主要质量氨基酸:一种新的基于数字的分类对质谱和蛋白质生物学的意义。

IF 1.1 4区 化学 Q4 PHYSICS, ATOMIC, MOLECULAR & CHEMICAL
Kevin M Downard
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引用次数: 0

摘要

根据氨基酸的元素组成计算出的氨基酸残基的标称质量通常是由质数来定义的,而不是偶然的,这些残基似乎在蛋白质的形成和生物学中起着重要的作用。因此,建议考虑对优质氨基酸进行分类,而不是与氨基酸的其他物理化学性质相关的更常见,熟悉的定义,包括带电或不带电,疏水性或亲水性,极性或非极性,酸性或碱性,脂肪族或芳香族。考虑到这些残基的主要疏水性以及它们在蛋白质折叠和跨膜结构域中的作用,在肽和蛋白质的质谱测序和结构图的构建中,也可以给予更多的关注。利用质数根据元素组成的原子质量的总和来定义氨基酸,引起了最近的其他兴趣和观察,其中质数的组织方式反映了原子轨道内排列的电子。这篇文章第一次将数论与物理和生物科学以及质谱学联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prime mass amino acids: A new numbers based classification of significance to mass spectrometry and protein biology.

The nominal mass of amino acid residues calculated from their elemental compositions are defined by prime numbers far more often than chance, and such residues appear to play an important role in the formation and biology of proteins. It is proposed therefore that consideration be given to classifying prime mass amino acids as such, beyond the more common, familiar definitions associated with the other physicochemical properties of amino acids including charged or non-charged, hydrophobic or hydrophilic, polar or non-polar, acidic or basic, aliphatic or aromatic. Greater focus could also be given to such residues during peptide and protein sequencing with mass spectrometry and the construction of structural maps, given their predominantly hydrophobic character and thus their role in protein folding and transmembrane domains. The use of prime numbers to define amino acids based on the sum of the atomic masses from their elemental compositions invokes other recent interest and observations whereby prime numbers were organised in a way that mirrors electrons arranged within the orbitals of an atom. The article links number theory with both the physical and biological sciences, and mass spectrometry, for the first time.

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来源期刊
CiteScore
2.40
自引率
7.70%
发文量
16
审稿时长
>12 weeks
期刊介绍: JMS - European Journal of Mass Spectrometry, is a peer-reviewed journal, devoted to the publication of innovative research in mass spectrometry. Articles in the journal come from proteomics, metabolomics, petroleomics and other areas developing under the umbrella of the “omic revolution”.
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