Huang Ming, York Darrin M
Scientific Computation, University of Minnesota, 207 Pleasant St. SE, Minneapolis, MN 55455-0431, USA.
Phys Chem Chem Phys. 2014 Aug 14;16(30):15846-55. doi: 10.1039/c4cp01050g.
RNA cleavage transesterification is of fundamental reaction in biology that is catalyzed by both protein and RNA enzymes. In this work, a series of RNA transesterification model reactions with a wide range of leaving groups are investigated with density-functional calculations in an aqueous solvation environment in order to study linear free energy relationships (LFERs) and their connection to transition state structure and bonding. Overall, results obtained from the polarizable continuum solvation model with UAKS radii produce the best linear correlations and closest overall agreement with experimental results. Reactions with a poor leaving group are predicted to proceed via a stepwise mechanism with a late transition state that is rate controlling. As leaving group becomes more acidic and labile, the barriers of both early and late transition states decrease. LFERs for each transition state are computed, with the late transition state barrier showing greater sensitivity to leaving group pKa. For sufficiently enhanced leaving groups, the reaction mechanism transits to a concerted mechanism characterized by a single early transition state. Further linear relationships were derived for bond lengths and bond orders as a function of leaving group pKa and rate constant values that can be used for prediction. This work provides important benchmark linear free energy data that allows a molecular-level characterization of the structure and bonding of the transition states for this important class of phosphoryl transfer reactions. The relations reported herein can be used to aid in the interpretation of data obtained from experimental studies of non-catalytic and catalytic mechanisms.
RNA切割转酯反应是生物学中的一种基本反应,可由蛋白质和RNA酶催化。在本研究中,为了研究线性自由能关系(LFERs)及其与过渡态结构和键合的联系,在水溶剂化环境中通过密度泛函计算研究了一系列具有广泛离去基团的RNA转酯模型反应。总体而言,使用UAKS半径的可极化连续溶剂化模型得到的结果产生了最佳的线性相关性,并且与实验结果在总体上最为吻合。预测具有较差离去基团的反应通过具有速率控制作用的晚期过渡态的逐步机制进行。随着离去基团变得更具酸性和更不稳定,早期和晚期过渡态的势垒都会降低。计算了每个过渡态的LFERs,晚期过渡态势垒对离去基团的pKa表现出更大的敏感性。对于充分增强的离去基团,反应机制转变为以单个早期过渡态为特征的协同机制。还推导了键长和键级与离去基团pKa和速率常数之间的进一步线性关系,可用于预测。这项工作提供了重要的基准线性自由能数据,能够对这类重要的磷酰基转移反应的过渡态结构和键合进行分子水平的表征。本文报道的这些关系可用于辅助解释从非催化和催化机制的实验研究中获得的数据。