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虚拟对接筛选和定量构效关系研究以探索作用于癌症中PI3K的AKT和mTOR抑制剂。

Virtual docking screening and QSAR studies to explore AKT and mTOR inhibitors acting on PI3K in cancers.

作者信息

Kandoussi Ilham, Benherrif Oussama, Lakhlili Wiame, Taoufik Jamal, Ibrahimi Azeddine

机构信息

Biotechnology Laboratory (MedBiotech), Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco.

Laboratory of Medicinal Chemistry, Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco.

出版信息

Contemp Oncol (Pozn). 2020;24(1):5-12. doi: 10.5114/wo.2020.93334. Epub 2020 Feb 26.

Abstract

The phosphoinositide 3-kinase (PI3K) pathway is an important regulator of cell proliferation and metabolism. PI3K activation initiates a signal transduction cascade, of which the major effectors are the kinases AKT and mTOR. Aberrant activation of the PI3K/AKT/mTOR pathway is frequently observed in many human malignancies and the combination of compounds simultaneously targeting different related molecules in the PI3K/AKT/mTOR pathway leads to synergistic activity. To explore the competing common ATP inhibitors PI3K/AKT and PI3K/mTOR we developed a model PI3K-SAR 2D which made it possible to predict the bioactivity of inhibitors of AKT and mTOR towards PI3K; the interaction of the best inhibitors was evaluated by docking analysis and compared to that of dactolisib and pictilisib. A PI3K-SAR model with a correlation coefficient (R2) of 0.81706 and an RMSE of 0.16029 was obtained, which was validated and evaluated by a cross-validation method, LOO. The most predicted AKT and mTOR inhibitors present respectively pIC50 activities between 9.26-9.93 and 9.59-9.87. After docking and several comparisons, inhibitors with better predictions showed better affinity and interaction with PI3K compared to pictilisib and dactolisib, so we found that 4 inhibitors of AKT and 14 mTOR inhibitors met the criteria of Lipinski and Veber and could be future drugs.

摘要

磷酸肌醇3激酶(PI3K)信号通路是细胞增殖和代谢的重要调节因子。PI3K激活引发信号转导级联反应,其中主要效应分子是激酶AKT和mTOR。PI3K/AKT/mTOR信号通路的异常激活在许多人类恶性肿瘤中经常被观察到,同时靶向PI3K/AKT/mTOR信号通路中不同相关分子的化合物组合会产生协同活性。为了探索竞争性的常见ATP抑制剂PI3K/AKT和PI3K/mTOR,我们开发了一个PI3K-SAR二维模型,该模型能够预测AKT和mTOR抑制剂对PI3K的生物活性;通过对接分析评估了最佳抑制剂的相互作用,并与达可替尼和匹地替尼进行了比较。获得了一个相关系数(R2)为0.81706、均方根误差(RMSE)为0.16029的PI3K-SAR模型,该模型通过留一法交叉验证方法进行了验证和评估。预测的大多数AKT和mTOR抑制剂的pIC50活性分别在9.26 - 9.93和9.59 - 9.87之间。经过对接和多次比较,与匹地替尼和达可替尼相比,预测性更好的抑制剂对PI3K表现出更好的亲和力和相互作用,因此我们发现4种AKT抑制剂和14种mTOR抑制剂符合Lipinski和Veber标准,可能成为未来的药物。

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