Szatkowski Lukasz, Lynn Melissa L, Holeman Teryn, Williams Michael R, Baldo Anthony P, Tardiff Jil C, Schwartz Steven D
Department of Chemistry and Biochemistry, University of Arizona, Tucson, Arizona 85721, United States.
Department of Medicine, University of Arizona, Tucson, Arizona 85724, United States.
ACS Omega. 2019 Apr 30;4(4):6492-6501. doi: 10.1021/acsomega.8b03340. Epub 2019 Apr 9.
This article reports a coupled computational experimental approach to design small molecules aimed at targeting genetic cardiomyopathies. We begin with a fully atomistic model of the cardiac thin filament. To this we dock molecules using accepted computational drug binding methodologies. The candidates are screened for their ability to repair alterations in biophysical properties caused by mutation. Hypertrophic and dilated cardiomyopathies caused by mutation are initially biophysical in nature, and the approach we take is to correct the biophysical insult prior to irreversible cardiac damage. Candidate molecules are then tested experimentally for both binding and biophysical properties. This is a proof of concept study-eventually candidate molecules will be tested in transgenic animal models of genetic (sarcomeric) cardiomyopathies.
本文报道了一种用于设计针对遗传性心肌病的小分子的计算与实验相结合的方法。我们从心脏细肌丝的全原子模型开始。在此基础上,我们使用公认的计算药物结合方法对接分子。筛选候选分子修复由突变引起的生物物理特性改变的能力。由突变引起的肥厚性和扩张性心肌病本质上最初是生物物理性的,我们采取的方法是在心脏发生不可逆转的损伤之前纠正生物物理损伤。然后对候选分子进行结合和生物物理特性的实验测试。这是一项概念验证研究——最终候选分子将在遗传性(肌节)心肌病的转基因动物模型中进行测试。