Literature DB >> 12647311

In silico prediction of drug-binding strengths to human serum albumin.

Gonzalo Colmenarejo1.   

Abstract

Drug binding to Human Serum Albumin (HSA) is an area of intense research. The pharmacokinetics and pharmacodynamics of drugs are strongly affected by their binding to this protein. In this article, the field is reviewed, as well as our models to predict drug-binding affinities to HSA from drug structure. The physiological role of HSA is described, as well as its influence in drug action. The crystal structures of this protein are discussed, emphasizing the two drug-binding sites and the fatty acids binding sites observed therein. The advantages of using high-performance affinity chromatography to rapidly screen drugs for HSA binding are explained. The different QSAR models for HSA binding of restricted families of drugs (both from other groups and our group) are enumerated. Finally, a detailed description of our general models to predict drug-binding strengths to HSA from structure is given. It is expected for these models to be useful in drug design and pharmaceutical research. Copyright 2003 Wiley Periodicals, Inc.

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Year:  2003        PMID: 12647311     DOI: 10.1002/med.10039

Source DB:  PubMed          Journal:  Med Res Rev        ISSN: 0198-6325            Impact factor:   12.944


  38 in total

1.  The effects of glycation on the binding of human serum albumin to warfarin and L-tryptophan.

Authors:  K S Joseph; David S Hage
Journal:  J Pharm Biomed Anal       Date:  2010-05-06       Impact factor: 3.935

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.  Structural determinants of binding of aromates to extracellular matrix: a multi-species multi-mode CoMFA study.

Authors:  Yufen Zhang; Viera Lukacova; Vladimir Bartus; Stefan Balaz
Journal:  Chem Res Toxicol       Date:  2007-01       Impact factor: 3.739

Review 4.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

5.  Use of entrapment and high-performance affinity chromatography to compare the binding of drugs and site-specific probes with normal and glycated human serum albumin.

Authors:  Abby J Jackson; Jeanethe Anguizola; Erika L Pfaunmiller; David S Hage
Journal:  Anal Bioanal Chem       Date:  2013-05-09       Impact factor: 4.142

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

7.  Chromatographic analysis of the effects of fatty acids and glycation on binding by probes for Sudlow sites I and II to human serum albumin.

Authors:  Jeanethe Anguizola; Erin Debolt; D Suresh; David S Hage
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2015-10-09       Impact factor: 3.205

8.  Analysis of drug-protein binding using on-line immunoextraction and high-performance affinity microcolumns: Studies with normal and glycated human serum albumin.

Authors:  Ryan Matsuda; Donald Jobe; Jared Beyersdorf; David S Hage
Journal:  J Chromatogr A       Date:  2015-09-09       Impact factor: 4.759

9.  Analysis of drug interactions with modified proteins by high-performance affinity chromatography: binding of glibenclamide to normal and glycated human serum albumin.

Authors:  Ryan Matsuda; Jeanethe Anguizola; K S Joseph; David S Hage
Journal:  J Chromatogr A       Date:  2012-10-08       Impact factor: 4.759

10.  Evaluation of alternatives to warfarin as probes for Sudlow site I of human serum albumin: characterization by high-performance affinity chromatography.

Authors:  K S Joseph; Annette C Moser; Sara B G Basiaga; John E Schiel; David S Hage
Journal:  J Chromatogr A       Date:  2008-10-01       Impact factor: 4.759

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