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大环化合物的对接:比较Glide中刚性对接和柔性对接

Docking of Macrocycles: Comparing Rigid and Flexible Docking in Glide.

作者信息

Alogheli Hiba, Olanders Gustav, Schaal Wesley, Brandt Peter, Karlén Anders

机构信息

Department of Medicinal Chemistry, Organic Pharmaceutical Chemistry, Uppsala University, BMC , Box 574, SE-751 23 Uppsala, Sweden.

出版信息

J Chem Inf Model. 2017 Feb 27;57(2):190-202. doi: 10.1021/acs.jcim.6b00443. Epub 2017 Feb 2.

Abstract

In recent years, there has been an increased interest in using macrocyclic compounds for drug discovery and development. For docking of these commonly large and flexible compounds to be addressed, a screening and a validation set were assembled from the PDB consisting of 16 and 31 macrocycle-containing protein complexes, respectively. The macrocycles were docked in Glide by rigid docking of pregenerated conformational ensembles produced by the macrocycle conformational sampling method (MCS) in Schrödinger Release 2015-3 or by direct Glide flexible docking after performing ring-templating. The two protocols were compared to rigid docking of pregenerated conformational ensembles produced by an exhaustive Monte Carlo multiple minimum (MCMM) conformational search and a shorter MCMM conformational search (MCMM-short). The docking accuracy was evaluated and expressed as the RMSD between the heavy atoms of the ligand as found in the X-ray structure after refinement and the poses obtained by the docking protocols. The median RMSD values for top-scored poses of the screening set were 0.83, 0.80, 0.88, and 0.58 Å for MCMM, MCMM-short, MCS, and Glide flexible docking, respectively. There was no statistically significant difference in the performance between rigid docking of pregenerated conformations produced by the MCS and direct docking using Glide flexible docking. However, the flexible docking protocol was 2-times faster in docking the screening set compared to that of the MCS protocol. In a final study, the new Prime-MCS method was evaluated in Schrödinger Release 2016-3. This method is faster compared that of to MCS; however, the conformations generated were found to be suboptimal for rigid docking. Therefore, on the basis of timing, accuracy, and ease of set up, standard Glide flexible docking with prior ring-templating is recommended over current gold standard protocols using rigid docking of pregenerated conformational ensembles.

摘要

近年来,人们对使用大环化合物进行药物发现和开发的兴趣日益增加。为了解决这些通常较大且灵活的化合物的对接问题,从蛋白质数据银行(PDB)中分别选取了16个和31个含大环的蛋白质复合物,组成了一个筛选集和一个验证集。大环通过以下方式在Glide中进行对接:一种是对由Schrödinger 2015-3版中的大环构象采样方法(MCS)生成的预先生成的构象集合进行刚性对接,另一种是在进行环模板化后通过直接的Glide柔性对接。将这两种方案与通过穷举蒙特卡洛多极小值(MCMM)构象搜索和较短的MCMM构象搜索(MCMM-short)生成的预先生成的构象集合的刚性对接进行了比较。对接准确性通过精修后X射线结构中发现的配体重原子与对接方案获得的构象之间的均方根偏差(RMSD)来评估和表示。对于筛选集得分最高的构象,MCMM、MCMM-short、MCS和Glide柔性对接的中位RMSD值分别为0.83 Å、0.80 Å、0.88 Å和0.58 Å。由MCS生成的预先生成构象的刚性对接与使用Glide柔性对接的直接对接之间的性能没有统计学上的显著差异。然而,柔性对接方案对接筛选集的速度比MCS方案快2倍。在一项最终研究中,对Schrödinger 2016-3版中的新Prime-MCS方法进行了评估。该方法比MCS更快;然而,发现生成的构象对于刚性对接而言并非最优。因此,基于时间、准确性和设置的简便性,建议使用带有先验环模板化的标准Glide柔性对接,而不是使用预先生成构象集合的刚性对接的当前金标准方案。

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