School of Life Science, Linyi University, Linyi 276000, China.
Department of Microbiology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia.
Int J Mol Sci. 2018 Dec 29;20(1):115. doi: 10.3390/ijms20010115.
Dityrosine is the product of oxidation that has been linked to a number of serious pathological conditions. Evidence indicates that high amounts of dityrosine exist in oxidized milk powders and some milk related foodstuffs, further reducing the nutritional value of oxidized proteins. Therefore, we hypothesize that some receptors related to special diseases would be targets for dityrosine. However, the mechanisms of the interaction of dityrosine with probable targets are still unknown. In the present work, an inverse virtual screening approach was performed to screen possible novel targets for dityrosine. Molecular docking studies were performed on a panel of targets extracted from the potential drug target database (PDTD) to optimize and validate the screening results. Firstly, two different conformations cis- and trans- were found for dityrosine during minimization. Moreover, Tubulin (αT) (-11.0 kcal/mol) was identified as a target for cis-dityrosine (CDT), targets including αT (-11.2 kcal/mol) and thyroid hormone receptor beta-1 (-10.7 kcal/mol) presented high binding affinities for trans-dityrosine (TDT). Furthermore, in order to provide binding complexes with higher precision, the three docked systems were further refined by performing thermo dynamic simulations. A series of techniques for searching for the most stable binding pose and the calculation of binding free energy are elaborately provided in this work. The major interactions between these targets and dityrosine were hydrophobic, electrostatic and hydrogen bonding. The application of inverse virtual screening method may facilitate the prediction of unknown targets for known ligands, and direct future experimental assays.
二酪氨酸是氧化的产物,与许多严重的病理状况有关。有证据表明,大量的二酪氨酸存在于氧化的奶粉和一些与牛奶有关的食品中,这进一步降低了氧化蛋白质的营养价值。因此,我们假设一些与特殊疾病有关的受体可能是二酪氨酸的靶点。然而,二酪氨酸与可能的靶点相互作用的机制尚不清楚。在本工作中,采用反向虚拟筛选方法筛选二酪氨酸的可能新靶点。对从潜在药物靶点数据库(PDTD)中提取的靶点进行分子对接研究,以优化和验证筛选结果。首先,在最小化过程中发现二酪氨酸有两种不同的构象顺式和反式。此外,微管蛋白(αT)(-11.0 千卡/摩尔)被鉴定为顺式二酪氨酸(CDT)的靶点,包括αT(-11.2 千卡/摩尔)和甲状腺激素受体β-1(-10.7 千卡/摩尔)对反式二酪氨酸(TDT)表现出高的结合亲和力。此外,为了提供具有更高精度的结合复合物,通过进行热力学模拟进一步优化了三个对接系统。本文详细提供了一系列用于搜索最稳定结合构象和计算结合自由能的技术。这些靶点与二酪氨酸之间的主要相互作用是疏水、静电和氢键。反向虚拟筛选方法的应用可以促进已知配体未知靶点的预测,并指导未来的实验研究。