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基于配体的 Akt3 建模导致有效的双重 Akt1/Akt3 抑制剂。

Ligand-based modeling of Akt3 lead to potent dual Akt1/Akt3 inhibitor.

机构信息

Faculty of Pharmacy, Zarqa University, Zarqa 13132, Jordan.

Department of Pharmaceutical Sciences, Faculty of Pharmacy, The University of Jordan, Amman, Jordan.

出版信息

J Mol Graph Model. 2018 Aug;83:153-166. doi: 10.1016/j.jmgm.2018.02.001. Epub 2018 Feb 13.

Abstract

Akt1 and Akt3 are important serine/threonine-specific protein kinases involved in G2 phase required by cancer cells to maintain cell cycle and to prevent cell death. Accordingly, inhibitors of these kinases should have potent anti-cancer properties. This prompted us to use pharmacophore/QSAR modeling to identify optimal binding models and physicochemical descriptors that explain bioactivity variation within a set of 74 diverse Akt3 inhibitors. Two successful orthogonal pharmacophores were identified and further validated using receiver operating characteristic (ROC) curve analyses. The pharmacophoric models and associated QSAR equation were applied to screen the national cancer institute (NCI) list of compounds for new Akt3 inhibitors. Six hits showed significant experimental anti-Akt3 IC values, out of which one compound exhibited dual low micromolar anti-Akt1 and anti-Akt3 inhibitory profiles.

摘要

Akt1 和 Akt3 是重要的丝氨酸/苏氨酸特异性蛋白激酶,参与癌细胞的 G2 期,以维持细胞周期并防止细胞死亡。因此,这些激酶的抑制剂应该具有很强的抗癌特性。这促使我们使用药效团/QSAR 建模来确定最佳的结合模型和物理化学描述符,以解释一组 74 种不同的 Akt3 抑制剂中的生物活性变化。确定了两个成功的正交药效团,并进一步使用接收者操作特征 (ROC) 曲线分析进行了验证。药效团模型和相关的 QSAR 方程被应用于筛选国立癌症研究所 (NCI) 的化合物库,以寻找新的 Akt3 抑制剂。有 6 个命中化合物显示出显著的实验性抗 Akt3 IC 值,其中一种化合物表现出双重低微摩尔抗 Akt1 和抗 Akt3 抑制谱。

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