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Novel phenolic inhibitors of the sarco/endoplasmic reticulum calcium ATPase: identification and characterization by quantitative structure–activity relationship modeling and virtual screening

机译:新型的肌浆/内质网钙ATP酶的酚类抑制剂:通过定量结构-活性关系建模和虚拟筛选进行鉴定和表征

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Inhibitors of the sarco/endoplasmic reticulum calcium ATPase (SERCA) are valuable research tools and hold promise as a new generation of anti-prostate cancer agents. Based on previously determined potencies of phenolic SERCA inhibitors, we created quantitative structure–activity relationship (QSAR) models using three independent development strategies. The obtained QSAR models facilitated virtual screens of several commercial compound collections for novel inhibitors. Sixteen compounds were subsequently evaluated in SERCA activity inhibition assays and 11 showed detectable potencies in the micro- to millimolar range. The experimental results were then incorporated into a comprehensive master QSAR model, whose physical interpretation by partial least squares analysis revealed that properly positioned substituents at the central phenyl ring capable of forming hydrogen bonds and of undergoing hydrophobic interactions were prerequisites for effective SERCA inhibition. The established SAR was in good agreement with findings from previous structural studies, even though it was obtained independently using standard QSAR methodologies.
机译:肌浆网/内质网钙ATP酶(SERCA)的抑制剂是有价值的研究工具,有望作为新一代的抗前列腺癌药物。基于先前确定的酚类SERCA抑制剂的效价,我们使用三种独立的开发策略创建了定量构效关系(QSAR)模型。获得的QSAR模型有助于对几种新型抑制剂的商业化合物的虚拟筛选。随后在SERCA活性抑制试验中评估了16种化合物,其中11种化合物显示了可检测到的微微至毫摩尔范围的效力。然后将实验结果整合到一个全面的QSAR主模型中,该模型通过部分最小二乘分析的物理解释表明,在中央苯环上正确定位的能够形成氢键和发生疏水相互作用的取代基是有效抑制SERCA的前提。既定的SAR与先前结构研究的结果非常吻合,即使它是使用标准QSAR方法独立获得的也是如此。

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