Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, United States.
Department of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843-2128, United States.
J Phys Chem B. 2021 Jan 14;125(1):128-136. doi: 10.1021/acs.jpcb.0c09974. Epub 2020 Dec 30.
The oxidation of tyrosine to form the neutral tyrosine radical proton-coupled electron transfer is essential for a wide range of biological processes. The precise measurement of the proton-coupled redox potentials of tyrosine (Y) in complex protein environments is challenging mainly because of the highly oxidizing and reactive nature of the radical state. Herein, a computational strategy is presented for predicting proton-coupled redox potentials in a protein environment. In this strategy, both the reduced Y-OH and oxidized Y-O forms of tyrosine are sampled with molecular dynamics using a molecular mechanical force field. For a large number of conformations, a quantum mechanical/molecular mechanical (QM/MM) electrostatic embedding scheme is used to compute the free-energy differences between the reduced and oxidized forms, including the zero-point energy and entropic contributions as well as the impact of the protein electrostatic environment. This strategy is applied to a series of fluorinated tyrosine derivatives embedded in a α-helical protein denoted as αY. The force fields for both the reduced and oxidized forms of these noncanonical fluorinated tyrosine residues are parameterized for general use. The calculated relative proton-coupled redox potentials agree with experimentally measured values with a mean unsigned error of 24 mV. Analysis of the simulations illustrates that hydrogen-bonding interactions between tyrosine and water increase the redox potentials by ∼100-250 mV, with significant variations because of the fluctuating protein environment. This QM/MM approach enables the calculation of proton-coupled redox potentials of tyrosine and other residues such as tryptophan in a variety of protein systems.
酪氨酸氧化形成中性酪氨酸自由基和质子耦合电子转移对于广泛的生物过程至关重要。在复杂的蛋白质环境中精确测量酪氨酸(Y)的质子耦合氧化还原电位主要是因为自由基状态具有高度的氧化性和反应性。本文提出了一种预测蛋白质环境中质子耦合氧化还原电位的计算策略。在该策略中,使用分子力学力场通过分子动力学对还原态 Y-OH 和氧化态 Y-O 形式的酪氨酸进行采样。对于大量构象,使用量子力学/分子力学(QM/MM)静电嵌入方案来计算还原态和氧化态之间的自由能差,包括零点能和熵贡献以及蛋白质静电环境的影响。该策略应用于一系列嵌入在称为αY 的α-螺旋蛋白质中的氟化酪氨酸衍生物。这些非典型氟化酪氨酸残基的还原和氧化形式的力场都经过参数化,可以通用。计算得到的相对质子耦合氧化还原电位与实验测量值一致,平均无符号误差为 24 mV。模拟分析表明,酪氨酸与水之间的氢键相互作用将氧化还原电位提高了约 100-250 mV,由于蛋白质环境的波动,变化显著。这种 QM/MM 方法能够计算各种蛋白质系统中天冬氨酸和色氨酸等残基的质子耦合氧化还原电位。