首页> 美国卫生研究院文献>International Journal of Molecular Sciences >Elucidating Binding Sites and Affinities of ERα Agonists and Antagonists to Human Alpha-Fetoprotein by In Silico Modeling and Point Mutagenesis
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Elucidating Binding Sites and Affinities of ERα Agonists and Antagonists to Human Alpha-Fetoprotein by In Silico Modeling and Point Mutagenesis

机译:通过计算机模拟和点诱变阐明ERα激动剂和拮抗剂与人α-胎蛋白的结合位点和亲和力

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摘要

Alpha-fetoprotein (AFP) is a major embryo- and tumor-associated protein capable of binding and transporting a variety of hydrophobic ligands, including estrogens. AFP has been shown to inhibit estrogen receptor (ER)-positive tumor growth, which can be attributed to its estrogen-binding ability. Despite AFP having long been investigated, its three-dimensional (3D) structure has not been experimentally resolved and molecular mechanisms underlying AFP–ligand interaction remains obscure. In our study, we constructed a homology-based 3D model of human AFP (HAFP) with the purpose of molecular docking of ERα ligands, three agonists (17β-estradiol, estrone and diethylstilbestrol), and three antagonists (tamoxifen, afimoxifene and endoxifen) into the obtained structure. Based on the ligand-docked scoring functions, we identified three putative estrogen- and antiestrogen-binding sites with different ligand binding affinities. Two high-affinity binding sites were located (i) in a tunnel formed within HAFP subdomains IB and IIA and (ii) on the opposite side of the molecule in a groove originating from a cavity formed between domains I and III, while (iii) the third low-affinity binding site was found at the bottom of the cavity. Here, 100 ns molecular dynamics (MD) simulation allowed us to study their geometries and showed that HAFP–estrogen interactions were caused by van der Waals forces, while both hydrophobic and electrostatic interactions were almost equally involved in HAFP–antiestrogen binding. Molecular mechanics/Generalized Born surface area (MM/GBSA) rescoring method exploited for estimation of binding free energies (ΔG ) showed that antiestrogens have higher affinities to HAFP as compared to estrogens. We performed in silico point substitutions of amino acid residues to confirm their roles in HAFP–ligand interactions and showed that Thr132, Leu138, His170, Phe172, Ser217, Gln221, His266, His316, Lys453, and Asp478 residues, along with two disulfide bonds (Cys224–Cys270 and Cys269–Cys277), have key roles in both HAFP–estrogen and HAFP–antiestrogen binding. Data obtained in our study contribute to understanding mechanisms underlying protein–ligand interactions and anticancer therapy strategies based on ERα-binding ligands.
机译:甲胎蛋白(AFP)是一种主要的与胚胎和肿瘤相关的蛋白,能够结合和运输包括雌激素在内的各种疏水性配体。已显示AFP抑制雌激素受体(ER)阳性肿瘤的生长,这可以归因于其与雌激素的结合能力。尽管对AFP进行了长期研究,但其三维(3D)结构尚未通过实验解析,而AFP与配体相互作用的分子机理仍然不清楚。在我们的研究中,我们构建了基于同源性的人类AFP(HAFP)3D模型,目的是将ERα配体,三种激动剂(17β-雌二醇,雌酮和己二烯雌酚)和三种拮抗剂(他莫昔芬,阿莫西芬和内皮西芬)分子对接进入获得的结构。基于配体对接评分功能,我们确定了三个假定的雌激素和抗雌激素结合位点,具有不同的配体结合亲和力。两个高亲和力结合位点位于(i)在HAFP子结构域IB和IIA内形成的隧道中,和(ii)在分子的相对侧位于结构域I和III之间形成的腔中的凹槽中,而(iii)在腔的底部发现了第三个低亲和力结合位点。在这里,通过100 ns的分子动力学(MD)模拟,我们可以研究它们的几何形状,并表明HAFP与雌激素的相互作用是由范德华力引起的,而疏水和静电相互作用几乎均等地参与了HAFP与抗雌激素的结合。用于估计结合自由能(ΔG)的分子力学/广义生表面积(MM / GBSA)记录方法表明,与雌激素相比,抗雌激素对HAFP的亲和力更高。我们进行了氨基酸残基的计算机模拟点取代,以确认其在HAFP-配体相互作用中的作用,并显示了Thr132,Leu138,His170,Phe172,Ser217,Gln221,His266,His316,Lys453和Asp478残基,以及两个二硫键( Cys224–Cys270和Cys269–Cys277)在HAFP-雌激素和HAFP-抗雌激素结合中均发挥关键作用。我们从研究中获得的数据有助于理解蛋白质-配体相互作用的基础机制以及基于ERα结合配体的抗癌治疗策略。

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