Vigers Guy P A, Rizzi James P
Array BioPharma Inc., 3200 Walnut St, Boulder, Colorado 80301, USA.
J Med Chem. 2004 Jan 1;47(1):80-9. doi: 10.1021/jm030161o.
Several docking programs are now available that can reproduce the bound conformation of a ligand in an active site, for a wide variety of experimentally determined complexes. However, these programs generally perform less well at ranking multiple possible ligands in one site. Since accurate identification of potential ligands is a prerequisite for many aspects of structure-based drug design, this is a serious limitation. We have tested the ability of two docking programs, FlexX and Gold, to match ligands and active sites for multiple complexes. We show that none of the docking scores from either program are able to match consistently ligands and active sites in our tests. We propose a simple statistical correction, the multiple active site correction (MASC), which greatly ameliorates this problem. We have also tested the correction method against an extended set of 63 cocrystals and in a virtual screening experiment. In all cases, MASC significantly improves the results of the docking experiments.
现在有几种对接程序可供使用,对于各种各样通过实验确定的复合物,它们能够重现配体在活性位点的结合构象。然而,这些程序在对一个位点中的多个可能配体进行排序时,通常表现得较差。由于准确识别潜在配体是基于结构的药物设计许多方面的先决条件,这是一个严重的限制。我们测试了两种对接程序FlexX和Gold对多个复合物的配体与活性位点进行匹配的能力。我们表明,在我们的测试中,这两种程序的对接分数都无法始终如一地匹配配体与活性位点。我们提出了一种简单的统计校正方法,即多活性位点校正(MASC),它极大地改善了这个问题。我们还针对一组扩展的63个共晶体以及在虚拟筛选实验中测试了这种校正方法。在所有情况下,MASC都显著改善了对接实验的结果。