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首页> 外文期刊>Journal of receptor and signal transduction research >Discover potential inhibitors for PFKFB3 using 3D-QSAR, virtual screening, molecular docking and molecular dynamics simulation
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Discover potential inhibitors for PFKFB3 using 3D-QSAR, virtual screening, molecular docking and molecular dynamics simulation

机译:使用3D-QSAR,虚拟筛选,分子对接和分子动力学模拟发现PFKFB3的潜在抑制剂

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摘要

The 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase-3 (PFKFB3) is a master regulator of glycolysis in cancer cells by synthesizing fructose-2,6-bisphosphate (F-2,6-BP), a potent allosteric activator of phosphofructokinase-1 (PFK-1), which is a rate-limiting enzyme of glycolysis. PFKFB3 is an attractive target for cancer treatment. It is valuable to discover promising inhibitors by using 3D-QSAR pharmacophore modeling, virtual screening, molecular docking and molecular dynamics simulation. Twenty molecules with known activity were used to build 3D-QSAR pharmacophore models. The best pharmacophore model was ADHR called Hypo1, which had the highest correlation value of 0.98 and the lowest RMSD of 0.82. Then, the Hypo1 was validated by cost value method, test set method and decoy set validation method. Next, the Hypo1 combined with Lipinski's rule of five and ADMET properties were employed to screen databases including Asinex and Specs, total of 1,048,159 molecules. The hits retrieved from screening were docked into protein by different procedures including HTVS, SP and XP. Finally, nine molecules were picked out as potential PFKFB3 inhibitors. The stability of PFKFB3-lead complexes was verified by 40 ns molecular dynamics simulation. The binding free energy and the energy contribution of per residue to the binding energy were calculated by MM-PBSA based on molecular dynamics simulation.
机译:通过合成果糖-2,6-双磷酸(F-2,6-BP),6-磷滤体-2-激酶/果糖-2,6-双磷酸酶-3(PFKFB3)是癌细胞中糖酵解的常规调节剂。磷酸异喹啉酶-1(PFK-1)的有效变构激活剂,这是糖醇分解的速率限制酶。 PFKFB3是癌症治疗的有吸引力的目标。通过使用3D-QSAR Pharmacophore建模,虚拟筛选,分子对接和分子动力学模拟来发现有前途的抑制剂是有价值的。使用已知活性的20个分子来构建3D-QSAR Pharmacophore模型。最好的药效线模型是ADHR称为HEPO1,其相关值的最高相关值为0.98,最低的RMSD为0.82。然后,通过成本值方法,测试集方法和诱饵设置验证方法验证Hypo1。接下来,使用Hipinski的五分之一和探险性能的Hypo1与筛选数据库,包括ASinex和规格,总计1,048,159分子。从筛选中检索的次数通过包括HTVS,SP和XP在内的不同程序停靠在蛋白质中。最后,将九个分子作为电位PFKFB3抑制剂挑选出来。通过40 ns分子动力学模拟验证了PFKFB3-铅配合物的稳定性。基于分子动力学模拟,通过MM-PBSA计算嵌入的自由能和每残基对结合能的能量贡献。

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