Forbidden codon combinations in error-detecting circular codes.

IF 1.3 4区 生物学 Q3 BIOLOGY
Elena Fimmel, Hadi Saleh, Lutz Strüngmann
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引用次数: 0

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 C 3 -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 C 3 -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.

错误检测循环码中的禁止密码子组合
环形编码被认为是原始无逗号编码的残余,最近已成为研究的焦点。这些编码构成了遗传编码的第二种类型,主要任务是检测和保留蛋白质编码序列中的正常阅读框架。发现存在于不同物种中的通用代码引发了众多理论和实验研究。其中,对最大大小为 20 的 216 个自互补 C 3 编码的探索引起了极大关注。然而,数字 216 的起源还缺乏令人满意的解释,这些代码的数学构造也仍然难以捉摸。本文介绍了一种新软件,旨在促进自互补 C 3 - 代码(最大大小)的构建。该方法以两个基本数学定理为指导,系统地排除密码子。这些定理证明了在提出自互补、循环性或最大化等要求时,如何自动排除密码子。通过利用这些定理,我们的软件提供了一种新颖高效的方法来构建这些有趣的循环密码,揭示了它们的数学基础,有助于加深对其生物学意义的理解。
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来源期刊
Theory in Biosciences
Theory in Biosciences 生物-生物学
CiteScore
2.70
自引率
9.10%
发文量
21
审稿时长
3 months
期刊介绍: Theory in Biosciences focuses on new concepts in theoretical biology. It also includes analytical and modelling approaches as well as philosophical and historical issues. Central topics are: Artificial Life; Bioinformatics with a focus on novel methods, phenomena, and interpretations; Bioinspired Modeling; Complexity, Robustness, and Resilience; Embodied Cognition; Evolutionary Biology; Evo-Devo; Game Theoretic Modeling; Genetics; History of Biology; Language Evolution; Mathematical Biology; Origin of Life; Philosophy of Biology; Population Biology; Systems Biology; Theoretical Ecology; Theoretical Molecular Biology; Theoretical Neuroscience & Cognition.
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