Department of Physics and Astronomy, University of Missouri, Columbia, Missouri 65211, United States.
J Chem Inf Model. 2011 Sep 26;51(9):2107-14. doi: 10.1021/ci200080g. Epub 2011 Aug 3.
Two sets of ligand binding decoys have been constructed for the community structure-activity resource (CSAR) benchmark by using the MDock and DOCK programs for rigid- and flexible-ligand docking, respectively. The decoys generated for each complex in the benchmark thoroughly cover the binding site and also contain a certain number of near-native binding modes. A few scoring functions have been evaluated using the ligand binding decoy sets for their abilities of predicting near-native binding modes. Among them, ITScore achieved a success rate of 86.7% for the rigid-ligand decoys and 79.7% for the flexible-ligand decoys, under the common definition of a successful prediction as root-mean-square deviation <2.0 Å from the native structure if the top-scored binding mode was considered. The decoy sets may serve as benchmarks for binding mode prediction of a scoring function, which are available at the CSAR Web site ( http://www.csardock.org/).
两套配体结合的诱饵已经分别通过 MDock 和 DOCK 程序为社区结构-活性资源 (CSAR) 基准构建,用于刚性和柔性配体对接。为基准中的每个复合物生成的诱饵完全覆盖了结合位点,并且还包含一定数量的近天然结合模式。使用配体结合诱饵集评估了一些评分函数,以评估它们预测近天然结合模式的能力。其中,在共同定义为如果最高评分的结合模式被认为是成功的预测,则根均方偏差 < 2.0 Å 从天然结构的情况下,ITScore 对刚性配体诱饵的成功率为 86.7%,对柔性配体诱饵的成功率为 79.7%。诱饵集可以作为评分函数的结合模式预测的基准,可在 CSAR 网站 (http://www.csardock.org/) 上获得。