Literature DB >> 21612784

Detection of heterogeneous drug-protein binding by frontal analysis and high-performance affinity chromatography.

Zenghan Tong1, K S Joseph, David S Hage.   

Abstract

This study examined the use of frontal analysis and high-performance affinity chromatography for detecting heterogeneous binding in biomolecular interactions, using the binding of acetohexamide with human serum albumin (HSA) as a model. It was found through the use of this model system and chromatographic theory that double-reciprocal plots could be used more easily than traditional isotherms for the initial detection of binding site heterogeneity. The deviations from linearity that were seen in double-reciprocal plots as a result of heterogeneity were a function of the analyte concentration, the relative affinities of the binding sites in the system and the amount of each type of site that was present. The size of these deviations was determined and compared under various conditions. Plots were also generated to show what experimental conditions would be needed to observe these deviations for general heterogeneous systems or for cases in which some preliminary information was available on the extent of binding heterogeneity. The methods developed in this work for the detection of binding heterogeneity are not limited to drug interactions with HSA but could be applied to other types of drug-protein binding or to additional biological systems with heterogeneous binding.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21612784      PMCID: PMC3163114          DOI: 10.1016/j.chroma.2011.04.078

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  11 in total

Review 1.  High-performance affinity chromatography: a powerful tool for studying serum protein binding.

Authors:  David S Hage
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2002-02-25       Impact factor: 3.205

2.  Characterization of the binding of sulfonylurea drugs to HSA by high-performance affinity chromatography.

Authors:  K S Joseph; David S Hage
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2010-06-01       Impact factor: 3.205

3.  High performance liquid affinity chromatography (HPLAC) and its application to the separation of enzymes and antigens.

Authors:  S Ohlson; L Hansson; P O Larsson; K Mosbach
Journal:  FEBS Lett       Date:  1978-09-01       Impact factor: 4.124

4.  Biosensor alternative: frontal affinity chromatography.

Authors:  David C Schriemer
Journal:  Anal Chem       Date:  2004-12-01       Impact factor: 6.986

5.  Effects of ligand heterogeneity in the characterization of affinity columns by frontal analysis.

Authors:  S A Tweed; B Loun; D S Hage
Journal:  Anal Chem       Date:  1997-12-01       Impact factor: 6.986

Review 6.  Recent advances in chromatographic and electrophoretic methods for the study of drug-protein interactions.

Authors:  D S Hage; S A Tweed
Journal:  J Chromatogr B Biomed Sci Appl       Date:  1997-10-10

7.  Binding of tolbutamide to glycated human serum albumin.

Authors:  K S Joseph; Jeanethe Anguizola; David S Hage
Journal:  J Pharm Biomed Anal       Date:  2010-09-15       Impact factor: 3.935

8.  Chromatographic analysis of acetohexamide binding to glycated human serum albumin.

Authors:  K S Joseph; Jeanethe Anguizola; Abby J Jackson; David S Hage
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2010-08-21       Impact factor: 3.205

9.  Analysis of drug interactions with high-density lipoprotein by high-performance affinity chromatography.

Authors:  Sike Chen; Matthew R Sobansky; David S Hage
Journal:  Anal Biochem       Date:  2009-10-13       Impact factor: 3.365

10.  Characterization of thyroxine-albumin binding using high-performance affinity chromatography. I. Interactions at the warfarin and indole sites of albumin.

Authors:  B Loun; D S Hage
Journal:  J Chromatogr       Date:  1992-09-02
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  7 in total

Review 1.  Pharmaceutical and biomedical applications of affinity chromatography: recent trends and developments.

Authors:  David S Hage; Jeanethe A Anguizola; Cong Bi; Rong Li; Ryan Matsuda; Efthimia Papastavros; Erika Pfaunmiller; John Vargas; Xiwei Zheng
Journal:  J Pharm Biomed Anal       Date:  2012-01-14       Impact factor: 3.935

Review 2.  Analysis of stereoselective drug interactions with serum proteins by high-performance affinity chromatography: A historical perspective.

Authors:  Zhao Li; David S Hage
Journal:  J Pharm Biomed Anal       Date:  2017-01-11       Impact factor: 3.935

Review 3.  Analysis of biomolecular interactions using affinity microcolumns: a review.

Authors:  Xiwei Zheng; Zhao Li; Sandya Beeram; Maria Podariu; Ryan Matsuda; Erika L Pfaunmiller; Christopher J White; NaTasha Carter; David S Hage
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2014-01-27       Impact factor: 3.205

4.  Characterization of tolazamide binding with glycated and normal human serum albumin by using high-performance affinity chromatography.

Authors:  Pingyang Tao; Zhao Li; Ashley G Woolfork; David S Hage
Journal:  J Pharm Biomed Anal       Date:  2019-01-14       Impact factor: 3.935

5.  Studies of drug interactions with glycated human serum albumin by high-performance affinity chromatography.

Authors:  Ryan Matsuda; So-Hwang Kye; Jeanethe Anguizola; David S Hage
Journal:  Rev Anal Chem       Date:  2014-04-17       Impact factor: 3.067

6.  Chromatographic studies of chlorpropamide interactions with normal and glycated human serum albumin based on affinity microcolumns.

Authors:  Pingyang Tao; Zhao Li; Ryan Matsuda; David S Hage
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2018-09-04       Impact factor: 3.205

7.  Rapid screening of drug-protein binding using high-performance affinity chromatography with columns containing immobilized human serum albumin.

Authors:  Ying-Fei Li; Xiao-Qiong Zhang; Wei-Yu Hu; Zheng Li; Ping-Xia Liu; Zhen-Qing Zhang
Journal:  J Anal Methods Chem       Date:  2013-03-28       Impact factor: 2.193

  7 in total

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