Facultad de Química, Bioquímica y Farmacia, Universidad Nacional de San Luis, Chacabuco, 915, 5700, San Luis, Argentina.
IMIBIO-CONICET, UNSL, Chacabuco 915, 5700, San Luis, Argentina.
J Comput Aided Mol Des. 2018 Jul;32(7):781-791. doi: 10.1007/s10822-018-0129-7. Epub 2018 Jul 3.
We report here the results of two theoretical models to predict the inhibitory effect of inhibitors of sphingosine kinase 1 that stand on different computational basis. The active site of SphK1 is a complex system and the ligands under the study possess a significant conformational flexibility; therefore for our study we performed extended simulations and proper clusterization process. The two theoretical approaches used here, hydrogen bond dynamics propensity analysis and Quantum Theory of Atoms in Molecules (QTAIM) calculations, exhibit excellent correlations with the experimental data. In the case of the hydrogen bond dynamics propensity analysis, it is remarkable that a rather simple methodology with low computational requirements yields results in excellent accord with experimental data. In turn QTAIM calculations are much more computational demanding and are also more complex and tedious for data analysis than the hydrogen bond dynamic propensity analysis. However, this greater computational effort is justified because the QTAIM study, in addition to giving an excellent correlation with the experimental data, also gives us valuable information about which parts or functional groups of the different ligands are those that should be replaced in order to improve the interactions and thereby to increase the affinity for SphK1. Our results indicate that both approaches can be very useful in order to predict the inhibiting effect of new compounds before they are synthesized.
我们在此报告了两种理论模型的结果,这些模型用于预测不同计算基础上的 SphK1 抑制剂的抑制效果。SphK1 的活性部位是一个复杂的系统,研究中的配体具有显著的构象灵活性;因此,我们对研究进行了扩展模拟和适当的聚类处理。这里使用的两种理论方法,氢键动力学倾向分析和分子中的原子量子理论 (QTAIM) 计算,与实验数据具有极好的相关性。在氢键动力学倾向分析的情况下,值得注意的是,一种相对简单的方法,具有较低的计算要求,产生的结果与实验数据非常吻合。反过来,QTAIM 计算的计算要求更高,并且数据分析比氢键动态倾向分析更复杂和繁琐。然而,这种更大的计算工作量是合理的,因为 QTAIM 研究除了与实验数据具有极好的相关性外,还为我们提供了有关哪些部分或不同配体的功能基团应该被替换的有价值的信息,以便改善相互作用,从而提高对 SphK1 的亲和力。我们的结果表明,这两种方法都可以非常有用,可以在新化合物合成之前预测它们的抑制效果。