Castilho Marcelo S, Guido Rafael V C, Andricopulo Adriano D
Laboratório de Bioinformática e Modelagem Molecular, Faculdade de Farmácia, Universidade Federal da Bahia, Campus Universitário de Ondina, 40170-290 Salvador, BA, Brazil.
Bioorg Med Chem. 2007 Sep 15;15(18):6242-52. doi: 10.1016/j.bmc.2007.06.021. Epub 2007 Jun 13.
Coronary heart disease (CHD) is one of the major causes of human death. The most successful therapeutic approach available is based on the reduction of low density-lipoprotein cholesterol (LDL-C). However, it is believed that the next paradigm in CHD treatment will rely on increased HDL-C levels. One of the most promising strategies for this goal is the inhibition of cholesteryl ester transfer protein (CETP). In the present work, robust classical 2D QSAR (r(2)=0.76, q(2)=0.72) and hologram QSAR (r(2)=0.88, q(2)=0.70) models were developed for a series of 85 CETP inhibitors (N-N-disubstituted trifluoro-3-amino-2-propanol derivatives). These models are complementary in nature and highlight important structural features for the design of novel CETP inhibitors with improved potency.
冠心病(CHD)是人类死亡的主要原因之一。目前最成功的治疗方法是基于降低低密度脂蛋白胆固醇(LDL-C)。然而,人们认为冠心病治疗的下一个范例将依赖于提高高密度脂蛋白胆固醇(HDL-C)水平。实现这一目标最有前景的策略之一是抑制胆固醇酯转移蛋白(CETP)。在本研究中,针对一系列85种CETP抑制剂(N-N-二取代三氟-3-氨基-2-丙醇衍生物)建立了稳健的经典二维定量构效关系(r(2)=0.76,q(2)=0.72)和全息定量构效关系(r(2)=0.88,q(2)=0.70)模型。这些模型本质上是互补的,并突出了设计具有更高效力的新型CETP抑制剂的重要结构特征。