Fu Ying, Sun Yi-Na, Yi Ke-Han, Li Ming-Qiang, Cao Hai-Feng, Li Jia-Zhong, Ye Fei
Department of Applied Chemistry, College of Science, Northeast Agricultural University, Harbin 150030, China.
School of Pharmacy, Lanzhou University, 199 West Donggang Rd., Lanzhou 730000, China.
Molecules. 2017 Jun 9;22(6):959. doi: 10.3390/molecules22060959.
-Hydroxyphenylpyruvate dioxygenase (HPPD) is not only the useful molecular target in treating life-threatening tyrosinemia type I, but also an important target for chemical herbicides. A combined in silico structure-based pharmacophore and molecular docking-based virtual screening were performed to identify novel potential HPPD inhibitors. The complex-based pharmacophore model (CBP) with 0.721 of ROC used for screening compounds showed remarkable ability to retrieve known active ligands from among decoy molecules. The ChemDiv database was screened using CBP-Hypo2 as a 3D query, and the best-fit hits subjected to molecular docking with two methods of LibDock and CDOCKER in Accelrys Discovery Studio 2.5 (DS 2.5) to discern interactions with key residues at the active site of HPPD. Four compounds with top rankings in the HipHop model and well-known binding model were finally chosen as lead compounds with potential inhibitory effects on the active site of target. The results provided powerful insight into the development of novel HPPD inhibitors herbicides using computational techniques.
对羟基苯丙酮酸双加氧酶(HPPD)不仅是治疗危及生命的I型酪氨酸血症的有用分子靶点,也是化学除草剂的重要靶点。进行了基于计算机模拟结构的药效团和基于分子对接的虚拟筛选相结合的研究,以鉴定新型潜在的HPPD抑制剂。用于筛选化合物的基于复合物的药效团模型(CBP),其ROC值为0.721,显示出从诱饵分子中检索已知活性配体的显著能力。以CBP-Hypo2作为3D查询对ChemDiv数据库进行筛选,并将最佳匹配的命中物在Accelrys Discovery Studio 2.5(DS 2.5)中用LibDock和CDOCKER两种方法进行分子对接,以识别与HPPD活性位点关键残基的相互作用。最终选择了在HipHop模型和著名结合模型中排名靠前的四种化合物作为对靶点活性位点具有潜在抑制作用的先导化合物。这些结果为利用计算技术开发新型HPPD抑制剂除草剂提供了有力的见解。