Literature DB >> 15808820

Frontal affinity chromatography with MS detection (FAC-MS) in drug discovery.

Jacek J Slon-Usakiewicz1, William Ng, Jin-Rui Dai, Andrew Pasternak, Peter R Redden.   

Abstract

The emergence of a relatively new technique resulting from a combination of frontal affinity chromatography coupled with MS detection (FAC-MS) has extended the capabilities of MS in drug discovery and development. Its application in a broad range of biological systems, together with its label-free operation, relatively high throughput, ability to rank ligands and determine Kd, makes FAC-MS a universal tool enabling convenient and efficient screening in the identification of new potential drug leads. Here we will highlight FAC-MS screening studies and discuss where it can be applied in evaluating multiple protein-binding sites, protein-protein interactions and inactive proteins, and also in determining selectivity.

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Year:  2005        PMID: 15808820     DOI: 10.1016/S1359-6446(04)03360-4

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  14 in total

1.  Reliable determinations of protein-ligand interactions by direct ESI-MS measurements. Are we there yet?

Authors:  Elena N Kitova; Amr El-Hawiet; Paul D Schnier; John S Klassen
Journal:  J Am Soc Mass Spectrom       Date:  2012-01-21       Impact factor: 3.109

2.  Selective detection of specific protein-ligand complexes by electrosonic spray-precursor ion scan tandem mass spectrometry.

Authors:  Noemi Czuczy; Maria Katona; Zoltan Takats
Journal:  J Am Soc Mass Spectrom       Date:  2008-09-18       Impact factor: 3.109

Review 3.  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

4.  Frontal affinity chromatography-mass spectrometry useful for characterization of new ligands for GPR17 receptor.

Authors:  Enrica Calleri; Stefania Ceruti; Gloria Cristalli; Claudia Martini; Caterina Temporini; Chiara Parravicini; Rosaria Volpini; Simona Daniele; Gabriele Caccialanza; Davide Lecca; Catia Lambertucci; Maria Letizia Trincavelli; Gabriella Marucci; Irving W Wainer; Graziella Ranghino; Piercarlo Fantucci; Maria P Abbracchio; Gabriella Massolini
Journal:  J Med Chem       Date:  2010-05-13       Impact factor: 7.446

Review 5.  Characterization of drug interactions with serum proteins by using high-performance affinity chromatography.

Authors:  David S Hage; Jeanethe Anguizola; Omar Barnaby; Abby Jackson; Michelle J Yoo; Efthimia Papastavros; Erika Pfaunmiller; Matt Sobansky; Zenghan Tong
Journal:  Curr Drug Metab       Date:  2011-05       Impact factor: 3.731

Review 6.  Analysis of Biological Interactions by Affinity Chromatography: Clinical and Pharmaceutical Applications.

Authors:  David S Hage
Journal:  Clin Chem       Date:  2017-04-10       Impact factor: 8.327

Review 7.  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

8.  Buffer optimization of thermal melt assays of Plasmodium proteins for detection of small-molecule ligands.

Authors:  Gregory J Crowther; Alberto J Napuli; Andrew P Thomas; Diana J Chung; Kuzma V Kovzun; David J Leibly; Lisa J Castaneda; Janhavi Bhandari; Christopher J Damman; Raymond Hui; Wim G J Hol; Frederick S Buckner; Christophe L M J Verlinde; Zhongsheng Zhang; Erkang Fan; Wesley C van Voorhis
Journal:  J Biomol Screen       Date:  2009-05-21

9.  CHROMATOGRAPHIC ANALYSIS OF DRUG INTERACTIONS IN THE SERUM PROTEOME.

Authors:  David S Hage; Jeanethe A Anguizola; Abby J Jackson; Ryan Matsuda; Efthimia Papastavros; Erika Pfaunmiller; Zenghan Tong; John Vargas-Badilla; Michelle J Yoo; Xiwei Zheng
Journal:  Anal Methods       Date:  2011-07-01       Impact factor: 2.896

10.  Rapid LC-MS Based High-Throughput Screening Method, Affording No False Positives or False Negatives, Identifies a New Inhibitor for Carbonic Anhydrase.

Authors:  Kasun P Imaduwage; Jude Lakbub; Eden P Go; Heather Desaire
Journal:  Sci Rep       Date:  2017-09-04       Impact factor: 4.379

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