Department of Pharmacy, Faculty of Pharmaceutical Sciences, University of Sao Paulo, Av. Prof. Lineu Prestes, 580, Bloco 13, Sao Paulo, SP, 05586-900, Brazil.
J Comput Aided Mol Des. 2010 Feb;24(2):157-72. doi: 10.1007/s10822-010-9323-y. Epub 2010 Mar 10.
Tuberculosis (TB) is the primary cause of mortality among infectious diseases. Mycobacterium tuberculosis monophosphate kinase (TMPKmt) is essential to DNA replication. Thus, this enzyme represents a promising target for developing new drugs against TB. In the present study, the receptor-independent, RI, 4D-QSAR method has been used to develop QSAR models and corresponding 3D-pharmacophores for a set of 81 thymidine analogues, and two corresponding subsets, reported as inhibitors of TMPKmt. The resulting optimized models are not only statistically significant with r(2) ranging from 0.83 to 0.92 and q(2) from 0.78 to 0.88, but also are robustly predictive based on test set predictions. The most and the least potent inhibitors in their respective postulated active conformations, derived from each of the models, were docked in the active site of the TMPKmt crystal structure. There is a solid consistency between the 3D-pharmacophore sites defined by the QSAR models and interactions with binding site residues. Moreover, the QSAR models provide insights regarding a probable mechanism of action of the analogues.
结核病(TB)是传染病死亡的主要原因。结核分枝杆菌单磷酸激酶(TMPKmt)对于 DNA 复制至关重要。因此,该酶代表了开发抗结核新药的有前途的靶标。在本研究中,受体独立的 RI 4D-QSAR 方法已被用于为一组 81 种胸苷类似物和两个相应的子集(报道为 TMPKmt 的抑制剂)开发 QSAR 模型和相应的 3D 药效团。所得优化模型不仅在统计学上具有显著意义,r(2)范围为 0.83 至 0.92,q(2)范围为 0.78 至 0.88,而且基于测试集预测具有稳健的预测能力。从每个模型中得出的最有效和最无效的抑制剂在其各自假定的活性构象中进行对接。QSAR 模型定义的 3D 药效团位点与结合位点残基之间的相互作用之间存在很强的一致性。此外,QSAR 模型提供了关于类似物可能作用机制的见解。