首页> 外文期刊>Journal of chemical information and modeling >Docking Ligands into Flexible and Solvated Macromolecules. 7. Impact of Protein Flexibility and Water Molecules on Docking-Based Virtual Screening Accuracy
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Docking Ligands into Flexible and Solvated Macromolecules. 7. Impact of Protein Flexibility and Water Molecules on Docking-Based Virtual Screening Accuracy

机译:将配体对接到柔性和溶剂化的大分子中。 7.蛋白质柔性和水分子对基于对接的虚拟筛选精度的影响

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The use of predictive computational methods in the drug discovery process is in a state of continual growth. Over the last two decades, an increasingly large number of docking tools have been developed to identify hits or optimize lead molecules through in-silico screening of chemical libraries to proteins. In recent years, the focus has been on implementing protein flexibility and water molecules. Our efforts led to the development of Fitted first reported in 2007 and further developed since then. In this study, we wished to evaluate the impact of protein flexibility and occurrence of water molecules on the accuracy of the Fitted docking program to discriminate active compounds from inactive compounds in virtual screening (VS) campaigns. For this purpose, a total of 171 proteins cocrystallized with small molecules representing 40 unique enzymes and receptors as well as sets of known ligands and decoys were selected from the Protein Data Bank (PDB) and the Directory of Useful Decoys (DUD), respectively. This study revealed that implementing displaceable crystallographic or computationally placed particle water molecules and protein flexibility can improve the enrichment in active compounds. In addition, an informed decision based on library diversity or research objectives (hit discovery vs lead optimization) on which implementation to use may lead to significant improvements.
机译:在药物发现过程中使用预测计算方法处于持续增长的状态。在过去的二十年中,已经开发出越来越大的对接工具来通过硅藻土筛选化学文库的硅基筛选来识别命中或优化铅分子。近年来,重点是实施蛋白质柔性和水分子。我们的努力导致了2007年首次报告的拟合,从那时起进一步发展。在这项研究中,我们希望评估蛋白质灵活性和水分子的影响对拟合对接程序的准确性,以在虚拟筛选(VS)运动中从非活性化合物区分活性化合物。为此目的,共有171个蛋白质与代表40个独特酶和受体的小分子,以及一组已知配体和诱饵,分别选自蛋白质数据库(PDB)和有用的诱饵(DUD)目录。该研究表明,实施可移动的晶体或计算粒水分子和蛋白质柔性可以改善活性化合物的富集。此外,基于图书馆多样性或研究目标的知情决策(命中发现与vs优化优化)可能会导致显着的改进。

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