氮酶机制中的硫化物释放和重新结合。

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Per E. M. Siegbahn
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引用次数: 0

摘要

氮酶是激活 N2 中强三键的唯一酶。尽管经过数十年的研究,活化机理一直很难确定。在以前的建模研究中,有人认为氮的活化机制始于催化前的四个预活化步骤(A0-A4)。在 N2 变成质子化的步骤(E4)中,该建议与实验性电子顺磁共振(EPR)观测结果非常吻合。预活化的一个重要部分是硫化物的释放。本文对预活化的细节进行了建模,包括硫化物的释放。我们得到了几种可能的硫化物释放过渡状态。其中 A4(E0) 状态与 E4 状态非常相似。为完整起见,还模拟了催化后从 A4(E0)回到 A0 的步骤,包括硫化物的插入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Sulfide release and rebinding in the mechanism for nitrogenase

Sulfide release and rebinding in the mechanism for nitrogenase

Sulfide release and rebinding in the mechanism for nitrogenase

Nitrogenases are the only enzymes that activate the strong triple bond in N2. The mechanism for the activation has been very difficult to determine in spite of decades of work. In previous modeling studies it has been suggested that the mechanism for nitrogen activation starts out by four pre-activation steps (A0–A4) before catalysis. That suggestion led to excellent agreement with experimental Elecrtron Paramagnetic Resonance (EPR) observations in the step where N2 becomes protonated (E4). An important part of the pre-activation is that a sulfide is released. In the present paper, the details of the pre-activation are modeled, including the release of the sulfide. Several possible transition states for the release have been obtained. An A4(E0) state is reached which is very similar to the E4 state. For completeness, the steps going back from A4(E0) to A0 after catalysis are also modeled, including the insertion of a sulfide.

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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