Akram Muhammad, Waratchareeyakul Watcharee, Haupenthal Joerg, Hartmann Rolf W, Schuster Daniela
Institute of Pharmacy - Pharmaceutical Chemistry and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria.
Department of Chemistry, Faculty of Science and Technology, Rambhai Barni Rajabhat University, Chanthaburi, Thailand.
Front Chem. 2017 Dec 19;5:104. doi: 10.3389/fchem.2017.00104. eCollection 2017.
Cortisol synthase (CYP11B1) is the main enzyme for the endogenous synthesis of cortisol and its inhibition is a potential way for the treatment of diseases associated with increased cortisol levels, such as Cushing's syndrome, metabolic diseases, and delayed wound healing. Aldosterone synthase (CYP11B2) is the key enzyme for aldosterone biosynthesis and its inhibition is a promising approach for the treatment of congestive heart failure, cardiac fibrosis, and certain forms of hypertension. Both CYP11B1 and CYP11B2 are structurally very similar and expressed in the adrenal cortex. To facilitate the identification of novel inhibitors of these enzymes, ligand-based pharmacophore models of CYP11B1 and CYP11B2 inhibition were developed. A virtual screening of the SPECS database was performed with our pharmacophore queries. Biological evaluation of the selected hits lead to the discovery of three potent novel inhibitors of both CYP11B1 and CYP11B2 in the submicromolar range (compounds -), one selective CYP11B1 inhibitor (Compound , IC = 2.5 μM), and one selective CYP11B2 inhibitor (compound , IC = 1.1 μM), respectively. The overall success rate of this prospective virtual screening experiment is 20.8% indicating good predictive power of the pharmacophore models.
皮质醇合成酶(CYP11B1)是内源性合成皮质醇的主要酶,抑制该酶是治疗与皮质醇水平升高相关疾病的潜在途径,如库欣综合征、代谢性疾病和伤口愈合延迟。醛固酮合成酶(CYP11B2)是醛固酮生物合成的关键酶,抑制该酶是治疗充血性心力衰竭、心脏纤维化和某些类型高血压的一种有前景的方法。CYP11B1和CYP11B2在结构上非常相似,且都在肾上腺皮质中表达。为便于鉴定这些酶的新型抑制剂,构建了基于配体的CYP11B1和CYP11B2抑制药效团模型。用我们的药效团查询对SPECS数据库进行了虚拟筛选。对所选命中化合物的生物学评估导致发现了三种亚微摩尔范围内的CYP11B1和CYP11B2强效新型抑制剂(化合物-),一种选择性CYP11B1抑制剂(化合物,IC = 2.5 μM),以及一种选择性CYP11B2抑制剂(化合物,IC = 1.1 μM)。这项前瞻性虚拟筛选实验的总体成功率为20.8%,表明药效团模型具有良好的预测能力。