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Mechanistic Insights into RNA Transphosphorylation from Kinetic Isotope Effects and Linear Free Energy Relationships of Model Reactions

机译:机械动力学见解的动力学同位素效应和模型反应的线性自由能之间的关系。

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摘要

Phosphoryl transfer reactions are ubiquitous in biology, and the understanding of the mechanisms whereby these reactions are catalyzed by protein and RNA enzymes is central to reveal design principles for new therapeutics. Two of the most powerful experimental probes of chemical mechanism involve the analysis of linear free energy relations (LFERs) and the measurement of kinetic isotope effects (KIEs). These experimental data report directly on differences in bonding between the ground state and the rate-controlling transition state, which is the most critical point along the reaction free energy pathway. However, interpretation of LFER and KIE data in terms of transition state structure and bonding optimally requires the use of theoretical models. In this work, we apply density-functional calculations to determine KIEs for a series of phosphoryl transfer reactions of direct relevance to the 2’-O-transphosphorylation that leads to cleavage of the phosphodiester backbone of RNA. We first examine a well-studied series of phosphate and phosphorothioate mono-, di- and triesters that are useful as mechanistic probes and for which KIEs have been measured. Close agreement is demonstrated between the calculated and measured KIEs, establishing the reliability of our quantum model calculations. Next, we examine a series of RNA transesterification model reactions with a wide range of leaving groups in order to provide a direct connection between observed Brønsted coefficients and KIEs with the structure and bonding in the transition state. These relations can be used for prediction or to aid in the interpretation of experimental data for similar non-enzymatic and enzymatic reactions. Finally, we apply these relations to RNA phosphoryl transfer catalyzed by ribonuclease A, and demonstrate the reaction coordinate-KIE correlation is reasonably preserved. A prediction of the secondary deuterium KIE in this reaction is also provided. These results demonstrate the utility of building up knowledge of mechanism through the systematic study of model systems to provide insight into more complex biological systems such as phosphoryl transfer enzymes and ribozymes.
机译:磷酸转移反应在生物学中无处不在,因此了解蛋白质和RNA酶催化这些反应的机制对于揭示新疗法的设计原理至关重要。化学机理的两个最强大的实验探针涉及线性自由能关系(LFER)的分析和动力学同位素效应(KIE)的测量。这些实验数据直接报告了基态和速率控制过渡态之间键合的差异,这是沿着反应自由能途径的最关键点。然而,就过渡态结构和键合而言,对LFER和KIE数据的解释最佳地需要使用理论模型。在这项工作中,我们应用密度泛函计算来确定与2'-O-转磷酸化直接相关的一系列磷酸基转移反应的KIE,从而导致RNA磷酸二酯主链的裂解。我们首先检查了一系列经过充分研究的磷酸盐和硫代磷酸酯单,二和三酯,它们可用作机械探针,并已对其进行了KIE测量。计算和测量的KIE之间显示出紧密的一致性,从而确立了我们的量子模型计算的可靠性。接下来,我们检查了一系列带有大量离去基团的RNA酯交换反应模型,以便在观察到的布朗斯台德系数和KIE之间以过渡态的结构和键提供直接联系。这些关系可以用于预测或帮助解释类似的非酶促和酶促反应的实验数据。最后,我们将这些关系应用于核糖核酸酶A催化的RNA磷酸转移,并证明了反应坐标-KIE相关性得到了合理的保留。还提供了该反应中次级氘KIE的预测。这些结果证明了通过对模型系统进行系统研究来建立机理知识的实用性,从而可以洞察更复杂的生物系统,例如磷酸基转移酶和核酶。

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