Literature DB >> 16375727

Colloidal behavior of proteins: effects of the second virial coefficient on solubility, crystallization and aggregation of proteins in aqueous solution.

Joseph J Valente1, Robert W Payne, Mark Cornell Manning, W William Wilson, Charles S Henry.   

Abstract

There has been an increasing awareness that proteins, like other biopolymers, are large enough to exhibit colloidal behavior in aqueous solution. Net attractive or repulsive forces have been found to govern important physical properties, such as solubility and aggregation. The extent of intermolecular interactions, usually expressed in terms of the osmotic second virial coefficient, B, is most often measured using static light scattering. More recently, self-interaction chromatography (SIC) has emerged as a method for rapid determination of B in actual formulations, as it uses much less protein and has higher throughput. This review will summarize the relationship of B to crystallization, solubility, and aggregation of proteins in aqueous solution. Moreover, the capability of SIC to obtain B values in a rapid and reproducible fashion will be described in detail. Finally, the use of miniaturized devices to measure B is presented.

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Year:  2005        PMID: 16375727     DOI: 10.2174/138920105775159313

Source DB:  PubMed          Journal:  Curr Pharm Biotechnol        ISSN: 1389-2010            Impact factor:   2.837


  20 in total

1.  Diffusion and sedimentation interaction parameters for measuring the second virial coefficient and their utility as predictors of protein aggregation.

Authors:  Atul Saluja; R Matthew Fesinmeyer; Sabine Hogan; David N Brems; Yatin R Gokarn
Journal:  Biophys J       Date:  2010-10-20       Impact factor: 4.033

Review 2.  Silk-based stabilization of biomacromolecules.

Authors:  Adrian B Li; Jonathan A Kluge; Nicholas A Guziewicz; Fiorenzo G Omenetto; David L Kaplan
Journal:  J Control Release       Date:  2015-09-25       Impact factor: 9.776

3.  Ultrasonic storage modulus as a novel parameter for analyzing protein-protein interactions in high protein concentration solutions: correlation with static and dynamic light scattering measurements.

Authors:  Atul Saluja; Advait V Badkar; David L Zeng; Sandeep Nema; Devendra S Kalonia
Journal:  Biophys J       Date:  2006-10-06       Impact factor: 4.033

4.  Phase behavior of an intact monoclonal antibody.

Authors:  Tangir Ahamed; Beatriz N A Esteban; Marcel Ottens; Gijs W K van Dedem; Luuk A M van der Wielen; Marc A T Bisschops; Albert Lee; Christine Pham; Jörg Thömmes
Journal:  Biophys J       Date:  2007-04-20       Impact factor: 4.033

5.  High-throughput self-interaction chromatography: applications in protein formulation prediction.

Authors:  David H Johnson; Arun Parupudi; W William Wilson; Lawrence J DeLucas
Journal:  Pharm Res       Date:  2008-10-16       Impact factor: 4.200

Review 6.  High-throughput biophysical analysis of protein therapeutics to examine interrelationships between aggregate formation and conformational stability.

Authors:  Rajoshi Chaudhuri; Yuan Cheng; C Russell Middaugh; David B Volkin
Journal:  AAPS J       Date:  2013-10-31       Impact factor: 4.009

Review 7.  Glycosylation of therapeutic proteins: an effective strategy to optimize efficacy.

Authors:  Ricardo J Solá; Kai Griebenow
Journal:  BioDrugs       Date:  2010-02-01       Impact factor: 5.807

Review 8.  Assessment and significance of protein-protein interactions during development of protein biopharmaceuticals.

Authors:  Sandeep Yadav; Jun Liu; Thomas M Scherer; Yatin Gokarn; Barthélemy Demeule; Sonoko Kanai; James D Andya; Steven J Shire
Journal:  Biophys Rev       Date:  2013-03-14

9.  Coarse-grained model for colloidal protein interactions, B(22), and protein cluster formation.

Authors:  Marco A Blanco; Erinc Sahin; Anne S Robinson; Christopher J Roberts
Journal:  J Phys Chem B       Date:  2013-12-10       Impact factor: 2.991

Review 10.  Effects of glycosylation on the stability of protein pharmaceuticals.

Authors:  Ricardo J Solá; Kai Griebenow
Journal:  J Pharm Sci       Date:  2009-04       Impact factor: 3.534

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