活化核酶KK13的氨基酸的结构还原

IF 1.9 4区 生物学 Q2 BIOLOGY
Kiichi Aizawa , Yusuke Saga , Mika Waida , Hiromi Mutsuro-Aoki , Takuya Umehara , Koji Tamura
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引用次数: 0

摘要

蛋白质合成至少需要三步:氨基酸激活、氨基酸转移到tRNA、肽键形成。其中,由氨基酰基- trna合成酶催化的第一步反应产物的能级最高,该反应消耗ATP,并通过酰基磷酸键将氨基酸与AMP连接(形成氨基酰基-AMP)。在这项研究中,我们重点研究了长度为114个核苷酸的核酶KK13,它催化核酶5′端三磷酸的α-磷酸与氨基酸的羧酸盐之间形成酰基磷酸键,同时释放无机焦磷酸盐。基于对KK13的二级和三级结构的预测,我们的目标是减小核酶的大小,这在原始地球上是合理的,可以激活氨基酸。最后,创建了几个突变体,并讨论了它们的结构特征和进化特征之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural reduction of amino acid activating ribozyme KK13
Protein synthesis requires at least three steps: amino acid activation, amino acid transfer to tRNA, and peptide bond formation. Of these, the energy level of the reaction product in the first step, catalyzed by aminoacyl-tRNA synthetase, is the highest, and this reaction consumes ATP and connects amino acids to AMP via acyl phosphate bonds (formation of aminoacyl-AMP). In this study, we focused on KK13, a ribozyme with a length of 114 nucleotides, which catalyzes the formation of acyl phosphate bonds between the α-phosphate of 5ʹ-terminal triphosphate of the ribozyme and the carboxylate of amino acid with concomitant release of inorganic pyrophosphate. Based on the prediction of the secondary and tertiary structures of KK13, we aimed to reduce the size of the ribozyme, plausible on the primitive Earth, which can activate amino acids. Finally, several mutants were created, and the relationship between their structural and evolutionary features is discussed.
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来源期刊
Biosystems
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.
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