Natural Products as Chemopreventive Agents by Potential Inhibition of the Kinase Domain in ErbB Receptors

Maria I. Olivero-Acosta, W. Maldonado-Rojas, J. Olivero-Verbel
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引用次数: 8

Abstract

Small molecules found in natural products provide therapeutic benefits due to their pharmacological or biological activity, which may increase or decrease the expression of human epidermal growth factor receptor (HER), a promising target in the modification of signaling cascades involved in excessive cellular growth. In this study, in silico molecular protein-ligand docking protocols were performed with AutoDock Vina in order to evaluate the interaction of 800 natural compounds (NPs) from the NatProd Collection (http://www.msdiscovery.com/natprod.html), with four human HER family members: HER1 (PDB: 2ITW), HER2 (PDB: 3PP0), HER3 (PDB: 3LMG) and HER4 (PDB: 2R4B). The best binding affinity values (kcal/mol) for docking pairs were obtained for HER1-podototarin (−10.7), HER2-hecogenin acetate (−11.2), HER3-hesperidin (−11.5) and HER4-theaflavin (−10.7). The reliability of the theoretical calculations was evaluated employing published data on HER inhibition correlated with in silico binding calculations. IC50 values followed a significant linear relationship with the theoretical binding Affinity data for HER1 (R = 0.656, p < 0.0001) and HER2 (R = 0.543, p < 0.0001), but not for HER4 (R = 0.364, p > 0.05). In short, this methodology allowed the identification of several NPs as HER inhibitors, being useful in the discovery and design of more potent and selective anticancer drugs.
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通过抑制ErbB受体激酶结构域的天然产物作为化学预防剂
天然产物中的小分子由于其药理或生物活性而提供治疗益处,这些小分子可能增加或减少人表皮生长因子受体(HER)的表达,HER是修饰与细胞过度生长有关的信号级联反应的一个有希望的靶点。在这项研究中,为了评估NatProd Collection (http://www.msdiscovery.com/natprod.html)中800种天然化合物(NPs)与四个人类HER家族成员:HER1 (PDB: 2ITW), HER2 (PDB: 3PP0), HER3 (PDB: 3LMG)和HER4 (PDB: 2R4B)的相互作用,使用AutoDock Vina进行了硅分子蛋白配体对接协议。HER1-podototarin(−10.7)、HER2-hecogenin acetate(−11.2)、her3 -橙皮苷(−11.5)和her4 -茶黄素(−10.7)的对接对结合亲合力值最高(kcal/mol)。理论计算的可靠性评估采用发表的数据HER抑制相关的硅结合计算。IC50值与HER1 (R = 0.656, p < 0.0001)和HER2 (R = 0.543, p < 0.0001)的理论结合亲和力数据呈显著的线性关系,但与HER4 (R = 0.364, p > 0.05)无关。简而言之,这种方法可以识别出几种NPs作为HER抑制剂,这对发现和设计更有效、更有选择性的抗癌药物很有用。
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