Literature DB >> 15502818

Quantitative analysis of allosteric drug-protein binding by biointeraction chromatography.

Jianzhong Chen1, David S Hage.   

Abstract

Allosteric interactions are important in many biological processes. They occur when the interactions of one substance with a binding agent changes the interactions of a second substance with the same agent at a separate site. Such interactions are often observed during the binding of drugs to blood proteins such as human serum albumin (HSA). Most previous studies of allosteric interactions have involved only qualitative observations of increased or decreased binding. In this study, we present an approach for quantitatively characterizing such allosteric effects using protein columns. The method is used to examine the interactions of ibuprofen/S-lorazepam acetate, S-oxazepam hemisuccinate/R-oxazepam hemisuccinate, and L-tryptophan/phenytoin during their binding to HSA. This approach can be applied to other receptors or biopolymers and can be used to independently examine the effects of two competing agents during an allosteric interaction.

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Year:  2004        PMID: 15502818     DOI: 10.1038/nbt1022

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  23 in total

1.  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

Review 2.  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

3.  Quantitative studies of allosteric effects by biointeraction chromatography: analysis of protein binding for low-solubility drugs.

Authors:  Jianzhong Chen; David S Hage
Journal:  Anal Chem       Date:  2006-04-15       Impact factor: 6.986

Review 4.  Analysis of solute-protein interactions and solute-solute competition by zonal elution affinity chromatography.

Authors:  Pingyang Tao; Saumen Poddar; Zuchen Sun; David S Hage; Jianzhong Chen
Journal:  Methods       Date:  2018-02-02       Impact factor: 3.608

5.  The development of mitochondrial membrane affinity chromatography columns for the study of mitochondrial transmembrane proteins.

Authors:  K-L Habicht; N S Singh; F E Indig; I W Wainer; R Moaddel; R Shimmo
Journal:  Anal Biochem       Date:  2015-06-04       Impact factor: 3.365

6.  Analysis of multi-site drug-protein interactions by high-performance affinity chromatography: Binding by glimepiride to normal or glycated human serum albumin.

Authors:  Ryan Matsuda; Zhao Li; Xiwei Zheng; David S Hage
Journal:  J Chromatogr A       Date:  2015-07-06       Impact factor: 4.759

Review 7.  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

8.  Studies of verapamil binding to human serum albumin by high-performance affinity chromatography.

Authors:  Rangan Mallik; Michelle J Yoo; Sike Chen; David S Hage
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2008-10-21       Impact factor: 3.205

Review 9.  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

Review 10.  Characterization of drug-protein interactions in blood using high-performance affinity chromatography.

Authors:  David S Hage; Abby Jackson; Matthew R Sobansky; John E Schiel; Michelle J Yoo; K S Joseph
Journal:  J Sep Sci       Date:  2009-03       Impact factor: 3.645

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