Suppr超能文献

酶催化活性的底物依赖性调节:嗜油海洋杆菌617的呼吸硝酸盐还原酶对硝酸盐、氯酸盐和高氯酸盐的还原作用

Substrate-dependent modulation of the enzymatic catalytic activity: reduction of nitrate, chlorate and perchlorate by respiratory nitrate reductase from Marinobacter hydrocarbonoclasticus 617.

作者信息

Marangon Jacopo, Paes de Sousa Patrícia M, Moura Isabel, Brondino Carlos D, Moura José J G, González Pablo J

机构信息

REQUIMTE, Departamento de Química, Centro de Química Fina e Biotecnologia, Universidade Nova de Lisboa, Caparica, Portugal.

出版信息

Biochim Biophys Acta. 2012 Jul;1817(7):1072-82. doi: 10.1016/j.bbabio.2012.04.011. Epub 2012 Apr 25.

Abstract

The respiratory nitrate reductase complex (NarGHI) from Marinobacter hydrocarbonoclasticus 617 (Mh, formerly Pseudomonas nautica 617) catalyzes the reduction of nitrate to nitrite. This reaction is the first step of the denitrification pathway and is coupled to the quinone pool oxidation and proton translocation to the periplasm, which generates the proton motive force needed for ATP synthesis. The Mh NarGH water-soluble heterodimer has been purified and the kinetic and redox properties have been studied through in-solution enzyme kinetics, protein film voltammetry and spectropotentiometric redox titration. The kinetic parameters of Mh NarGH toward substrates and inhibitors are consistent with those reported for other respiratory nitrate reductases. Protein film voltammetry showed that at least two catalytically distinct forms of the enzyme, which depend on the applied potential, are responsible for substrate reduction. These two forms are affected differentially by the oxidizing substrate, as well as by pH and inhibitors. A new model for the potential dependence of the catalytic efficiency of Nars is proposed.

摘要

来自嗜油海洋杆菌617(Mh,以前称为海洋假单胞菌617)的呼吸型硝酸还原酶复合物(NarGHI)催化硝酸盐还原为亚硝酸盐。该反应是反硝化途径的第一步,与醌池氧化和质子转运到周质偶联,从而产生ATP合成所需的质子动力。已纯化了Mh NarGH水溶性异二聚体,并通过溶液酶动力学、蛋白质膜伏安法和分光电位氧化还原滴定研究了其动力学和氧化还原性质。Mh NarGH对底物和抑制剂的动力学参数与其他呼吸型硝酸还原酶报道的参数一致。蛋白质膜伏安法表明,至少有两种催化上不同的酶形式,它们取决于施加的电位,负责底物还原。这两种形式受氧化底物、pH值和抑制剂的影响不同。提出了一种新的Nars催化效率电位依赖性模型。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验