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An Improved Method of Predicting Extinction Coefficients for the Determination of Protein Concentration

机译:一种改进的预测消光系数来测定蛋白质浓度的方法

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Concentration determination is an important method of protein characterization required in the development of protein therapeutics. There are many known methods for determining the concentration of a protein solution, but the easiest to implement in a manufacturing setting is absorption spectroscopy in the ultraviolet region. For typical proteins composed of the standard amino acids, absorption at wavelengths near 280 nm is due to the three amino acid chromophores tryptophan, tyrosine, and phenylalanine in addition to a contribution from disulfide bonds. According to the Beer-Lambert law, absorbance is proportional to concentration and path length, with the proportionality constant being the extinction coefficient. Typically the extinction coefficient of proteins is experimentally determined by measuring a solution absorbance then experimentally determining the concentration, a measurement with some inherent variability depending on the method used. In this study, extinction coefficients were calculated based on the measured absorbance of model compounds of the four amino acid chromophores. These calculated values for an unfolded protein were then compared with an experimental concentration determination based on enzymatic digestion of proteins. The experimentally determined extinction coefficient for the native proteins was consistently found to be 1.05 times the calculated value for the unfolded proteins for a wide range of proteins with good accuracy and precision under well-controlled experimental conditions. The value of 1.05 times the calculated value was termed the predicted extinction coefficient. Statistical analysis shows that the differences between predicted and experimentally determined coefficients are scattered randomly, indicating no systematic bias between the values among the proteins measured. The predicted extinction coefficient was found to be accurate and not subject to the inherent variability of experimental methods. We propose the use of a predicted extinction coefficient for determining the protein concentration of therapeutic proteins starting from early development through the lifecycle of the product.
机译:浓度测定是蛋白质治疗剂中所需的蛋白质表征的重要方法。有许多已知方法用于确定蛋白质溶液的浓度,但在制造设置中最容易实施的是紫外区域中的吸收光谱。对于由标准氨基酸组成的典型蛋白质,在280nm附近的波长下的吸收是由于三个氨基酸发色团,酪氨酸和苯丙氨酸除了二硫键的贡献之外。根据啤酒兰伯特法,吸光度与浓度和路径长度成比例,比例常数是消光系数。通常,通过测量溶液吸收然后通过实验确定浓度来进行实验确定蛋白质的消光系数,这取决于所用方法,具有一些固有的可变性的测量。在该研究中,基于测量的四个氨基酸发色团的模型化合物的吸光度来计算消光系数。然后将这些展开蛋白的计算值与基于酶促消化的酶蛋白的实验浓度测定进行比较。实验确定的天然蛋白质的消光系数是展开蛋白质在良好的精度和精确度的展开蛋白质的计算值的1.05倍,在受控的实验条件下具有良好的精度和精度。计算值的值为1.05倍被称为预测的消光系数。统计分析表明,预测和实验确定系数之间的差异随机散射,表明测量蛋白质中的值之间没有系统偏压。发现预测的消光系数是准确的,不受实验方法的固有变异性。我们提出了使用预测的消光系数来确定通过产品的生命周期从早期发育开始的治疗蛋白的蛋白质浓度。

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