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Evaluating the Performance of a Non-Bonded Cu2+ Model Including Jahn−Teller Effect into the Binding of Tyrosinase Inhibitors

机译:评价非结合的Cu2 +模型的性能包括Jahn-Teller效应与酪氨酸酶抑制剂的结合

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摘要

Tyrosinase (TYR) is a metalloenzyme classified as a type-3 copper protein, which is involved in the synthesis of melanin through a catalytic process beginning with the conversion of the amino acid -Tyrosine ( -Tyr) to -3,4-dihydroxyphenylalanine ( -DOPA). It plays an important role in the mechanism of melanogenesis in various organisms including mammals, plants, and fungi. Herein, we used a combination of computational molecular modeling techniques including molecular dynamic (MD) simulations and the linear interaction energy (LIE) model to evaluate the binding free energy of a set of analogs of kojic acid (KA) in complex with TYR. For the MD simulations, we used a dummy model including the description of the Jahn–Teller effect for Cu ions in the active site of this enzyme. Our results show that the LIE model predicts the TYR binding affinities of the inhibitor in close agreement to experimental results. Overall, we demonstrate that the classical model provides a suitable description of the main interactions between analogs of KA and Cu ions in the active site of TYR.
机译:酪氨酸酶(TYR)是一种金属酶,被归类为3型铜蛋白,通过催化过程从氨基酸-酪氨酸(-Tyr)转化为-3,4-二羟基苯丙氨酸( -DOPA)。它在包括哺乳动物,植物和真菌在内的各种生物的黑色素生成机理中起着重要作用。在本文中,我们结合分子动力学(MD)模拟和线性相互作用能(LIE)模型使用了计算分子建模技术,以评估曲酸(KA)与TYR配合物的一组类似物的结合自由能。对于MD模拟,我们使用了一个虚拟模型,其中包括对该酶活性位点中Cu离子的Jahn–Teller效应的描述。我们的结果表明,LIE模型预测了抑制剂的TYR结合亲和力与实验结果非常吻合。总体而言,我们证明了经典模型为TYR活性位点中KA和Cu离子类似物之间的主要相互作用提供了合适的描述。

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