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通过复杂流变学测量和分子动力学模拟预测并表征Cherry-Tag™在高浓度蛋白质溶液中的稳定性增强作用

Prediction and characterization of the stability enhancing effect of the Cherry-Tag™ in highly concentrated protein solutions by complex rheological measurements and MD simulations.

作者信息

Baumann Pascal, Schermeyer Marie-Therese, Burghardt Hannah, Dürr Cathrin, Gärtner Jonas, Hubbuch Jürgen

机构信息

Biomolecular Separation Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.

Biomolecular Separation Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.

出版信息

Int J Pharm. 2017 Oct 5;531(1):360-371. doi: 10.1016/j.ijpharm.2017.08.068. Epub 2017 Aug 12.

Abstract

Solution stability attributes are one of the key parameters within the production and launching phase of new biopharmaceuticals. Instabilities of active biological compounds can reduce the yield of biopharmaceutical productions, and may induce undesired reactions in patients, such as immunogenic rejections. Protein solution stability thus needs to be engineered and monitored throughout production and storage. In contrast to the gold standard of long-term storage experiments applied in industry, novel experimental and in silico molecular dynamics tools for predicting protein solution stability can be applied within several minutes or hours. Here, a rheological approach in combination with molecular dynamics simulations are presented, for determining and predicting long-term phase behavior of highly concentrated protein solutions. A diversity of liquid phase conditions, including salt type, ionic strength, pH and protein concentration are tested in a Glutathione-S-Transferase (GST) case study, in combination with the enzyme with and without solubility-enhancing Cherry-Tag™. The rheological characterization of GST and Cherry-GST solutions enabled a fast and efficient prediction of protein instabilities without the need of long-term protein phase diagrams. Finally, the strong solubility enhancing properties of the Cherry-Tag™ were revealed by investigating protein surface properties in MD simulations. The tag highly altered the overall surface charge and hydrophobicity of GST, making it less accessible to alteration by the chemical surrounding.

摘要

溶液稳定性属性是新型生物制药生产和上市阶段的关键参数之一。活性生物化合物的不稳定性会降低生物制药生产的产量,并可能在患者体内引发不良反应,如免疫排斥反应。因此,在整个生产和储存过程中都需要对蛋白质溶液稳定性进行设计和监测。与工业中应用的长期储存实验的金标准不同,用于预测蛋白质溶液稳定性的新型实验和计算机模拟分子动力学工具可以在几分钟或几小时内应用。在此,提出了一种结合分子动力学模拟的流变学方法,用于确定和预测高浓度蛋白质溶液的长期相行为。在谷胱甘肽 - S - 转移酶(GST)案例研究中,测试了多种液相条件,包括盐类型、离子强度、pH值和蛋白质浓度,并结合有无溶解度增强型Cherry - Tag™的酶。GST和Cherry - GST溶液的流变学表征能够快速有效地预测蛋白质不稳定性,而无需长期的蛋白质相图。最后,通过分子动力学模拟研究蛋白质表面性质,揭示了Cherry - Tag™强大的溶解度增强特性。该标签极大地改变了GST的整体表面电荷和疏水性,使其较不易受到化学环境的影响。

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