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Dataset of the binding kinetic rate constants of anti-PCSK9 antibodies obtained using the Biacore T100, ProteOn XPR36, Octet RED384, and IBIS MX96 biosensor platforms

机译:使用Biacore T100,ProteOn XPR36,Octet RED384和IBIS MX96生物传感器平台获得的抗PCSK9抗体的结合动力学常数的数据集

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Here we provide data from a head-to-head comparison study using four biosensor platforms: GE Healthcare?s Biacore T100, Bio-Rad?s ProteOn XPR36, ForteBio?s Octet RED384, and Wasatch Microfluidics?s IBIS MX96. We used these instruments to analyze the binding interactions of a panel of ten high-affinity monoclonal antibodies with their antigen, human proprotein convertase subtilisin kexin type 9 (PCSK9). For each instrument, binding curves obtained at multiple densities of surface antibodies were fit to the 1:1 Langmuir kinetic model, and the association and dissociation rate constants and corresponding affinity constants were calculated. The data supplied in this article accompany the research article entitled, “Comparison of biosensor platforms in the evaluation of high affinity antibody–antigen binding kinetics” (Yang et al., 2016) [1], which further discusses the strengths and weaknesses of each biosensor platform with an emphasis on data consistency, comparability, and operational efficiency.
机译:在这里,我们提供了使用四个生物传感器平台进行的对比研究的数据:GE Healthcare的Biacore T100,Bio-Rad的ProteOn XPR36,ForteBio的Octet RED384和Wasatch Microfluidics的IBIS MX96。我们使用这些仪器来分析一组十种高亲和力单克隆抗体与其抗原人源蛋白转化酶枯草杆菌蛋白酶kexin 9型(PCSK9)的结合相互作用。对于每种仪器,将在多种密度的表面抗体下获得的结合曲线拟合至1:1 Langmuir动力学模型,并计算缔合和解离速率常数以及相应的亲和常数。本文提供的数据与研究论文“生物传感器平台在评估高亲和力抗体-抗原结合动力学方面的比较”(Yang等人,2016)[1]伴随着,其中进一步讨论了每种方法的优缺点。生物传感器平台,重点是数据一致性,可比性和运营效率。

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