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用于蛋白质相互作用表征和筛选数据分析的表面等离子体共振结合曲线比较

Comparison of surface plasmon resonance binding curves for characterization of protein interactions and analysis of screening data.

作者信息

Karlsson Robert, Pol Ewa, Frostell Åsa

机构信息

GE Healthcare Bio-Sciences, SE-751 84 Uppsala, Sweden.

GE Healthcare Bio-Sciences, SE-751 84 Uppsala, Sweden.

出版信息

Anal Biochem. 2016 Jun 1;502:53-63. doi: 10.1016/j.ab.2016.03.007. Epub 2016 Mar 24.

Abstract

Label-free technologies, such as surface plasmon resonance, are typically used for characterization of protein interactions and in screening for selection of antibodies or small molecules with preferred binding properties. In characterization, complete binding curves are normally fitted to defined interaction models to provide affinity and rate constants, whereas report points indicative of binding and stability of binding are often used for analysis of screening data. As an alternative to these procedures, here we describe how the analysis, in certain cases, can be simplified by comparison with upper and lower limit binding curves that represent expected or wanted binding profiles. The use of such profiles is applied to the analysis of kinetically complex IgG-Fc receptor interactions and for selection of antibody candidates. The comparison procedure described may be particularly useful in batch-to-batch comparisons and in comparability and biosimilar studies of biotherapeutic medicines. In screening, more informed selections may become possible as entire binding profiles and not a few report points are used in the analysis and as each new sample is directly compared with a predefined outcome.

摘要

无标记技术,如表面等离子体共振,通常用于蛋白质相互作用的表征以及筛选具有优选结合特性的抗体或小分子。在表征过程中,完整的结合曲线通常拟合到定义的相互作用模型以提供亲和力和速率常数,而指示结合和结合稳定性的报告点通常用于筛选数据分析。作为这些程序的替代方法,我们在此描述在某些情况下如何通过与代表预期或所需结合谱的上限和下限结合曲线进行比较来简化分析。这种谱的使用应用于动力学复杂的IgG-Fc受体相互作用的分析和抗体候选物的选择。所描述的比较程序在批次间比较以及生物治疗药物的可比性和生物相似性研究中可能特别有用。在筛选中,由于分析中使用的是整个结合谱而不是少数报告点,并且每个新样品都直接与预定义的结果进行比较,因此可能会做出更明智的选择。

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