遗传密码及其 p-adic 超参数模型。

IF 2 4区生物学 Q2 BIOLOGY

Biosystems Pub Date : 2024-09-02 DOI:10.1016/j.biosystems.2024.105322

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引用次数: 0

摘要

遗传密码在所有生物体中都起着核心作用，其建模对于描述和理解编码规则非常重要。有许多方法可以对遗传密码的各个方面进行建模。建立密码子之间和氨基酸之间相似性模型的简单而成功的数学工具之一是超计量学，尤其是 p-adic 距离。本文概述了遗传信息的超计量（p-adic）建模，以及利用遗传密码将其转化为蛋白质的过程。

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The genetic code and its p-adic ultrametric modeling

The genetic code plays a central role in all living organisms and its modeling is important for describing and understanding involved the coding rules. There are many approaches to modeling various aspects of the genetic code. One of the simple and successful mathematical tools for modeling the similarity both between codons and between amino acids, is the ultrametrics and especially the $p$ -adic distance. This article contains an overview of ultrametric ( $p$ -adic) modeling of genetic information, and its translation to proteins using the genetic code.

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来源期刊

Biosystems 生物-生物学

CiteScore

3.70

自引率

18.80%

发文量

129

审稿时长

34 days

期刊介绍： BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.