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Protein aggregation and lyophilization: Protein structural descriptors as predictors of aggregation propensity

机译:蛋白质聚集和冻干:蛋白质结构描述符可作为聚集倾向的预测因子

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Lyophilization can induce aggregation in therapeutic proteins, but the relative importance of protein structure, formulation and processing conditions are poorly understood. To evaluate the contribution of protein structure to lyophilization-induced aggregation, fifteen proteins were co-lyophilized with each of five excipients. Extent of aggregation following lyophilization, measured using size-exclusion chromatography, was correlated with computational and biophysical protein structural descriptors via multiple linear regression. Descriptor selection was performed using exhaustive search and forward selection. The results demonstrate that, for a given excipient, extent of aggregation is highly correlated by eight to twelve structural descriptors. Leave-one-out cross validation showed that the correlations were able to successfully predict the aggregation for a protein "left out" of the data set. Selected descriptors varied with excipient, indicating both protein structure and excipient type contribute to lyophilization-induced aggregation. The results show some descriptors used to predict protein aggregation in solution are useful in predicting lyophilized protein aggregation.
机译:冻干可以诱导治疗性蛋白质的聚集,但是对蛋白质结构,制剂和加工条件的相对重要性了解甚少。为了评估蛋白质结构对冻干诱导的聚集的贡献,将15种蛋白质与5种赋形剂中的每一种共冻干。使用尺寸排阻色谱法测量的冻干后聚集程度通过多元线性回归与计算和生物物理蛋白质结构描述子相关。使用穷举搜索和前向选择来执行描述符选择。结果表明,对于给定的赋形剂,聚集程度与八到十二个结构描述符高度相关。留一法交叉验证表明,相关性能够成功预测数据集中“遗漏”的蛋白质的聚集。所选的描述符随赋形剂的不同而变化,表明蛋白质结构和赋形剂类型均有助于冻干诱导的聚集。结果表明,一些用于预测溶液中蛋白质聚集的描述符可用于预测冻干的蛋白质聚集。

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