Marchand Jean-Rémy, Dalle Vedove Andrea, Lolli Graziano, Caflisch Amedeo
Department of Biochemistry, University of Zürich , CH-8057, Zürich, Switzerland.
Centre for Integrative Biology, University of Trento , I-38123, Povo, Italy.
J Chem Inf Model. 2017 Oct 23;57(10):2584-2597. doi: 10.1021/acs.jcim.7b00336. Epub 2017 Sep 18.
The high-throughput docking protocol called ALTA-VS (anchor-based library tailoring approach for virtual screening) was developed in 2005 for the efficient in silico screening of large libraries of compounds by preselection of only those molecules that have optimal fragments (anchors) for the protein target. Here we present an updated version of ALTA-VS with a broader range of potential applications. The evaluation of binding energy makes use of a classical force field with implicit solvent in the continuum dielectric approximation. In about 2 days per protein target on a 96-core compute cluster (equipped with Xeon E3-1280 quad core processors at 2.5 GHz), the screening of a library of nearly 77 000 diverse molecules with the updated ALTA-VS protocol has resulted in the identification of 19, 3, 3, and 2 μM inhibitors of the human bromodomains ATAD2, BAZ2B, BRD4(1), and CREBBP, respectively. The success ratio (i.e., number of actives in a competition binding assay in vitro divided by the number of compounds tested) ranges from 8% to 13% in dose-response measurements. The poses predicted by fragment-based docking for the three ligands of the BAZ2B bromodomain were confirmed by protein X-ray crystallography.
名为ALTA-VS(基于锚定的虚拟筛选库定制方法)的高通量对接协议于2005年开发,用于通过仅预选那些对蛋白质靶标具有最佳片段(锚定)的分子,对大型化合物库进行高效的计算机筛选。在此,我们展示了具有更广泛潜在应用的ALTA-VS更新版本。结合能的评估利用了在连续介质近似中具有隐式溶剂的经典力场。在配备2.5 GHz至强E3-1280四核处理器的96核计算集群上,针对每个蛋白质靶标大约需要2天时间,使用更新后的ALTA-VS协议对近77000种不同分子的库进行筛选,分别鉴定出了人溴结构域ATAD2、BAZ2B、BRD4(1)和CREBBP的19 μM、3 μM、3 μM和2 μM抑制剂。在剂量反应测量中,成功率(即体外竞争结合试验中的活性物数量除以测试的化合物数量)在8%至13%之间。通过蛋白质X射线晶体学证实了基于片段对接预测的BAZ2B溴结构域的三种配体的构象。