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Mathematical fundamentals for the noise immunity of the genetic code

机译:遗传密码抗噪声的数学基础

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摘要

AbstractSymmetry is one of the essential and most visible patterns that can be seen in nature. Starting from the left–right symmetry of the human body, all types of symmetry can be found in crystals, plants, animals and nature as a whole. Similarly, principals of symmetry are also some of the fundamental and most useful tools in modern mathematical natural science that play a major role in theory and applications. As a consequence, it is not surprising that the desire to understand the origin of life, based on the genetic code, forces us to involve symmetry as a mathematical concept. The genetic code can be seen as a key to biological self-organisation. All living organisms have the same molecular bases – an alphabet consisting of four letters (nitrogenous bases): adenine, cytosine, guanine, and thymine. Linearly ordered sequences of these bases contain the genetic information for synthesis of proteins in all forms of life. Thus, one of the most fascinating riddles of nature is to explain why the genetic code is as it is. Genetic coding possesses noise immunity which is the fundamental feature that allows to pass on the genetic information from parents to their descendants. Hence, since the time of the discovery of the genetic code, scientists have tried to explain the noise immunity of the genetic information. In this chapter we will discuss recent results in mathematical modelling of the genetic code with respect to noise immunity, in particular error-detection and error-correction. We will focus on two central properties: Degeneracy and frameshift correction.Degeneracy
机译:<![cdata [ 抽象 对称性是本质上可以看到的必不可少的和最明显的模式之一。从人体的左右对称开始,所有类型的对称性都可以在整个晶体,植物,动物和自然中找到。同样,对称性的校长也是现代数学自然科学中的一些基本和最有用的工具,在理论和应用中发挥着重要作用。因此,基于遗传密码,了解生命的起源,迫使我们涉及对称作为数学概念并不令人惊讶。遗传密码可以被视为生物自我组织的关键。所有生物体都具有相同的分子碱 - 由四个字母(含氮基础)组成的字母:腺嘌呤,胞嘧啶,鸟嘌呤和胸腺嘧啶。这些碱基的线性排序序列包含用于在所有形式的生命中合成蛋白质的遗传信息。因此,最令人着迷的性质谜语之一是解释为什么遗传密码就像它一样。遗传编码具有噪声豁免,这是允许将父母从遗传信息传递到其后代的基本特征。因此,由于发现遗传密码的时间,科学家们试图解释遗传信息的噪声抗扰度。在本章中,我们将讨论最近导致遗传码的数学建模相对于抗噪性,特别是误差检测和纠错。我们将专注于两个中央属性:退化和架构校正。 Degeneracy

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