![]() ![]() (3) is only valid when is freely mobile in the bulk solution. The procedures of data fitting and model identification are illustrated by experimentally measured SPR sensorgrams.įigure Figure1 1 shows the cartoon scheme of the bivalent analyte model, which is represented by the following two-step process:Ĭartoon scheme for bivalent analyte model. We propose an approach, presented below, that can identify the bivalent model unambiguously. ![]() Therefore, fitting quality alone cannot identify the underlying mechanism. 14–23 As being demonstrated in our previous study, 13 measured SPR profiles can often be fitted to different biphasic models with comparable fitting qualities. In this study, we have explored an approach to identify and analyze the bivalent analyte model that has been used to analyze SPR sensorgrams of a wide range of biomolecular interactions. ![]() However, clear procedure to identify the bivalent analyte mechanism has not been established. Several reports in order to improve resolution of the SPR system, 9–11 SPR data fitting programs, 12 and an analytical solution based approach for the analysis of several biphasic binding mechanisms that are governed by linear rate equations 13 have been reported. 7 Neither the simplest equilibrium SPR data analysis method 6 nor the single exponential fitting of SPR profiles 8 can handle biphasic reaction mechanisms. Surface plasmon resonance (SPR) is a well-accepted label-free tool to investigate and analyze biomolecular interactions, including protein-protein, 1–3 protein-DNA, 4–6 and protein-lipid membrane interactions. ![]()
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