Literature DB >> 18683878

Principles, approaches, and challenges for predicting protein aggregation rates and shelf life.

William F Weiss1, Teresa M Young, Christopher J Roberts.   

Abstract

Control and prevention of unwanted aggregation for therapeutic proteins is a ubiquitous hurdle during biopharmaceutical product manufacture, storage, shipping, and administration. Methods to predict the relative or absolute rates of aggregation are therefore of great practical interest in biopharmaceutical research and development. Aggregation is often well-described as a multi-stage process involving unfolding or misfolding of free monomers, along with one or more assembly steps to form soluble or insoluble oligomers or higher-molecular-weight species. This report reviews the current state of the art in experimental and practical theoretical approaches that attempt to predict in vitro protein aggregation rates or propensities relevant to pharmaceutical proteins. Most available approaches fall within four primary categories. The principles and assumptions underlying each category are reviewed, along with advantages and limitations in each case. The importance of appropriate experimental techniques and models to probe and quantify the thermodynamics and/or dynamics of multiple steps or stages within the overall aggregation process is stressed. The primary focus is on aggregation in solution, relevant to parenteral dosage forms. Additional challenges are briefly reviewed.

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Year:  2009        PMID: 18683878     DOI: 10.1002/jps.21521

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  61 in total

1.  High-throughput analysis of concentration-dependent antibody self-association.

Authors:  Shantanu V Sule; Muppalla Sukumar; William F Weiss; Anna Marie Marcelino-Cruz; Tyler Sample; Peter M Tessier
Journal:  Biophys J       Date:  2011-10-05       Impact factor: 4.033

2.  The use of native cation-exchange chromatography to study aggregation and phase separation of monoclonal antibodies.

Authors:  Shuang Chen; Hollis Lau; Yan Brodsky; Gerd R Kleemann; Ramil F Latypov
Journal:  Protein Sci       Date:  2010-06       Impact factor: 6.725

3.  Weak protein interactions and pH- and temperature-dependent aggregation of human Fc1.

Authors:  Haixia Wu; Kristopher Truncali; Julie Ritchie; Rachel Kroe-Barrett; Sanjaya Singh; Anne S Robinson; Christopher J Roberts
Journal:  MAbs       Date:  2015-08-12       Impact factor: 5.857

4.  Intrinsic fibrillation of fast-acting insulin analogs.

Authors:  R Jeremy Woods; Javier Alarcón; Elaine McVey; Ronald J Pettis
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

5.  Aggregates of α-chymotrypsinogen anneal to access more stable states.

Authors:  Ronald W Maurer; Alan K Hunter; Anne S Robinson; Christopher J Roberts
Journal:  Biotechnol Bioeng       Date:  2013-11-18       Impact factor: 4.530

6.  Structure and thermodynamics of colloidal protein cluster formation: comparison of square-well and simple dipolar models.

Authors:  Teresa M Young; Christopher J Roberts
Journal:  J Chem Phys       Date:  2009-09-28       Impact factor: 3.488

7.  Reexamining protein-protein and protein-solvent interactions from Kirkwood-Buff analysis of light scattering in multi-component solutions.

Authors:  Marco A Blanco; Erinc Sahin; Yi Li; Christopher J Roberts
Journal:  J Chem Phys       Date:  2011-06-14       Impact factor: 3.488

8.  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

9.  Influence of the valine zipper region on the structure and aggregation of the basic leucine zipper (bZIP) domain of activating transcription factor 5 (ATF5).

Authors:  Natalie A Ciaccio; T Steele Reynolds; C Russell Middaugh; Jennifer S Laurence
Journal:  Mol Pharm       Date:  2012-10-23       Impact factor: 4.939

Review 10.  Non-Arrhenius protein aggregation.

Authors:  Wei Wang; Christopher J Roberts
Journal:  AAPS J       Date:  2013-04-25       Impact factor: 4.009

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