Tatum Natalie J, Duarte Fernanda, Kamerlin Shina C L, Pohl Ehmke
Department of Chemistry , Durham University , South Road , Durham DH1 3LE , U.K.
Department of Chemistry, Chemistry Research Laboratory , University of Oxford , Mansfield Road , Oxford OX1 3TA , U.K.
J Phys Chem Lett. 2019 May 2;10(9):2244-2249. doi: 10.1021/acs.jpclett.9b00741. Epub 2019 Apr 23.
Transcriptional repressor EthR from Mycobacterium tuberculosis is a valuable target for antibiotic booster drugs. We previously reported a virtual screening campaign to identify EthR inhibitors for development. Two ligand binding orientations were often proposed, though only the top scoring pose was utilized for filtering of the large data set. We obtained biophysically validated hits, some of which yielded complex crystal structures. In some cases, the crystallized binding mode and top scoring mode agree, while for others an alternate ligand binding orientation was found. In this contribution, we combine rigid docking, molecular dynamics simulations, and the linear interaction energy method to calculate binding free energies and derive relative binding energies for a number of EthR inhibitors in both modes. This strategy allowed us to correctly predict the most favorable orientation. Therefore, this widely applicable approach will be suitable to triage multiple binding modes within EthR and other potential drug targets with similar characteristics.
结核分枝杆菌的转录抑制因子EthR是抗生素增强药物的一个重要靶点。我们之前报道了一项虚拟筛选活动,以鉴定用于开发的EthR抑制剂。虽然通常提出两种配体结合方向,但仅使用得分最高的构象来筛选大数据集。我们获得了经过生物物理验证的命中物,其中一些产生了复杂的晶体结构。在某些情况下,结晶结合模式与得分最高的模式一致,而在其他情况下,则发现了另一种配体结合方向。在本论文中,我们结合刚性对接、分子动力学模拟和线性相互作用能方法来计算结合自由能,并推导两种模式下多种EthR抑制剂的相对结合能。这种策略使我们能够正确预测最有利的方向。因此,这种广泛适用的方法将适用于筛选EthR以及其他具有相似特征的潜在药物靶点内的多种结合模式。