Kinetics and active site dynamics of Staphylococcus aureus arsenate reductase.

来自 万方

阅读量:

27

作者:

J MessensJC MartinsE BrosensKV BelleL Wyns

展开

摘要:

Arsenate reductase (ArsC) encoded by Staphylococcus aureus arsenic-resistance plasmid pI258 reduces intracellular arsenate(V) to the more toxic arsenite(III), which is subsequently extruded from the cell. It couples to thioredoxin, thioredoxin reductase and NADPH to be enzymatically active. ArsC is extremely sensitive to oxidative inactivation, has a very dynamic character hampering resonance assignments in NMR and produces peculiar biphasic Michaelis-Menten curves with two V max plateaus. In this study, methods to control ArsC oxidation during purification have been optimized. Next, application of Selwyn's test of enzyme inactivation was applied to progress curves and reveals that the addition of tetrahedral oxyanions (50mM sulfate, phosphate or perchlorate) allows the control of ArsC stability and essentially eliminates the biphasic character of the Michaelis-Menten curves. Finally, 1 H- 15 N HSQC NMR spectroscopy was used to establish that these oxyanions, including the arsenate substrate, exert their stabilizing effect on ArsC through binding with residues located within a C-X 5 -R sequence motif, characteristic for phosphotyrosine phosphatases. In view of this need for a tetrahedral oxyanion to structure its substrate binding site in its active conformation, a reappraisal of basic kinetic parameters of ArsC was necessary. Under these new conditions and in contrast to previous observations, ArsC has a high substrate specificity, as only arsenate could be reduced ( K m =68M, k cat / K m =5.2×10 4 M –1 s –1 ), while its product, arsenite, was identified as a mixed inhibitor ( K * iu =534M, K * ic =377M).

展开

DOI:

10.1007/s007750100282

被引量:

114

年份:

2002

通过文献互助平台发起求助,成功后即可免费获取论文全文。

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献

参考文献

引证文献

引用走势

2003
被引量:20

站内活动

辅助模式

0

引用

文献可以批量引用啦~
欢迎点我试用!

关于我们

百度学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们保持学习的态度,不忘初心,砥砺前行。
了解更多>>

友情链接

百度云百度翻译

联系我们

合作与服务

期刊合作 图书馆合作 下载产品手册

©2025 Baidu 百度学术声明 使用百度前必读

引用