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基于虚拟筛选和体外研究评价角鲨烯合酶的潜在抑制剂。

Evaluation of potential inhibitors of squalene synthase based on virtual screening and in vitro studies.

机构信息

Center of Scientific Research, Nanyang Medical College, Nanyang, 473061, China.

School of Food and Pharmaceutical Engineering, Zhaoqing University, Zhaoqing, 526061, China.

出版信息

Comput Biol Chem. 2019 Jun;80:390-397. doi: 10.1016/j.compbiolchem.2019.04.008. Epub 2019 Apr 29.

Abstract

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.

摘要

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。

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