Literature DB >> 23721450

High-resolution MS for structural characterization of protein therapeutics: advances and future directions.

Hui Wei1, Adrienne A Tymiak, Guodong Chen.   

Abstract

High-resolution MS (HRMS) is a central analytical technique for the study of biomolecules and is widely used in the biopharmaceutical industry. This paper reviews recent advances in commonly used HRMS instrumentation and experimental strategies for HRMS-based structural characterization of protein therapeutics. An overview of protein higher order structural characterization using HRMS-based technologies is presented, including the use of hydrogen/deuterium exchange and hydroxyl radical footprinting methods for probing protein conformational dynamics and interactions in solution. Future directions in application of HRMS for characterizing protein therapeutics are also described.

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Year:  2013        PMID: 23721450     DOI: 10.4155/bio.13.80

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  4 in total

1.  Liquid Chromatography-High Resolution Mass Spectrometry for Peptide Drug Quality Control.

Authors:  Kui Zeng; Ilan Geerlof-Vidavisky; Ashley Gucinski; Xiaohui Jiang; Michael T Boyne
Journal:  AAPS J       Date:  2015-02-26       Impact factor: 4.009

Review 2.  Mass spectrometry for the biophysical characterization of therapeutic monoclonal antibodies.

Authors:  Hao Zhang; Weidong Cui; Michael L Gross
Journal:  FEBS Lett       Date:  2013-11-26       Impact factor: 4.124

3.  A rapid and efficient immunoenzymatic assay to detect receptor protein interactions: G protein-coupled receptors.

Authors:  Elisa Zappelli; Simona Daniele; Maria P Abbracchio; Claudia Martini; Maria Letizia Trincavelli
Journal:  Int J Mol Sci       Date:  2014-04-11       Impact factor: 5.923

4.  Detection of Isopeptide Bonds in Monoclonal Antibody Aggregates.

Authors:  Thomas Powell; Michael J Knight; Amanda Wood; John O'Hara; William Burkitt
Journal:  Pharm Res       Date:  2021-09-15       Impact factor: 4.200

  4 in total

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