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首页> 外文期刊>International Journal of Pharmaceutics >Prediction and characterization of the stability enhancing effect of the Cherry-Tag (TM) in highly concentrated protein solutions by complex rheological measurements and MD simulations
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Prediction and characterization of the stability enhancing effect of the Cherry-Tag (TM) in highly concentrated protein solutions by complex rheological measurements and MD simulations

机译:复杂流变测量和MD模拟中高浓蛋白溶液中樱桃标签(TM)稳定增强效果的预测与表征

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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-TagTM. 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-TagTM 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. (C) 2017 Elsevier B.V. All rights reserved.
机译:解决方案稳定性属性是新生物制药的生产和发射阶段的关键参数之一。活性生物化合物的稳定性可以降低生物制药产品的产率,并且可以诱导患者如免疫原性排斥反应的不希望的反应。因此,蛋白质溶液稳定性需要在整个生产和储存过程中被设计和监测。与应用在工业中的长期储存实验的金标准相反,用于预测蛋白质溶液稳定性的新型实验和硅分子动力学工具可以在几分钟或小时内施加。这里,提出了与分子动力学模拟结合的流变方法,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,在谷胱甘肽-S-转移酶(GST)案例研究中,在谷胱甘肽-S-转移酶(GST)案例研究中,与具有溶解度增强的樱桃-Gagtm的酶进行多样化,包括盐型,离子强度,pH和蛋白质浓度的多样性。 GST和Cherry-GST溶液的流变表征使得能够快速有效地预测蛋白质不含性,而无需长期蛋白质相图。最后,通过研究MD模拟中的蛋白质表面性质,揭示了樱桃-Gagtm的强溶解度的性能。标签高度改变了GST的整体表面充电和疏水性,使得化学围绕的改变较差。 (c)2017年Elsevier B.V.保留所有权利。

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