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. 2008 May 1;376(1):154-6.
doi: 10.1016/j.ab.2008.01.035. Epub 2008 Feb 2.

Immobilization of alpha1-acid glycoprotein for chromatographic studies of drug-protein binding II. correction for errors in association constant measurements

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Immobilization of alpha1-acid glycoprotein for chromatographic studies of drug-protein binding II. correction for errors in association constant measurements

Rangan Mallik et al. Anal Biochem. .

Abstract

A new method for the immobilization of alpha(1)-acid glycoprotein (AGP) in high-performance liquid chromatography (HPLC) columns was recently described for applications such as drug binding studies. Part of this earlier work used self-competition zonal elution studies to measure association equilibrium constants between immobilized AGP and R- or S-propranolol. It was later found that analysis of these data by a common equation derived for linear elution conditions gave erroneous values for experiments actually conducted under nonlinear conditions. This report discusses the nature of this error and uses frontal analysis to estimate the true binding strength between R- and S-propranolol and HPLC columns containing immobilized AGP.

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Figures

Figure 1
Figure 1
Frontal analysis results for R-propranolol at pH 7.4 and 37.0°C on a hydrazide-linked AGP column. The measured values for mLapp had precisions of ±0.4 to 13% over the range of propranolol concentrations that were examined. The best-fit line shown in this graph is for the equation mLapp = (mL1Ka1 [Propranolol])/(1 + Ka1[Propranolol]) + (mL2Ka2) [Propranolol], where Ka1 and Ka2 are the association equilibrium constants for a set of selective and non-selective sites for propranolol on AGP, with mL1 and mL2 being the moles of these binding sites that are present in the AGP column. Using the total estimated amount of AGP in the column (mL,AGP), the following relationships were used with the best-fit results to obtain the values for n1 and n2 Ka2 that are given in the text: mL1/mL,AGP = n1 and (mL2 Ka2)/mL,AGP = n2 Ka2. The dashed line in the inset shows the response predicted for the high affinity selective site in the two-site model.

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