title: Coarse-grained model for colloidal protein interactions, B(22), and protein cluster formation.
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.
authors.affiliation: Department of Chemical and Biomolecular Engineering and Center for Molecular and Engineering Thermodynamics, University of Delaware , Newark, Delaware 19176, United States.
authors.forename: Marco A
authors.initials: MA
authors.lastname: Blanco
authors.forename: Erinc
authors.initials: E
authors.lastname: Sahin
authors.forename: Anne S
authors.initials: AS
authors.lastname: Robinson
authors.forename: Christopher J
authors.initials: CJ
authors.lastname: Roberts
mesh_terms: D000595:Amino Acid Sequence; D003102:Colloids / Q000737:chemistry*; D008956:Models, Chemical; D008969:Molecular Sequence Data; D009994:Osmolar Concentration; D025341:Principal Component Analysis; D011506:Proteins / Q000737:chemistry*; D017386:Sequence Homology, Amino Acid; D013816:Thermodynamics
chemical_list: D003102:Colloids; D011506:Proteins