f型ATP合成酶旋翼环化学计量学自然多样性的高通量评价。

IF 3.2 4区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Stepan D Osipov, Egor V Zinovev, Arina A Anuchina, Alexander S Kuzmin, Andronika V Minaeva, Yury L Ryzhykau, Alexey V Vlasov, Ivan Yu Gushchin
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引用次数: 0

摘要

三磷酸腺苷(ATP)合成酶是存在于每个活细胞中的大型酶。它们由一个跨膜结构域和一个可溶结构域组成,每个结构域由多个亚基组成。跨膜部分包含一个低聚转子环(c环),其化学计量学定义了合成ATP分子数量与通过膜运输的离子数量之间的比率。目前,f型ATP合成酶的c环由8-17个亚基(16个除外)组成,但尚不清楚其他化学计量是否存在于自然生物体中。在这里,我们提出了一种基于AlphaFold的易于使用的高通量计算方法,使我们能够估计基因组数据库中存在的所有同源寡聚c环的化学计量学。我们在现有的实验数据上验证了该方法,获得了参考数据集高达0.94的相关性,并使用它来预测化学计量量至少在8到27之间变化的c环的存在性。然后,我们对两个化学计量大于17的c环进行分子动力学模拟,以证实基于机器学习的预测。我们的工作强烈表明,在自然生物中存在着以前描述过的高化学计量的转子环,并强调了基于alphafold的方法在研究同质寡聚蛋白方面的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-Throughput Evaluation of Natural Diversity of F-Type ATP Synthase Rotor Ring Stoichiometries.

Adenosine triphosphate (ATP) synthases are large enzymes present in every living cell. They consist of a transmembrane and a soluble domain, each comprising multiple subunits. The transmembrane part contains an oligomeric rotor ring (c-ring), whose stoichiometry defines the ratio between the number of synthesized ATP molecules and the number of ions transported through the membrane. Currently, c-rings of F-Type ATP synthases consisting of 8-17 (except 16) subunits have been experimentally demonstrated, but it is not known whether other stoichiometries are present in natural organisms. Here, we present an easy-to-use high-throughput computational approach based on AlphaFold that allows us to estimate the stoichiometry of all homo-oligomeric c-rings, whose sequences are present in genomic databases. We validate the approach on the available experimental data, obtaining the correlation as high as 0.94 for the reference dataset and use it to predict the existence of c-rings with stoichiometry varying at least from 8 to 27. We then conduct molecular dynamics simulations of two c-rings with stoichiometry above 17 to corroborate the machine learning-based predictions. Our work strongly suggests existence of rotor rings with previously undescribed high stoichiometry in natural organisms and highlights the utility of AlphaFold-based approaches for studying homo-oligomeric proteins.

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来源期刊
Proteins-Structure Function and Bioinformatics
Proteins-Structure Function and Bioinformatics 生物-生化与分子生物学
CiteScore
5.90
自引率
3.40%
发文量
172
审稿时长
3 months
期刊介绍: PROTEINS : Structure, Function, and Bioinformatics publishes original reports of significant experimental and analytic research in all areas of protein research: structure, function, computation, genetics, and design. The journal encourages reports that present new experimental or computational approaches for interpreting and understanding data from biophysical chemistry, structural studies of proteins and macromolecular assemblies, alterations of protein structure and function engineered through techniques of molecular biology and genetics, functional analyses under physiologic conditions, as well as the interactions of proteins with receptors, nucleic acids, or other specific ligands or substrates. Research in protein and peptide biochemistry directed toward synthesizing or characterizing molecules that simulate aspects of the activity of proteins, or that act as inhibitors of protein function, is also within the scope of PROTEINS. In addition to full-length reports, short communications (usually not more than 4 printed pages) and prediction reports are welcome. Reviews are typically by invitation; authors are encouraged to submit proposed topics for consideration.
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