Brenk Ruth, Irwin John J, Shoichet Brian K
University of California, San Francisco, Department of Pharmaceutical Chemistry, 1700 4th Street, San Francisco, CA 94143-2550, USA.
J Biomol Screen. 2005 Oct;10(7):667-74. doi: 10.1177/1087057105281047. Epub 2005 Sep 16.
To compare virtual and high-throughput screening in an unbiased way, 50,000 compounds were docked into the 3-dimensional structure of dihydrofolate reductase prospectively, and the results were compared to a subsequent experimental screening of the same library. Undertaking these calculations demanded careful database curation and control calculations with annotated inhibitors. These ultimately led to a ranked list of more likely and less likely inhibitors and to the prediction that relatively few inhibitors would be found in the empirical screen. The latter prediction turned out to be correct, with arguably no validated inhibitors found experimentally. Subsequent retesting of high-scoring docked molecules may have found 2 true inhibitors, although this remains uncertain due to experimental ambiguities. The implications of this study for screening campaigns are considered.
为了以无偏倚的方式比较虚拟筛选和高通量筛选,将50000种化合物前瞻性地对接至二氢叶酸还原酶的三维结构中,并将结果与随后对同一文库进行的实验筛选结果进行比较。进行这些计算需要仔细的数据库管理以及使用带注释的抑制剂进行对照计算。这些最终得出了一个关于可能性较大和较小的抑制剂的排名列表,并预测在经验性筛选中会发现相对较少的抑制剂。后一个预测被证明是正确的,因为在实验中未发现经过验证的抑制剂。对高分对接分子的后续重新测试可能发现了2种真正的抑制剂,不过由于实验的不确定性,这一点仍不确定。本文考虑了该研究对筛选活动的影响。