Structure-Guided Discovery of Novel, Potent, and Orally Bioavailable Inhibitors of Lipoprotein-Associated Phospholipase A2,Journal of Medicinal Chemistry

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Structure-Guided Discovery of Novel, Potent, and Orally Bioavailable Inhibitors of Lipoprotein-Associated Phospholipase A2
Journal of Medicinal Chemistry ( IF 6.8 ) Pub Date : 2017-12-15 00:00:00 , DOI: 10.1021/acs.jmedchem.7b01530
Qiufeng Liu _{1,

2} , Fubao Huang ₂ , Xiaojing Yuan ₂ , Kai Wang , Yi Zou , Jianhua Shen , Yechun Xu

Affiliation

Lipoprotein-associated phospholipase A2 (Lp-PLA2) is a promising therapeutic target for atherosclerosis, Alzheimer’s disease, and diabetic macular edema. Here we report the identification of novel sulfonamide scaffold Lp-PLA2 inhibitors derived from a relatively weak fragment. Similarity searching on this fragment followed by molecular docking leads to the discovery of a micromolar inhibitor with a 300-fold potency improvement. Subsequently, by the application of a structure-guided design strategy, a successful hit-to-lead optimization was achieved and a number of Lp-PLA2 inhibitors with single-digit nanomolar potency were obtained. After preliminary evaluation of the properties of drug-likeness in vitro and in vivo, compound 37 stands out from this congeneric series of inhibitors for good inhibitory activity and favorable oral bioavailability in male Sprague–Dawley rats, providing a quality candidate for further development. The present study thus clearly demonstrates the power and advantage of integrally employing fragment screening, crystal structures determination, virtual screening, and medicinal chemistry in an efficient lead discovery project, providing a good example for structure-based drug design.

中文翻译：

脂蛋白相关的磷脂酶A2的新型，有效和口服生物利用抑制剂的结构指导的发现。

脂蛋白相关的磷脂酶A2（Lp-PLA2）是动脉粥样硬化，阿尔茨海默氏病和糖尿病性黄斑水肿的有希望的治疗靶标。在这里，我们报告鉴定衍生自相对较弱的片段的新型磺酰胺支架Lp-PLA2抑制剂。在该片段上进行相似搜索，然后进行分子对接，导致发现了一种微摩尔抑制剂，其效价提高了300倍。随后，通过应用结构指导的设计策略，成功实现了从头至尾的优化，并获得了许多具有单位数纳摩尔效价的Lp-PLA2抑制剂。在初步评估了体内和体外的药物相似性后，将化合物37该同类抑制剂系列在雄性Sprague-Dawley大鼠中具有良好的抑制活性和良好的口服生物利用度，从而脱颖而出，为进一步开发提供了良好的候选者。因此，本研究清楚地证明了在有效的铅发现项目中整合使用片段筛选，晶体结构确定，虚拟筛选和药物化学的功能和优势，为基于结构的药物设计提供了一个很好的例子。

更新日期：2017-12-15

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