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ELECT plus plus: Faster conformational search method for docking flexible molecules using molecular similarity

机译:ELECT plus plus:利用分子相似性对接柔性分子的快速构象搜索方法

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We have developed a program, ELECT + + (Effective LEssening of Conformations by Template molecules in C + +), to speed up the conformational search for small flexible molecules using the similar property principle. We apply this principle to molecular shape and, importantly, to molecular flexibility. After molecules in a database are clustered according to flexibility and shape (FCLUST + +), additional reagents are generated to screen the conformational space of molecules in each cluster (TEMPLATE + +). We call these representative reagents of each cluster template reagents. Template reagents and clustered reagents produce, after reaction, template molecules and clustered molecules, respectively (tREACT + +). The conformations of a template molecule are searched in the context of a macromolecular target. Acceptable conformational choices are then applied to all molecules in its cluster, thus effectively biasing conformational space to speed up conformational searches (tREACT + +). In our incremental search method, it is necessary to calculate the root-mean-square deviations (RMSD) matrix of distances between different conformations of the same molecule to reduce the number of conformations. Instead of calculating the RMSD matrix for all molecules in a cluster, the RMSD matrix of a template molecule is chosen as a reference and applied to all the molecules in its cluster. We demonstrate that FCLUST + + clusters the primary amine reagents from the Available Chemicals Directory (ACD) successfully. The program tSEARCH + + was applied to dihydrofolate reductase with virtual molecules generated by tREACT + + using clustered primary amine reagents. The conformational search by the program tSEARCH + + was about 4.8 times faster than by SEARCH + +, with an acceptable range of errors. (C) 1998 John Wiley & Sons, Inc. [References: 34]
机译:我们开发了一个程序ELECT ++(通过C ++中的模板分子有效消减构象),使用相似的特性原理加快了对柔性小分子的构象搜索。我们将此原理应用于分子形状,重要的是应用于分子柔性。在数据库中的分子根据柔​​韧性和形状进行聚类(FCLUST ++)后,会生成其他试剂来筛选每个聚类中分子的构象空间(TEMPLATE ++)。我们称这些代表试剂为每个簇模板试剂。模板试剂和聚集试剂在反应后分别产生模板分子和聚集分子(tREACT + +)。在大分子靶标的背景下搜索模板分子的构象。然后将可接受的构象选择应用于其簇中的所有分子,从而有效地偏向构象空间以加快构象搜索(tREACT + +)。在我们的增量搜索方法中,有必要计算同一分子不同构象之间距离的均方根偏差(RMSD)矩阵,以减少构象数。代替计算簇中所有分子的RMSD矩阵,而是选择模板分子的RMSD矩阵作为参考,并将其应用于簇中的所有分子。我们证明FCLUST ++成功地将可用化学物质目录(ACD)中的伯胺试剂聚类。程序tSEARCH ++用于聚簇伯胺试剂,将tREACT ++生成的虚拟分子应用于二氢叶酸还原酶。程序tSEARCH ++进行的构象搜索比SEARCH ++快了4.8倍,并且可以接受。 (C)1998 John Wiley&Sons,Inc. [参考:34]

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