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Comparative Performance of Several Flexible Docking Programs and Scoring Functions: Enrichment Studies for a Diverse Set of Pharmaceutically Relevant Targets

机译:几种灵活的对接程序和评分功能的比较性能:多种与药物相关的靶标的富集研究

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Virtual screening by molecular docking has become a widely used approach to lead discovery in the pharmaceutical industry when a high-resolution structure of the biological target of interest is available. The performance of three widely used docking programs (Glide, GOLD, and DOCK) for virtual database screening is studied when they are applied to the same protein target and ligand set. Comparisons of the docking programs and scoring functions using a large and diverse data set of pharmaceutically interesting targets and active compounds are carried out. We focus on the problem of docking and scoring flexible compounds which are sterically capable of docking into a rigid conformation of the receptor. The Glide XP methodology is shown to consistently yield enrichments superior to the two alternative methods, while GOLD outperforms DOCK on average. The study also shows that docking into multiple receptor structures can decrease the docking error in screening a diverse set of active compounds.
机译:当可获得感兴趣的生物学靶标的高分辨率结构时,通过分子对接进行的虚拟筛选已成为在制药行业中导致发现的一种广泛使用的方法。当三个对接程序(Glide,GOLD和DOCK)应用于相同的蛋白质靶标和配体集时,它们的性能得到了研究。使用对药物感兴趣的目标物和活性化合物的大量不同数据集,对接程序和评分功能进行了比较。我们专注于对接和刻划在空间上能够对接成受体的刚性构象的柔性化合物的问题。事实证明,Glide XP方法能够始终如一地产生优于两种替代方法的富集效果,而GOLD的平均表现优于DOCK。该研究还表明,对接至多个受体结构可以减少筛选多种活性化合物时的对接误差。

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