Ma Chunyue, Chung Daniel J, Abramson Dylan, Langley David R, Thayer Kelly M
Department of Mathematics & Computer Science, Wesleyan University, Middletown, Connecticut 06459, United States.
Department of Chemistry, Wesleyan University, Middletown, Connecticut 06459, United States.
ACS Omega. 2022 Aug 16;7(34):29587-29597. doi: 10.1021/acsomega.2c01289. eCollection 2022 Aug 30.
Glutathione peroxidase 4 (GPX4) reduces lipid hydroperoxides in lipid membranes, effectively inhibiting iron-dependent cell death or ferroptosis. The upregulation of the enzyme by the mutations at residues D21 and D23 has been suggested to be associated with higher protein activity, which confers more protection against neurodegenerative diseases such as Alzheimer's, Parkinson's, and Huntington's diseases. Therefore, it has become an attractive target for treating and preventing neurodegenerative diseases. However, identifying means of mimicking the beneficial effects of these mutations distant from the active site constitutes a formidable challenge in moving toward therapeutics. In this study, we explore using molecular dynamics simulations to computationally map the conformational and energetic landscape of the wild-type GPX4 protein and three mutant variants to identify the allosteric networks of the enzyme. We present the conformational dynamic profile providing the desired signature behavior of the enzyme. We also discuss the implications of these findings for drug design efforts.
谷胱甘肽过氧化物酶4(GPX4)可还原脂质膜中的脂质氢过氧化物,有效抑制铁依赖性细胞死亡或铁死亡。有人提出,第21位和第23位残基的突变导致该酶上调,这与更高的蛋白质活性有关,从而对阿尔茨海默病、帕金森病和亨廷顿病等神经退行性疾病提供更多保护。因此,它已成为治疗和预防神经退行性疾病的一个有吸引力的靶点。然而,要找到模拟这些远离活性位点的突变的有益效果的方法,在开发治疗方法方面构成了巨大挑战。在本研究中,我们探索使用分子动力学模拟来计算绘制野生型GPX4蛋白和三种突变变体的构象和能量景观,以识别该酶的变构网络。我们展示了提供该酶所需特征行为的构象动态概况。我们还讨论了这些发现对药物设计工作的意义。