Department of Chemistry , The University of Iowa , Iowa City , Iowa 52242 , United States.
Department of Biochemistry & Cellular and Molecular Biology , The University of Tennessee, Knoxville , Knoxville , Tennessee 37996 , United States.
Biochemistry. 2019 Sep 17;58(37):3861-3868. doi: 10.1021/acs.biochem.9b00460. Epub 2019 Aug 30.
Understanding protein motions and their role in enzymatic reactions is an important and timely topic in enzymology. Protein motions that are involved in the chemical step of catalysis are particularly intriguing but difficult to identify. A global network of coupled residues in dihydrofolate reductase ( DHFR), which assists in catalyzing the chemical step, has previously been demonstrated through quantum mechanical/molecular mechanical and molecular dynamics simulations as well as bioinformatic analyses. A few specific residues (M42, G121, F125, and I14) were shown to function synergistically with measurements of single-turnover rates and the temperature dependence of intrinsic kinetic isotope effects (KIEs) of site-directed mutants. This study hypothesizes that the global network of residues involved in the chemical step is evolutionarily conserved and probes homologous residues of the potential global network in human DHFR through measurements of the temperature dependence of KIEs and computer simulations based on the empirical valence bond method. We study mutants M53W and S145V. Both of these remote residues are homologous to network residues in DHFR. Non-additive isotope effects on activation energy are observed between M53 and S145, indicating their synergistic effect on the chemical step in human DHFR, which suggests that both of these residues are part of a network affecting the chemical step in enzyme catalysis. This finding supports the hypothesis that human and DHFR share similar networks, consistent with evolutionary preservation of such networks.
理解蛋白质的运动及其在酶反应中的作用是酶学中一个重要且及时的课题。涉及催化化学步骤的蛋白质运动特别有趣,但难以识别。先前已经通过量子力学/分子力学和分子动力学模拟以及生物信息学分析证明,二氢叶酸还原酶 (DHFR) 中的一个耦合残基的全局网络有助于催化化学步骤。一些特定的残基(M42、G121、F125 和 I14)与单轮速率的测量以及定点突变的固有动力学同位素效应 (KIE) 的温度依赖性协同作用。本研究假设参与化学步骤的残基的全局网络在进化上是保守的,并通过测量 KIE 的温度依赖性和基于经验价键方法的计算机模拟来探测人 DHFR 中潜在全局网络的同源残基。我们研究了突变体 M53W 和 S145V。这两个远程残基与 DHFR 中的网络残基同源。在 M53 和 S145 之间观察到非加性同位素对活化能的影响,表明它们在人 DHFR 中对化学步骤具有协同作用,这表明这两个残基都是影响酶催化中化学步骤的网络的一部分。这一发现支持了这样一种假设,即人和 DHFR 共享相似的网络,这与这些网络的进化保存一致。