Department of Chemistry and Biochemistry, and Skaggs School of Pharmacy and Pharmaceutical Sciences, UC San Diego, La Jolla, CA, 92093, USA.
Departamento de Física, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
Sci Rep. 2022 Aug 10;12(1):13640. doi: 10.1038/s41598-022-17480-w.
We determined the effectiveness of absolute binding free energy (ABFE) calculations to refine the selection of active compounds in virtual compound screening, a setting where the more commonly used relative binding free energy approach is not readily applicable. To do this, we conducted baseline docking calculations of structurally diverse compounds in the DUD-E database for three targets, BACE1, CDK2 and thrombin, followed by ABFE calculations for compounds with high docking scores. The docking calculations alone achieved solid enrichment of active compounds over decoys. Encouragingly, the ABFE calculations then improved on this baseline. Analysis of the results emphasizes the importance of establishing high quality ligand poses as starting points for ABFE calculations, a nontrivial goal when processing a library of diverse compounds without informative co-crystal structures. Overall, our results suggest that ABFE calculations can play a valuable role in the drug discovery process.
我们确定了绝对结合自由能(ABFE)计算在虚拟化合物筛选中精确选择活性化合物的有效性,在这种情况下,更常用的相对结合自由能方法不太适用。为此,我们对 DUD-E 数据库中的三个靶标(BACE1、CDK2 和凝血酶)的结构多样的化合物进行了基线对接计算,然后对具有高对接分数的化合物进行了 ABFE 计算。仅对接计算就实现了对活性化合物相对于诱饵的有效富集。令人鼓舞的是,ABFE 计算在此基础上进一步提高了效果。对结果的分析强调了为 ABFE 计算建立高质量配体构象作为起点的重要性,当处理没有信息丰富的共晶结构的多样化化合物库时,这是一个非平凡的目标。总的来说,我们的结果表明,ABFE 计算可以在药物发现过程中发挥有价值的作用。