Abstract:Detailed modeling of the free solution electrophoresis of five proteins (bovine R-lactalbumin, hen egg white lysozyme, bovine superoxide dismutase, human carbonic anhydrase II, and hen ovalbumin) is carried out within the framework of the continuum primitive model. Protein crystal structures and translational diffusion constants are used to design and parametrize the models. The modeling results are compared with experimental mobilities of protein charge ladders, collections of protein derivatives where the nu… Show more
“…ζ (r), the direction of molecular dipole moment vectors relative to the protein surface normal, was computed for each water molecule at each frame of the simulation trajectory using Equation 4, (4) where n (r) is the biomolecular surface normal vector computed by finding the nearest protein atom to each grid point. This quantity still left some ambiguity in the orientations of water molecules; for instance, ζ (r) = 0 could mean that, on average, water molecules at point r pointed one hydrogen toward the protein and pointed the other away, or it could mean that water molecules at r pointed both hydrogens parallel to the protein surface.…”
Section: Additional Spatial Properties Of the Explicit Solventmentioning
confidence: 99%
“…The electrostatic properties of solvated biomolecules are a subject of intense computational [1][2][3] as well as experimental interest [4][5][6][7]. The polar nature of water molecules influences the structure of proteins, nucleic acids, and lipid membranes.…”
The solvent reaction field potential of an uncharged protein immersed in Simple Point Charge/ Extended (SPC/E) explicit solvent was computed over a series of molecular dynamics trajectories, intotal 1560 ns of simulation time. A finite, positive potential of 13 to 24 k b Te c −1 (where T = 300K), dependent on the geometry of the solvent-accessible surface, was observed inside the biomolecule. The primary contribution to this potential arose from a layer of positive charge density 1.0 Å from the solute surface, on average 0.008 e c /Å 3 , which we found to be the product of a highly ordered first solvation shell. Significant second solvation shell effects, including additional layers of charge density and a slight decrease in the short-range solvent-solvent interaction strength, were also observed. The impact of these findings on implicit solvent models was assessed by running similar explicit-solvent simulations on the fully charged protein system. When the energy due to the solvent reaction field in the uncharged system is accounted for, correlation between per-atom electrostatic energies for the explicit solvent model and a simple implicit (Poisson) calculation is 0.97, and correlation between per-atom energies for the explicit solvent model and a previously published, optimized Poisson model is 0.99.
“…ζ (r), the direction of molecular dipole moment vectors relative to the protein surface normal, was computed for each water molecule at each frame of the simulation trajectory using Equation 4, (4) where n (r) is the biomolecular surface normal vector computed by finding the nearest protein atom to each grid point. This quantity still left some ambiguity in the orientations of water molecules; for instance, ζ (r) = 0 could mean that, on average, water molecules at point r pointed one hydrogen toward the protein and pointed the other away, or it could mean that water molecules at r pointed both hydrogens parallel to the protein surface.…”
Section: Additional Spatial Properties Of the Explicit Solventmentioning
confidence: 99%
“…The electrostatic properties of solvated biomolecules are a subject of intense computational [1][2][3] as well as experimental interest [4][5][6][7]. The polar nature of water molecules influences the structure of proteins, nucleic acids, and lipid membranes.…”
The solvent reaction field potential of an uncharged protein immersed in Simple Point Charge/ Extended (SPC/E) explicit solvent was computed over a series of molecular dynamics trajectories, intotal 1560 ns of simulation time. A finite, positive potential of 13 to 24 k b Te c −1 (where T = 300K), dependent on the geometry of the solvent-accessible surface, was observed inside the biomolecule. The primary contribution to this potential arose from a layer of positive charge density 1.0 Å from the solute surface, on average 0.008 e c /Å 3 , which we found to be the product of a highly ordered first solvation shell. Significant second solvation shell effects, including additional layers of charge density and a slight decrease in the short-range solvent-solvent interaction strength, were also observed. The impact of these findings on implicit solvent models was assessed by running similar explicit-solvent simulations on the fully charged protein system. When the energy due to the solvent reaction field in the uncharged system is accounted for, correlation between per-atom electrostatic energies for the explicit solvent model and a simple implicit (Poisson) calculation is 0.97, and correlation between per-atom energies for the explicit solvent model and a previously published, optimized Poisson model is 0.99.
“…Significant applications include separation of short peptides [6][7][8][9][10][11][12], organic anions [13,14], proteins, and protein ''charge ladders'' [15][16][17], stereoisomers [18], and also the study of complex formation [12,[19][20][21]. There are a number of factors that influence the effectiveness of separating species in a particular system and these include the solvent, composition of BGE, temperature, pH, sample concentration, nature of the capillary (its diameter, whether it is ''coated'', etc.…”
The ionic strength dependence of the electrophoretic mobility of small organic anions with valencies up to -3 is investigated in this study. Provided the anions are not too aspherical, it is argued that shape and charge distribution have little influence on mobility. To a good approximation, the electrophoretic mobility of a small particle should be equal to that of a model sphere with the same hydrodynamic radius and same net charge. For small ions, the relaxation effect (distortion of the ion atmosphere from equilibrium due to external electric and flow fields) is significant even for monovalent ions. Alternative procedures of accounting for the relaxation effect are examined. In order to account for the ionic strength dependence of a specific set of nonaromatic and aromatic anions in aqueous solution, it is necessary to include complex formation between the anion with species in the BGE. A number of possible complexes are considered. When the BGE is Tris-acetate, the most important of these involves the complex formed between anion and Tris, the principle cation in the BGE. When the BGE is sodium borate, an anion-anion (borate) complex appears to be important, at least when the organic anion is monovalent. An algorithm is developed to analyze the ionic strength dependence of the electrophoretic mobility. This algorithm is applied to two sets of organic anions from two independent research groups.
“…Combination of the Offord model with a corrected steric substituent constant and molar refractivity descriptors improved, however, the predictivity of the model, especially for peptides containing basic amino acids [9]. Similarly, CZE of five model proteins resulted in the conclusion that a primitive continuum model is appropriate for predicting mobilities of proteins [10].…”
Section: Modeling Electrophoretic Migration Of Proteinsmentioning
This review article with 304 references describes recent developments in CE of proteins, and covers the two years since the previous review (Hutterer, K., Dolník, V., Electrophoresis 2003, 24, 3998-4012) through Spring 2005. It covers topics related to CE of proteins, including modeling of the electrophoretic migration of proteins, sample pretreatment, wall coatings, improving separation, various forms of detection, special electrophoretic techniques such as affinity CE, CIEF, and applications of CE to the analysis of proteins in real-world samples including human body fluids, food and agricultural samples, protein pharmaceuticals, and recombinant protein preparations.
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