The Hormel Institute, University of Minnesota, Austin, Minnesota 55912, USA.
J Chem Inf Model. 2011 Nov 28;51(11):2904-14. doi: 10.1021/ci200257b. Epub 2011 Oct 12.
Incorporating receptor flexibility is considered crucial for improvement of docking-based virtual screening. With an abundance of crystallographic structures freely available, docking with multiple crystal structures is believed to be a practical approach to cope with protein flexibility. Here we describe a successful application of the docking of multiple structures to discover novel and potent Chk1 inhibitors. Forty-six Chk1 structures were first compared in single structure docking by predicting the binding mode and recovering known ligands. Combinations of different protein structures were then compared by recovery of known ligands and an optimal ensemble of Chk1 structures were selected. The chosen structures were used in the virtual screening of over 60 000 diverse compounds for Chk1 inhibitors. Six novel compounds ranked at the top of the hits list were tested experimentally, and two of these compounds inhibited Chk1 activity-the best with an IC(50) value of 9.6 μM. Further study indicated that achieving a better enrichment and identifying more diverse compounds was more likely using multiple structures than using only a single structure even when protein structures were randomly selected. Taking into account conformational energy difference did not help to improve enrichment in the top ranked list.
纳入受体柔性被认为是提高基于对接的虚拟筛选的关键。由于大量的晶体结构可以免费获得,因此对接多个晶体结构被认为是应对蛋白质柔性的一种实用方法。在这里,我们描述了一种成功应用对接多个结构来发现新型强效 Chk1 抑制剂的方法。首先,通过预测结合模式和回收已知配体,对 46 个 Chk1 结构进行了单结构对接比较。然后,通过回收已知配体和选择最佳的 Chk1 结构组合,比较了不同蛋白质结构的组合。选择的结构用于对超过 60,000 种不同化合物进行 Chk1 抑制剂的虚拟筛选。在命中列表中排名靠前的六个新型化合物被进行了实验测试,其中两种化合物抑制了 Chk1 活性,最好的一种的 IC50 值为 9.6 μM。进一步的研究表明,即使使用随机选择的蛋白质结构,使用多个结构比使用单个结构更有可能实现更好的富集和识别更多样化的化合物。考虑构象能差异并不能帮助提高排名靠前的化合物的富集度。