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Normal-Mode-Analysis–Monitored Energy Minimization Procedure for Generating Small–Molecule Bound Conformations

机译:正常模式分析-监测的能量最小化过程用于生成小分子束缚构象

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摘要

The energy minimization of a small molecule alone does not automatically stop at a local minimum of the potential energy surface of the molecule if the minimum is shallow, thus leading to folding of the molecule and consequently hampering the generation of the bound conformation of a guest in the absence of its host. This questions the practicality of virtual screening methods that use conformations at local minima of their potential energy surfaces (local minimum conformations) as potential bound conformations. Here we report a normal-mode-analysis–monitored energy minimization (NEM) procedure that generates local minimum conformations as potential bound conformations. Of 22 selected guest–host complex crystal structures with guest structures possessing up to four rotatable bonds, all complexes were reproduced, with guest mass–weighted root mean square deviations of <1.0 Å, through docking with the NEM–generated guest local minimum conformations. An analysis of the potential energies of these local minimum conformations showed that 22 (100%), 18 (82%), 16 (73%), and 12 (55%) of the 22 guest bound conformations in the crystal structures had conformational strain energies of less than or equal to 3.8, 2.0, 0.6, and 0.0 kcal/mol, respectively. These results suggest that (1) the NEM procedure can generate small–molecule bound conformations, and (2) guests adopt low-strain–energy conformations for complexation, thus supporting the virtual screening methods that use local minimum conformations.
机译:如果小分子的能量最小化不会自动停止在分子势能面的局部最小值(如果最小值很浅的话),则导致分子折叠并因此阻碍了客体结合构象的生成。没有它的主人。这质疑了虚拟筛选方法的实用性,该方法使用其势能面的局部最小值处的构象(局部最小构象)作为势垒构象。在这里,我们报告一个正常模式分析监控的能量最小化(NEM)程序,该程序生成局部最小构象作为潜在的约束构象。通过与NEM生成的客体局部最小构象对接,在22个选定的客体-主体复杂晶体结构中,客体结构具有多达四个可旋转的键,从而复制了所有复合物,客体质量加权均方根偏差均<1.0Å。对这些局部最小构象的势能的分析表明,晶体结构中22个客户结合构象中的22个(100%),18个(82%),16个(73%)和12个(55%)具有构象应变能量分别小于或等于3.8、2.0、0.6和0.0 kcal / mol。这些结果表明,(1)NEM程序可以生成小分子结合构象,(2)客体采用低应变能构象进行络合,从而支持使用局部最小构象的虚拟筛选方法。

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