Xu Dong, Smolin Nikolai, Shaw Rance K, Battey Samuel R, Tao Aoxiang, Huang Yuying, Rahman Shaikh Emdadur, Caylor Matthew L
Department of Biomedical and Pharmaceutical Sciences, College of Pharmacy, Kasiska Division of Health Sciences, Idaho State University Meridian ID 83642 USA
Department of Cell and Molecular Physiology, Loyola University Chicago Maywood IL 60153 USA.
RSC Adv. 2018 Jan 9;8(5):2315-2322. doi: 10.1039/c7ra12480e.
PEGylation is a widely adopted process to covalently attach a polyethylene glycol (PEG) polymer to a protein drug for the purpose of optimizing drug clinical performance. While the outcomes of PEGylation in imparting pharmacological advantages have been examined through experimental studies, the underlying molecular mechanisms remain poorly understood. Using interferon (IFN) as a representative model system, we carried out comparative molecular dynamics (MD) simulations of free PEG, apo-IFN, and PEG-IFN ( = 50, 100, 200, 300) to characterize the molecular-level changes in IFN introduced by PEGylation. The simulations yielded molecular evidence directly linked to the improved protein stability, bioavailability, retention time, as well as the decrease in protein bioactivity with PEG conjugates. Our results indicate that there is a tradeoff between the benefits and costs of PEGylation. The optimal PEG chain length used in PEGylation needs to strike a good balance among the competing factors and maximizes the overall therapeutic efficacy of the protein drug. We anticipate the study will have a broad implication for protein drug design and development, and provide a unique computational approach in the context of optimizing PEGylated protein drug conjugates.
聚乙二醇化是一种广泛应用的方法,用于将聚乙二醇(PEG)聚合物共价连接到蛋白质药物上,以优化药物的临床性能。虽然通过实验研究已经考察了聚乙二醇化在赋予药理学优势方面的结果,但其潜在的分子机制仍知之甚少。我们以干扰素(IFN)作为代表性模型系统,对游离PEG、脱辅基IFN和PEG-IFN( = 50、100、200、300)进行了比较分子动力学(MD)模拟,以表征聚乙二醇化引入的IFN在分子水平上的变化。模拟结果产生了与蛋白质稳定性提高、生物利用度、保留时间以及PEG缀合物导致的蛋白质生物活性降低直接相关的分子证据。我们的结果表明,聚乙二醇化的益处和成本之间存在权衡。聚乙二醇化中使用的最佳PEG链长度需要在相互竞争的因素之间取得良好平衡,并使蛋白质药物的整体治疗效果最大化。我们预计该研究将对蛋白质药物的设计和开发产生广泛影响,并在优化聚乙二醇化蛋白质药物缀合物的背景下提供一种独特的计算方法。