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天然产物作为化学预防剂:通过潜在抑制ErbB受体激酶结构域发挥作用

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

作者信息

Olivero-Acosta Maria, Maldonado-Rojas Wilson, Olivero-Verbel Jesus

机构信息

Environmental and Computational Chemistry Group, School of Pharmaceutical Sciences, Zaragocilla Campus, University of Cartagena, Cartagena 130015, Colombia.

出版信息

Molecules. 2017 Feb 17;22(2):308. doi: 10.3390/molecules22020308.

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. IC values followed a significant linear relationship with the theoretical binding Affinity data for HER1 ( = 0.656, < 0.0001) and HER2 ( = 0.543, < 0.0001), but not for HER4 ( = 0.364, > 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.

摘要

天然产物中发现的小分子因其药理或生物活性而具有治疗作用,这些活性可能会增加或降低人类表皮生长因子受体(HER)的表达,HER是参与过度细胞生长的信号级联修饰中的一个有前景的靶点。在本研究中,使用AutoDock Vina进行了计算机模拟分子蛋白-配体对接实验,以评估来自NatProd Collection(http://www.msdiscovery.com/natprod.html)的800种天然化合物(NP)与四种人类HER家族成员的相互作用:HER1(PDB:2ITW)、HER2(PDB:3PP0)、HER3(PDB:3LMG)和HER4(PDB:2R4B)。对接对的最佳结合亲和力值(kcal/mol)分别为HER1-波多托他林(-10.7)、HER2-乙酸海柯皂苷元(-11.2)、HER3-橙皮苷(-11.5)和HER4-茶黄素(-10.7)。利用已发表的与计算机模拟结合计算相关的HER抑制数据评估了理论计算的可靠性。IC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线性关系,但与HER4(r = 0.364,p > 0.05)无关。简而言之,该方法能够鉴定出几种作为HER抑制剂的NP,有助于发现和设计更有效、更具选择性的抗癌药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bf9/6155853/01d156992321/molecules-22-00308-g001.jpg

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