/689ed882dde9/12064_2024_431_Fig1_HTML.jpg

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