Stepwise frontal affinity chromatography model for drug and protein interaction.

Abstract

Frontal affinity chromatography is an efficient technique that combines affinity interaction and high-performance liquid chromatography, and frontal analysis has been used in studying the interaction between drugs and proteins. Based on frontal analysis, stepwise frontal analysis has been established. The present study aimed to use the Lineweaver-Burk plot in stepwise frontal analysis by taking the weighted average of time data. Commercial human serum albumin (HSA) and alpha-1-acid glycoprotein (AGP) columns were used as an affinity column. Warfarin and digitoxin were chosen as model drugs for the HSA column, whereas verapamil and tamsulosin were selected as model drugs for the AGP column. The time data obtained by frontal analysis and stepwise frontal analysis were compared, and the results revealed good correlation (r2 = 0.9946-0.9998). Frontal analysis and stepwise frontal analysis were also used to analyze the equilibrium dissociation constants (Kd) of model drugs on the HSA and AGP columns. The Kd values were compared with literature values, which revealed the same order of magnitude. These results illustrate that conversion of the time data is reasonable and feasible. The Lineweaver-Burk plot can be used in the stepwise frontal analysis model to study the characteristics of the interaction between drugs and proteins. Graphical abstract ᅟ.