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遗传密码及其在多肽链中对动能守恒的优化。

The genetic code and its optimization for kinetic energy conservation in polypeptide chains.

作者信息

Guilloux Antonin, Jestin Jean-Luc

机构信息

Analyse algébrique, Institut de Mathématique de Jussieu, Université Pierre et Marie Curie, Paris VI, France.

出版信息

Biosystems. 2012 Aug;109(2):141-4. doi: 10.1016/j.biosystems.2012.03.001. Epub 2012 Mar 20.

Abstract

Why is the genetic code the way it is? Concepts from fields as diverse as molecular evolution, classical chemistry, biochemistry and metabolism have been used to define selection pressures most likely to be involved in the shaping of the genetic code. Here minimization of kinetic energy disturbances during protein evolution by mutation allows an optimization of the genetic code to be highlighted. The quadratic forms corresponding to the kinetic energy term are considered over the field of rational numbers. Arguments are given to support the introduction of notions from basic number theory within this context. The observations found to be consistent with this minimization are statistically significant. The genetic code may well have been optimized according to energetic criteria so as to improve folding and dynamic properties of polypeptide chains.

摘要

为什么遗传密码是现在这样的?分子进化、经典化学、生物化学和新陈代谢等不同领域的概念已被用于定义最有可能参与遗传密码形成的选择压力。在此,通过突变使蛋白质进化过程中的动能干扰最小化,从而突出了遗传密码的优化。在有理数域上考虑与动能项对应的二次型。给出了在此背景下引入基础数论概念的论据。发现与这种最小化一致的观察结果具有统计学意义。遗传密码很可能是根据能量标准进行了优化,以改善多肽链的折叠和动态特性。

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