Bayraktar Ozge, Ozkirimli Elif, Ulgen Kutlu
Department of Computational Science and Engineering, Bogazici University, 34342 Bebek, Istanbul, Turkey.
Department of Computational Science and Engineering, Bogazici University, 34342 Bebek, Istanbul, Turkey; Department of Chemical Engineering, Bogazici University, 34342 Bebek, Istanbul, Turkey.
Comput Biol Chem. 2017 Aug;69:64-76. doi: 10.1016/j.compbiolchem.2017.05.006. Epub 2017 May 29.
The sphingosine kinase 1 (SK1)/sphingosine-1-phosphate (S1P) signaling pathway is a crucial target for numerous human diseases from cancer to cardiovascular diseases. However, available SK1 inhibitors that target the active site suffer from poor potency, selectivity and pharmacokinetic properties. The selectivity issue of the kinases, which share a highly-conserved ATP-pocket, can be overcome by targeting the less-conserved allosteric sites. SK1 is known to function minimally as a dimer; however, the crystal structure of the SK1 dimer has not been determined. In this study, a template-based algorithm implemented in PRISM was used to predict the SK1 dimer structure and then the possible allosteric sites at the dimer interface were determined via SiteMap. These sites were used in a virtual screening campaign that includes an integrated workflow of structure-based pharmacophore modeling, virtual screening, molecular docking, re-screening of common scaffolds to propose a series of compounds with different scaffolds as potential allosteric SK1 inhibitors. Finally, the stability of the SK1-ligand complexes was analyzed by molecular dynamics simulations. As a final outcome, ligand 7 having a 4,9-dihydro-1H-purine scaffold and ligand 12 having a 2,3,4,9-tetrahydro-1H-β-carboline scaffold were found to be potential selective inhibitors for SK1.
鞘氨醇激酶1(SK1)/1-磷酸鞘氨醇(S1P)信号通路是从癌症到心血管疾病等众多人类疾病的关键靶点。然而,现有的靶向活性位点的SK1抑制剂存在效力、选择性和药代动力学性质不佳的问题。激酶的选择性问题可以通过靶向保守性较低的变构位点来克服,这些激酶共享一个高度保守的ATP口袋。已知SK1至少以二聚体形式发挥作用;然而,SK1二聚体的晶体结构尚未确定。在本研究中,利用PRISM中实现的基于模板的算法预测SK1二聚体结构,然后通过SiteMap确定二聚体界面处可能的变构位点。这些位点被用于虚拟筛选活动,该活动包括基于结构的药效团建模、虚拟筛选、分子对接、常见支架重新筛选的集成工作流程,以提出一系列具有不同支架的化合物作为潜在的SK1变构抑制剂。最后,通过分子动力学模拟分析SK1-配体复合物的稳定性。最终结果是,具有4,9-二氢-1H-嘌呤支架的配体7和具有2,3,4,9-四氢-1H-β-咔啉支架的配体12被发现是SK1的潜在选择性抑制剂。