Literature DB >> 24289039

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

Marco A Blanco1, Erinc Sahin, Anne S Robinson, Christopher J Roberts.   

Abstract

Reversible protein cluster formation is an important initial step in the processes of native and non-native protein aggregation, but involves relatively long time and length scales for detailed atomistic simulations and extensive mapping of free energy landscapes. A coarse-grained (CG) model is presented to semiquantitatively characterize the thermodynamics and key configurations involved in the landscape for protein oligomerization, as well as experimental measures of interactions such as the osmotic second virial coefficient (B22). Based on earlier work (Grüenberger et al., J. Phys. Chem. B 2013, 117, 763), this CG model treats proteins as rigid bodies composed of one bead per amino acid, with each amino acid having specific parameters for its size, hydrophobicity, and charge. The net interactions are a combination of steric repulsions, short-range attractions, and screened long-range charge-charge interactions. Model parametrization was done by fitting simulation results against experimental value of B22 as a function of solution ionic strength for α-chymotrypsinogen A and γD-Crystallin (gD-Crys). The CG model is applied to characterize the pairwise interactions and dimerization of gD-Crys and the dependence on temperature, protein concentration, and ionic strength. The results illustrate that at experimentally relevant conditions where stable dimers do not form, the entropic contributions are predominant in the free-energy of protein cluster formation and colloidal protein interactions, arguing against interpretations that treat B22 primarily from energetic considerations alone. Additionally, the results suggest that electrostatic interactions help to modulate the population of the different stable configurations for protein nearest-neighbor pairs, while short-range attractions determine the relative orientations of proteins within these configurations. Finally, simulation results are combined with Principal Component Analysis to identify those amino-acids/surface patches that form interprotein contacts at conditions that favor dimerization of gD-Crys. The resulting regions agree with previously found aggregation-prone sites, as well as suggesting new ones that may be important.

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Year:  2013        PMID: 24289039      PMCID: PMC4108795          DOI: 10.1021/jp409300j

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  71 in total

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2.  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

Review 3.  Colloidal behavior of proteins: effects of the second virial coefficient on solubility, crystallization and aggregation of proteins in aqueous solution.

Authors:  Joseph J Valente; Robert W Payne; Mark Cornell Manning; W William Wilson; Charles S Henry
Journal:  Curr Pharm Biotechnol       Date:  2005-12       Impact factor: 2.837

4.  A natural coarse graining for simulating large biomolecular motion.

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Journal:  Biophys J       Date:  2006-06-30       Impact factor: 4.033

5.  A quasichemical approach for protein-cluster free energies in dilute solution.

Authors:  Teresa M Young; Christopher J Roberts
Journal:  J Chem Phys       Date:  2007-10-28       Impact factor: 3.488

Review 6.  Principles of protein-protein interactions: what are the preferred ways for proteins to interact?

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

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Journal:  J Chem Phys       Date:  2009-09-28       Impact factor: 3.488

8.  Altered phase diagram due to a single point mutation in human gammaD-crystallin.

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9.  AGGRESCAN: a server for the prediction and evaluation of "hot spots" of aggregation in polypeptides.

Authors:  Oscar Conchillo-Solé; Natalia S de Groot; Francesc X Avilés; Josep Vendrell; Xavier Daura; Salvador Ventura
Journal:  BMC Bioinformatics       Date:  2007-02-27       Impact factor: 3.169

10.  Protein-protein interactions in dilute to concentrated solutions: α-chymotrypsinogen in acidic conditions.

Authors:  Marco A Blanco; Tatiana Perevozchikova; Vincenzo Martorana; Mauro Manno; Christopher J Roberts
Journal:  J Phys Chem B       Date:  2014-05-21       Impact factor: 2.991

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  12 in total

1.  Predicting Protein-Protein Interactions of Concentrated Antibody Solutions Using Dilute Solution Data and Coarse-Grained Molecular Models.

Authors:  Cesar Calero-Rubio; Ranendu Ghosh; Atul Saluja; Christopher J Roberts
Journal:  J Pharm Sci       Date:  2017-12-21       Impact factor: 3.534

2.  Communication: Predicting virial coefficients and alchemical transformations by extrapolating Mayer-sampling Monte Carlo simulations.

Authors:  Harold W Hatch; Sally Jiao; Nathan A Mahynski; Marco A Blanco; Vincent K Shen
Journal:  J Chem Phys       Date:  2017-12-21       Impact factor: 3.488

3.  Modulating non-native aggregation and electrostatic protein-protein interactions with computationally designed single-point mutations.

Authors:  C J O'Brien; M A Blanco; J A Costanzo; M Enterline; E J Fernandez; A S Robinson; C J Roberts
Journal:  Protein Eng Des Sel       Date:  2016-05-09       Impact factor: 1.650

4.  Predicting unfolding thermodynamics and stable intermediates for alanine-rich helical peptides with the aid of coarse-grained molecular simulation.

Authors:  Cesar Calero-Rubio; Bradford Paik; Xinqiao Jia; Kristi L Kiick; Christopher J Roberts
Journal:  Biophys Chem       Date:  2016-07-22       Impact factor: 2.352

5.  Biophysical characterization and molecular simulation of electrostatically driven self-association of a single-chain antibody.

Authors:  Christopher J O'Brien; Cesar Calero-Rubio; Vladimir I Razinkov; Anne S Robinson; Christopher J Roberts
Journal:  Protein Sci       Date:  2018-05-03       Impact factor: 6.725

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

Authors:  Marco A Blanco; Vincent K Shen
Journal:  J Chem Phys       Date:  2016-10-21       Impact factor: 3.488

7.  Calculation of Second Virial Coefficients of Atomistic Proteins Using Fast Fourier Transform.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  J Phys Chem B       Date:  2019-09-19       Impact factor: 2.991

8.  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

9.  A New Mixed All-Atom/Coarse-Grained Model: Application to Melittin Aggregation in Aqueous Solution.

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Journal:  J Chem Theory Comput       Date:  2017-07-11       Impact factor: 6.006

10.  Role of anisotropic interactions for proteins and patchy nanoparticles.

Authors:  Christopher J Roberts; Marco A Blanco
Journal:  J Phys Chem B       Date:  2014-10-24       Impact factor: 2.991

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