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7家族纤维二糖水解酶活性位点中电荷耦合和氢键的计算评估。

Computational evaluations of charge coupling and hydrogen bonding in the active site of a family 7 cellobiohydrolase.

作者信息

Granum David M, Vyas Shubham, Sambasivarao Somisetti V, Maupin C Mark

机构信息

Chemical and Biological Engineering Department and ‡Chemistry and Geochemistry Department, Colorado School of Mines , 1500 Illinois Street, Golden, Colorado 80401, United States.

出版信息

J Phys Chem B. 2014 Jan 16;118(2):434-48. doi: 10.1021/jp408536s. Epub 2014 Jan 2.

DOI:10.1021/jp408536s
PMID:24359013
Abstract

Solution pH and the pKa values of ionizable residues are critical factors known to influence enzyme catalysis, structural stability, and dynamical fluctuations. Presented here is an exhaustive computational study utilizing long time constant pH molecular dynamics, pH replica exchange simulations, and kinetic modeling to evaluate pH-dependent conformations, charge dynamics, residue pKa values, and the catalytic activity-pH profile for cellobiohydrolase Cel7B from Melanocarpus albomyces . The predicted pKa values support the role of Glu212 as the catalytic nucleophile and Glu217 as the acid-base residue. The presence of a charge-correlated active site and an extensive hydrogen bonding network is found to be critical in enabling favorable residue orientations for catalysis and shuttling excess protons around the active site. Clusters of amino acids are identified that act in concert to effectively modulate the optimal pH for catalysis while elevating the overall catalytic rate with respect to a noncoupled system. The work presented here demonstrates the complex and critical role of coupled ionizable residues to the proper functioning of cellobiohydrolase Cel7B, functionally related glycosyl hydrolases, and enzymes in general. The simulations also support the use of the CpHMD for the accurate prediction of residue pKa values and to evaluate the impact of pH on protein structure and charge dynamics.

摘要

溶液pH值和可电离残基的pKa值是已知影响酶催化、结构稳定性和动态波动的关键因素。本文展示了一项详尽的计算研究,该研究利用长时间常数pH分子动力学、pH复制交换模拟和动力学建模,来评估来自白腐黑孢霉的纤维二糖水解酶Cel7B的pH依赖性构象、电荷动力学、残基pKa值以及催化活性-pH曲线。预测的pKa值支持了Glu212作为催化亲核试剂和Glu217作为酸碱残基的作用。发现电荷相关活性位点和广泛氢键网络的存在对于实现有利于催化的残基取向以及在活性位点周围穿梭过量质子至关重要。确定了协同作用以有效调节催化最佳pH值同时相对于非偶联系统提高整体催化速率的氨基酸簇。本文所展示的工作证明了偶联的可电离残基对纤维二糖水解酶Cel7B、功能相关的糖基水解酶以及一般酶的正常功能所起的复杂而关键的作用。这些模拟还支持使用CpHMD准确预测残基pKa值并评估pH对蛋白质结构和电荷动力学的影响。

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