Sun Y, Ewing T J, Skillman A G, Kuntz I D
Department of Pharmaceutical Chemistry, University of California, San Francisco 94143-0446, USA.
J Comput Aided Mol Des. 1998 Nov;12(6):597-604. doi: 10.1023/a:1008036704754.
We have developed a strategy for efficiently docking a large combinatorial library into a target receptor. For each scaffold orientation, all potential fragments are attached to the scaffold, their interactions with the receptor are individually scored and factorial combinations of fragments are constructed. To test its effectiveness, this approach is compared to two simple control algorithms. Our method is more efficient than the controls at selecting best scoring molecules and at selecting fragments for the construction of an exhaustive combinatorial library. We also carried out a retrospective analysis of the experimental results of a 10 x 10 x 10 exhaustive combinatorial library. An enrichment factor of approximately 4 was found for identifying the compounds in the library that are active at 330 nM.
我们已经开发出一种策略,可将一个大型组合文库高效对接至目标受体。对于每个支架取向,将所有潜在片段连接到支架上,分别对它们与受体的相互作用进行评分,并构建片段的因子组合。为测试其有效性,将该方法与两种简单的对照算法进行比较。在选择得分最高的分子以及为构建详尽组合文库选择片段方面,我们的方法比对照方法更高效。我们还对一个10×10×10详尽组合文库的实验结果进行了回顾性分析。发现识别文库中在330 nM具有活性的化合物时,富集因子约为4。