对接能与潜在黄嘌呤氧化酶底物光谱动力学分析的相关性

Amy L Stockert, Tarek M Mahfouz, B. Petersen, Oluwaseun L. Fakunmoju
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引用次数: 0

摘要

在这里,我们提出了一个对接模型,根据它们作为潜在底物或抑制剂的潜在有效性对化合物进行排序。我们利用黄嘌呤氧化酶(XO),一种多辅助因子氧化还原酶,将次黄嘌呤转化为黄嘌呤和黄嘌呤转化为尿酸。在半还原反应中,电子从钼精中流出,流向两个Fe/S中心,最后流向FAD。在氧化半反应中,电子从FAD传递到O2。在理想的生理条件下,这种氧的还原产生H2O2,在多种周转条件下,产生超氧化物,其数量由过氧化氢酶和超氧化物歧化酶调节。利用计算机模型预测了一组嘌呤基结构的对接方向和能量。将计算机估计与稳态动力学数据相结合,强调了抑制剂预测的快速筛选过程。该方法允许有根据地选择可能的抑制剂,从而减少完成传统动力学分析筛选所需的时间和供应。结果证明了该方法的功能性和可靠性,并被证明在理解每种化合物的结合取向或姿势方面特别有用。
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Correlation of docking energies with spectroscopic kinetic assays of potential xanthine oxidase substrates
Here we present a docking model that ranks compounds according to their potential effectiveness as a potential substrate or inhibitor. We utilize xanthine oxidase (XO), a multi-cofactor oxido-reductase which converts hypoxanthine to xanthine and xanthine to uric acid. During the reductive half reaction, electrons flow from the molybdopterin, to each of two Fe/S centers, and finally to FAD. During the oxidative half reaction, electrons are passed from the FAD to O2. Under ideal physiological conditions, this reduction of oxygen generates H2O2 and, under multiple turnover conditions, superoxide in amounts which is regulated by catalase and superoxide dismutase. Utilizing computer modeling predictions of the docking orientations and energies of a group of purine based structures was selected. Correlating computer estimations with steady state kinetic data, a rapid screening process for inhibittor prediction was highlighted. This method allows educated selection of likely inhibitors, thereby decreasing the time and supplies required to complete a traditional kinetic analysis screening. Results demonstrate the functionality and reliability of this method and have proven particularly useful in understanding binding orienttations or poses of each compound.
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