Center of Scientific Research, Nanyang Medical College, Nanyang, 473061, China.
School of Food and Pharmaceutical Engineering, Zhaoqing University, Zhaoqing, 526061, China.
Comput Biol Chem. 2019 Jun;80:390-397. doi: 10.1016/j.compbiolchem.2019.04.008. Epub 2019 Apr 29.
Squalene synthase (SQS) is a potential target for hyperlipidemia treatment. To identify novel chemical scaffolds of SQS inhibitors, we generated 3D-QSAR pharmacophore models using HypoGen. The best quantitative pharmacophore model, Hypo 1, was selected for virtual screening using two chemical databases, Specs and Traditional Chinese Medicine database (TCM). The best-mapped hit compounds were then subjected to filtering by Lipinskis rule of five and docking studies to refine the hits. Finally, five compounds were selected from the top-ranked hit compounds for SQS inhibitory assay in vitro. Three of these compounds could inhibit SQS in vitro, and should be further evaluated pre-clinically as a treatment for hyperlipidemia.
鲨烯合酶(SQS)是治疗高血脂症的一个潜在靶点。为了鉴定 SQS 抑制剂的新型化学结构骨架,我们使用 HypoGen 生成了 3D-QSAR 药效团模型。选择最佳定量药效团模型 Hypo 1,使用两个化学数据库 Specs 和中药数据库(TCM)进行虚拟筛选。然后,对最佳匹配的命中化合物进行 Lipinski 五规则和对接研究过滤,以优化命中化合物。最后,从排名最高的命中化合物中选择 5 种化合物进行体外 SQS 抑制测定。其中 3 种化合物可在体外抑制 SQS,应作为治疗高血脂症的药物进一步进行临床前评估。