A Comparative Study for the Accuracy of Three Molecular Docking Programs Using HIV-1 Protease Inhibitors as a Model

Twana Mohsin Salih
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引用次数: 2

Abstract

Flexible molecular docking is a computational method of structure-based drug design to evaluate binding interactions between receptor and ligand and identify the ligand conformation within the receptor pocket. Currently, various molecular docking programs are extensively applied; therefore, realizing accuracy and performance of the various docking programs could have a significant value. In this comparative study, the performance and accuracy of three widely used non-commercial docking software (AutoDock Vina, 1-Click Docking, and UCSF DOCK) was evaluated through investigations of the predicted binding affinity and binding conformation of the same set of small molecules (HIV-1 protease inhibitors) and a protein target HIV-1 protease enzyme. The tested sets are composed of eight receptor-ligand complexes with high resolution crystal structures downloaded from Protein Data Bank website. Molecular dockings were applied between approved HIV-1 protease inhibitors and the HIV-1 protease using AutoDock Vina, 1-Click Docking, and DOCK6. Then, docking poses of the top-ranked solution was realized using UCSF Chimera. Furthermore, Pearson correlation coefficient (r) and coefficient of determination (r2) between the experimental results and the top scored docking results of each program were calculated using Graphpad prism V9.2. After comparing saquinavir top scored binding poses of each docking program with the crystal structure, various conformational changes were observed. Moreover, according to the relative comparison between the top ranked calculated ?Gbinding values against the experimental results, r2 value of AutoDock Vina, 1-Click Docking, and DOCK6 were 0.65, 0.41, and 0.005, respectively. The outcome of this study shows that the top scored binding free energy could not produce the best pose prediction. In addition, AutoDock Vina results have the highest correlation with the experimental results.  
以HIV-1蛋白酶抑制剂为模型的三种分子对接方案的准确性比较研究
柔性分子对接是一种基于结构的药物设计计算方法,用于评估受体与配体之间的结合相互作用,识别受体口袋内的配体构象。目前,各种分子对接方案被广泛应用;因此,实现各种对接方案的精度和性能具有重要的价值。在本对比研究中,通过对同一组小分子(HIV-1蛋白酶抑制剂)与蛋白质靶HIV-1蛋白酶酶的预测结合亲和力和结合构象的研究,评估了三种广泛使用的非商业对接软件(AutoDock Vina、1-Click docking和UCSF DOCK)的性能和准确性。测试集由8个高分辨率晶体结构的受体配体复合物组成,这些晶体结构从蛋白质数据库网站下载。通过AutoDock Vina、1-Click Docking和DOCK6,在已批准的HIV-1蛋白酶抑制剂和HIV-1蛋白酶之间进行分子对接。然后,利用UCSF Chimera实现了排名靠前解的对接姿态。利用Graphpad prism V9.2计算实验结果与各方案得分最高的对接结果之间的Pearson相关系数(r)和决定系数(r2)。将各对接方案中沙奎那韦得分最高的结合位与晶体结构进行比较,观察到不同构象的变化。此外,将排名靠前的计算值与实验结果进行相对比较,AutoDock Vina、1-Click Docking和DOCK6的r2值分别为0.65、0.41和0.005。研究结果表明,得分最高的结合自由能不能产生最佳位姿预测。此外,AutoDock Vina结果与实验结果的相关性最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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