a Department of Biophysics, School of Medicine , Bahcesehir University , Istanbul , Turkey.
b Faculty of Medicine, Department of Biophysics , Trakya University , Edirne , Turkey.
J Biomol Struct Dyn. 2017 Jul;35(9):1899-1915. doi: 10.1080/07391102.2016.1199328. Epub 2016 Jul 17.
Poly(ADP-ribose) polymerase-1 (PARP-1) enzyme has critical roles in DNA replication repair and recombination. Thus, PARP-1 inhibitors play an important role in the cancer therapy. In the current study, we have performed combination of in silico and in vitro studies in order to discover novel inhibitors against PARP-1 target. Structure-based virtual screening was carried out for an available small molecules database. A total of 257,951 ligands from Otava database were screened at the binding pocket of PARP-1 using high-throughput virtual screening techniques. Filtered structures based on predicted binding energy results were then used in more sophisticated molecular docking simulations (i.e. Glide/standard precision, Glide/XP, induced fit docking - IFD, and quantum mechanics polarized ligand docking - QPLD). Potential high binding affinity compounds that are predicted by molecular simulations were then tested by in vitro methods. Computationally proposed compounds as PARP-1 inhibitors (Otava Compound Codes: 7111620047 and 7119980926) were confirmed by in vitro studies. In vitro results showed that compounds 7111620047 and 7119980926 have IC values of 0.56 and 63 μM against PARP-1 target, respectively. The molecular mechanism analysis, free energy perturbation calculations using long multiple molecular dynamics simulations for the discovered compounds which showed high binding affinity against PARP-1 enzyme, as well as structure-based pharmacophore development (E-pharmacophore) studies were also studied.
聚(ADP-核糖)聚合酶-1(PARP-1)酶在 DNA 复制修复和重组中具有关键作用。因此,PARP-1 抑制剂在癌症治疗中发挥着重要作用。在本研究中,我们进行了计算机模拟和体外研究的结合,以发现针对 PARP-1 靶标的新型抑制剂。对可用的小分子数据库进行了基于结构的虚拟筛选。使用高通量虚拟筛选技术,从 Otava 数据库中筛选了 257951 个配体,作用于 PARP-1 的结合口袋。然后,根据预测的结合能结果对筛选出的结构进行更复杂的分子对接模拟(即 Glide/标准精度、Glide/XP、诱导契合对接-IFD 和量子力学极化配体对接-QPLD)。通过分子模拟预测具有高结合亲和力的潜在化合物,然后通过体外方法进行测试。被计算机模拟预测为 PARP-1 抑制剂的化合物(Otava 化合物代码:7111620047 和 7119980926)通过体外研究得到了证实。体外结果表明,化合物 7111620047 和 7119980926 对 PARP-1 靶标具有 0.56 和 63 μM 的 IC 值。还研究了对 PARP-1 酶具有高结合亲和力的发现化合物的分子机制分析、使用长多重分子动力学模拟的自由能扰动计算、基于结构的药效基团开发(E-药效基团)研究。