Literature DB >> 11170497

Correlation between the osmotic second virial coefficient and the solubility of proteins.

S Ruppert1, S I Sandler, A M Lenhoff.   

Abstract

A correlation between the osmotic second virial coefficient and the solubility of proteins is derived from classical thermodynamics to support an empirical relation previously found by Wilson and co-workers (1). The model is based on the equality of fugacities of the protein in the equilibrium phases, with the details of the model depending on the standard state used. The parameters in this model have been fitted to data for several systems, mainly with lysozyme as the protein. The model is found to describe experimental data, with variations in protein concentration, salt type and concentration, temperature, and pH, both qualitatively and quantitatively. Agreement between the model and the experimental data is very good for protein solubilities up to 30 mg/mL. Above this value the model underpredicts the experimental data, probably as a result of multibody interactions that are not included in the model here. Variations of the model parameters with protein type, temperature, pH, and salt type are discussed.

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Year:  2001        PMID: 11170497     DOI: 10.1021/bp0001314

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  20 in total

1.  The likelihood of aggregation during protein renaturation can be assessed using the second virial coefficient.

Authors:  Jason G S Ho; Anton P J Middelberg; Paul Ramage; Hans P Kocher
Journal:  Protein Sci       Date:  2003-04       Impact factor: 6.725

2.  Second virial coefficient studies of cosolvent-induced protein self-interaction.

Authors:  Joseph J Valente; Kusum S Verma; Mark Cornell Manning; W William Wilson; Charles S Henry
Journal:  Biophys J       Date:  2005-09-30       Impact factor: 4.033

3.  Coarse-grained strategy for modeling protein stability in concentrated solutions.

Authors:  Jason K Cheung; Thomas M Truskett
Journal:  Biophys J       Date:  2005-07-22       Impact factor: 4.033

4.  Coarse-grained models for simulations of multiprotein complexes: application to ubiquitin binding.

Authors:  Young C Kim; Gerhard Hummer
Journal:  J Mol Biol       Date:  2007-11-28       Impact factor: 5.469

5.  Second International Conference on Accelerating Biopharmaceutical Development: March 9-12, 2009, Coronado, CA USA.

Authors:  Janice M Reichert; Nitya Jacob; Ashraf Amanullah
Journal:  MAbs       Date:  2009-05-20       Impact factor: 5.857

6.  Explicit-water theory for the salt-specific effects and Hofmeister series in protein solutions.

Authors:  Yuriy V Kalyuzhnyi; Vojko Vlachy
Journal:  J Chem Phys       Date:  2016-06-07       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.  Protein aggregation in salt solutions.

Authors:  Miha Kastelic; Yurij V Kalyuzhnyi; Barbara Hribar-Lee; Ken A Dill; Vojko Vlachy
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-11       Impact factor: 11.205

Review 9.  Structure, heterogeneity and developability assessment of therapeutic antibodies.

Authors:  Yingda Xu; Dongdong Wang; Bruce Mason; Tony Rossomando; Ning Li; Dingjiang Liu; Jason K Cheung; Wei Xu; Smita Raghava; Amit Katiyar; Christine Nowak; Tao Xiang; Diane D Dong; Joanne Sun; Alain Beck; Hongcheng Liu
Journal:  MAbs       Date:  2018-12-17       Impact factor: 5.857

10.  Challenges in Predicting Protein-Protein Interactions from Measurements of Molecular Diffusivity.

Authors:  Lea L Sorret; Madison A DeWinter; Daniel K Schwartz; Theodore W Randolph
Journal:  Biophys J       Date:  2016-11-01       Impact factor: 4.033

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