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基于结构的虚拟筛选、对接和分子动力学模拟在抑制 EphA2 中的计算研究:小分子发现。

Computational insights into inhibiting EphA2: Integrating structure-based virtual screening, docking, and molecular dynamics simulations for small molecule discovery.

机构信息

Department of Biosciences, Integral University, Lucknow, 226026, Uttar Pradesh, India.

Department of Bioengineering, Integral University, Lucknow, 226026, Uttar Pradesh, India.

出版信息

Cell Mol Biol (Noisy-le-grand). 2024 Sep 8;70(8):16-31. doi: 10.14715/cmb/2024.70.8.3.

Abstract

Elevated expression and dysfunction of ephrin type A receptor-2 (EphA2) have been implicated in the initiation and progression of cancer, metastasis, and unfavorable clinical outcomes. A promising strategy to counteract this dysregulation involves the development of small-molecule inhibitors that target EphA2. Our study focuses on this objective. To initiate Structure-Based Virtual Screening (SBVS), we leveraged an advanced online platform, the Mcule database, which houses an extensive collection of millions of chemical compounds. Using drug similarity filters, we efficiently identified ten thousand potential hits. By further refining the selection through toxicity profiling, we prudently narrowed down the candidates to a more manageable set of 100 molecules. Using the Mcule Single Click, DockThor, and SwissDock tools, we conducted multi-scoring docking assessments of thirty-seven compounds that satisfied the ADME standards. A comprehensive evaluation of Gibbs binding free energy terms, as derived from these docking tools, facilitated the identification of top-ranking docking hits. Remarkably, among the known inhibitors, dasatinib displayed the most robust binding to EphA2 with an average ΔG of -9.0 kcal/mol. Intriguingly, alternatives have emerged in recent years. Notably, small molecules such as Mcule-1579910267 (ΔG: -9.3 kcal/mol), Mcule-1893218381 (ΔG: -9.2 kcal/mol), Mcule-3981378344 (ΔG: -9.3 kcal/mol), and Mcule-8617639093 (ΔG: -9.1 kcal/mol) exhibited a notably strong binding affinity to EphA2, rivaling dasatinib. Subsequently, the four leading ligands along with dasatinib were selected for the MD simulations. Our rigorous analyses during the MD simulation phase encompassing RMSD, RMSF, SASA, ΔGsolv, and Rg underscored the favorable stability of Mcule-8617639093. This compelling evidence ultimately signifies the potential for selective EphA2 inhibition.

摘要

Ephrin 型 A 受体-2(EphA2)的表达升高和功能障碍与癌症的发生、转移和不良临床结局有关。一种有前途的对抗这种失调的策略是开发针对 EphA2 的小分子抑制剂。我们的研究专注于这一目标。为了启动基于结构的虚拟筛选(SBVS),我们利用了一个先进的在线平台,即 Mcule 数据库,其中包含数百万种化学化合物的广泛集合。使用药物相似性过滤器,我们有效地鉴定了一万个潜在的命中化合物。通过进一步通过毒性分析对选择进行细化,我们谨慎地将候选化合物缩小到更易于管理的 100 个分子。使用 Mcule Single Click、DockThor 和 SwissDock 工具,我们对满足 ADME 标准的 37 种化合物进行了多评分对接评估。这些对接工具得出的吉布斯结合自由能项的综合评估有助于确定排名靠前的对接命中化合物。值得注意的是,在已知的抑制剂中,达沙替尼与 EphA2 的结合最为牢固,平均ΔG 为-9.0 kcal/mol。有趣的是,近年来出现了一些替代品。特别是小分子,如 Mcule-1579910267(ΔG:-9.3 kcal/mol)、Mcule-1893218381(ΔG:-9.2 kcal/mol)、Mcule-3981378344(ΔG:-9.3 kcal/mol)和 Mcule-8617639093(ΔG:-9.1 kcal/mol),与达沙替尼相比,对 EphA2 具有明显更强的结合亲和力。随后,选择了前四个主要配体和达沙替尼进行 MD 模拟。在 MD 模拟阶段,我们进行了严格的分析,包括 RMSD、RMSF、SASA、ΔGsolv 和 Rg,这突显了 Mcule-8617639093 的良好稳定性。这一有力证据最终表明了选择性 EphA2 抑制的潜力。

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