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通过 Glide 进行虚拟片段对接:对 190 个蛋白-片段复合物的验证研究。

Virtual fragment docking by Glide: a validation study on 190 protein-fragment complexes.

机构信息

Discovery Chemistry, Gedeon Richter plc., P.O. Box 27, H-1475 Budapest, Hungary.

出版信息

J Chem Inf Model. 2010 Jun 28;50(6):1165-72. doi: 10.1021/ci1000407.

Abstract

The docking accuracy of Glide was evaluated using 16 different docking protocols on 190 protein-fragment complexes representing 78 targets. Standard precision docking (Glide SP) based protocols showed the best performance. The average root-mean-square deviation (rmsd) between the docked and cocrystallized poses achieved by Glide SP with pre- and postprocessing was 1.17 A, and an acceptable binding mode with rmsd < 2 A could be found in 80% of the cases. Comparison of the docking results produced by different protocols suggests that the sampling efficacy of Glide is adequate for fragment docking. The docking accuracy seems to be limited by the performance of scoring schemes, which is supported by the weak correlation between experimental binding affinities and GlideScores. Cross-docking experiments performed on 8 targets represented by 63 complexes revealed that Glide SP gave similar results to that of the computationally more intensive Glide XP. The average rmsd achieved by Glide SP with pre- and postprocessing was 2.06 A, and an acceptable binding mode with rmsd < 2 A could be found in 63% of the cases. These cross-docking results were improved significantly selecting the optimal X-ray structure for each target (average rmsd = 1.3 A, success rate = 77%), indicating the importance of enrichment studies and the use of multiple X-ray structures in virtual fragment screening.

摘要

使用 16 种不同的对接方案对代表 78 个靶标的 190 个蛋白片段复合物评估了 Glide 的对接精度。基于标准精度对接(Glide SP)的方案显示出最佳性能。经过预处理和后处理的 Glide SP 对接和共晶构象之间的平均均方根偏差(rmsd)为 1.17 A,80%的情况下可以找到 rmsd<2 A 的可接受结合模式。不同方案产生的对接结果的比较表明,Glide 的采样效果足以进行片段对接。对接精度似乎受到评分方案性能的限制,这得到了实验结合亲和力与 GlideScores 之间弱相关性的支持。在由 63 个复合物代表的 8 个靶标上进行的交叉对接实验表明,Glide SP 给出的结果与计算上更密集的 Glide XP 相似。经过预处理和后处理的 Glide SP 的平均 rmsd 为 2.06 A,63%的情况下可以找到 rmsd<2 A 的可接受结合模式。通过为每个靶标选择最佳的 X 射线结构(平均 rmsd=1.3 A,成功率=77%)显著改善了这些交叉对接结果,这表明了富集研究和在虚拟片段筛选中使用多个 X 射线结构的重要性。

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