J Chem Inf Model. 2011 Feb 28;51(2):196-202. doi: 10.1021/ci100374f. Epub 2011 Jan 5.
Virtual docking algorithms are often evaluated on their ability to separate active ligands from decoy molecules. The current state-of-the-art benchmark, the Directory of Useful Decoys (DUD), minimizes bias by including decoys from a library of synthetically feasible molecules that are physically similar yet chemically dissimilar to the active ligands. We show that by ignoring synthetic feasibility, we can compile a benchmark that is comparable to the DUD and less biased with respect to physical similarity.
虚拟对接算法通常根据其将活性配体与诱饵分子分离的能力进行评估。目前最先进的基准是有用诱饵目录 (DUD),它通过包含来自合成可行分子库的诱饵来最小化偏差,这些诱饵在物理上相似但在化学上与活性配体不同。我们表明,通过忽略合成可行性,我们可以编制一个与 DUD 相当且对物理相似性偏差较小的基准。