Chemistry Department, Faculty of Science, Al-Azhar University (Boys Branch), Nasr City, Cairo, Egypt.
King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia.
Spectrochim Acta A Mol Biomol Spectrosc. 2019 Jul 5;218:248-262. doi: 10.1016/j.saa.2019.02.074. Epub 2019 Apr 7.
Novel coumarin amino acid derivatives were synthesized. The structure of synthesized compounds has established on basis of different spectral data. The optimization geometry, frontier molecular orbitals (FMOs), thermodynamic parameters and chemical reactivity, were discussed using DFT\B3LYP by 6-311G* basis set, to identify a clear view for inter and intramolecular interaction of tested compounds. The molecular electrostatic potential (MEP) has plotted to investigate a recognition manner of synthesized compounds upon COX-2 receptor. All tested compounds showed a promising (NLOs) nonlinear optical properties. Bond dissociation energy (BDE) has studied to investigate a potency of these molecules against autoxidation mechanism Polynomial molecular docking logarithms have performed into the COX-2 active site for tested compounds. The docking protocol that has low RMSD has selected for discussion the binding affinity. The compounds with a high docking score 3,4,6-8,10 and 11 were selected for additional study against ADMET insilico, which showed that these compounds are a good oral bioavailability without observed carcinogenesis affect. The compounds (3,4,6-8,10 and 11) which that passed through docking and ADMET profile have examined their potency against (MCF-7) breast cancer cell in vitro. The compound 7 showed a highest potency against MCF-7 with IC value 0.39 μM. The QSAR model has created to discover the structural necessity inhibition of MCF-7. The derived QSAR model has a statistically significant with a good predictive power.
新型香豆素氨基酸衍生物被合成。合成化合物的结构是基于不同的光谱数据确定的。利用 DFT\B3LYP 方法和 6-311G*基组,讨论了优化的几何形状、前线分子轨道(FMOs)、热力学参数和化学反应性,以确定测试化合物的分子内和分子间相互作用的清晰视图。绘制分子静电势(MEP)以研究合成化合物对 COX-2 受体的识别方式。所有测试的化合物均表现出有前途的(NLOs)非线性光学性质。研究了键离解能(BDE)以研究这些分子对自动氧化机制的效力。对 COX-2 活性位点进行了多项式分子对接对数研究,以研究测试化合物的结合亲和力。选择具有低 RMSD 的对接方案进行讨论。选择具有高对接分数 3、4、6-8、10 和 11 的化合物进行 ADMET in silico 研究,结果表明这些化合物具有良好的口服生物利用度,且没有观察到致癌作用的影响。通过对接和 ADMET 分析筛选出的化合物 3、4、6-8、10 和 11 对 MCF-7 乳腺癌细胞进行了体外药效学研究。化合物 7 对 MCF-7 的抑制活性最强,IC 值为 0.39μM。建立了 QSAR 模型,以发现 MCF-7 抑制的结构必要性。所得到的 QSAR 模型具有统计学意义和良好的预测能力。