Literature DB >> 27782465

Effect of the surface charge distribution on the fluid phase behavior of charged colloids and proteins.

Marco A Blanco1, Vincent K Shen1.   

Abstract

A generic but simple model is presented to evaluate the effect of the heterogeneous surface charge distribution of proteins and zwitterionic nanoparticles on their thermodynamic phase behavior. By considering surface charges as continuous "patches," the rich set of surface patterns that is embedded in proteins and charged patchy particles can readily be described. This model is used to study the fluid phase separation of charged particles where the screening length is of the same order of magnitude as the particle size. In particular, two types of charged particles are studied: dipolar fluids and protein-like fluids. The former represents the simplest case of zwitterionic particles, whose charge distribution can be described by their dipole moment. The latter system corresponds to molecules/particles with complex surface charge arrangements such as those found in biomolecules. The results for both systems suggest a relation between the critical region, the strength of the interparticle interactions, and the arrangement of charged patches, where the critical temperature is strongly correlated to the magnitude of the dipole moment. Additionally, competition between attractive and repulsive charge-charge interactions seems to be related to the formation of fluctuating clusters in the dilute phase of dipolar fluids, as well as to the broadening of the binodal curve in protein-like fluids. Finally, a variety of self-assembled architectures are detected for dipolar fluids upon small changes to the charge distribution, providing the groundwork for studying the self-assembly of charged patchy particles.

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Year:  2016        PMID: 27782465      PMCID: PMC5158025          DOI: 10.1063/1.4964613

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  83 in total

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5.  Protein-protein interactions in concentrated electrolyte solutions.

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Journal:  Biotechnol Bioeng       Date:  2002-08-20       Impact factor: 4.530

6.  Mayer sampling: calculation of cluster integrals using free-energy perturbation methods.

Authors:  Jayant K Singh; David A Kofke
Journal:  Phys Rev Lett       Date:  2004-06-02       Impact factor: 9.161

7.  Predicting protein crystallization from a dilute solution property.

Authors:  A George; W W Wilson
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  1994-07-01

8.  Protein crystallization and phase diagrams.

Authors:  Neer Asherie
Journal:  Methods       Date:  2004-11       Impact factor: 3.608

9.  Equilibrium cluster formation in concentrated protein solutions and colloids.

Authors:  Anna Stradner; Helen Sedgwick; Frédéric Cardinaux; Wilson C K Poon; Stefan U Egelhaaf; Peter Schurtenberger
Journal:  Nature       Date:  2004-11-25       Impact factor: 49.962

10.  Oligomerization and phase transitions in aqueous solutions of native and truncated human beta B1-crystallin.

Authors:  Onofrio Annunziata; Ajay Pande; Jayanti Pande; Olutayo Ogun; Nicolette H Lubsen; George B Benedek
Journal:  Biochemistry       Date:  2005-02-01       Impact factor: 3.162

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  3 in total

1.  Evaluating the Effects of Hinge Flexibility on the Solution Structure of Antibodies at Concentrated Conditions.

Authors:  Marco A Blanco; Harold W Hatch; Joseph E Curtis; Vincent K Shen
Journal:  J Pharm Sci       Date:  2018-12-26       Impact factor: 3.534

2.  Predicting structural properties of fluids by thermodynamic extrapolation.

Authors:  Nathan A Mahynski; Sally Jiao; Harold W Hatch; Marco A Blanco; Vincent K Shen
Journal:  J Chem Phys       Date:  2018-05-21       Impact factor: 3.488

Review 3.  Computational models for studying physical instabilities in high concentration biotherapeutic formulations.

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Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 5.857

  3 in total

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