Validation of fractal-like kinetic models by time-resolved binding kinetics of dansylamide and carbonic anhydrase in crowded media.

Kinetic studies of biochemical reactions are typically carried out in a dilute solution that rarely contains anything more than reactants, products, and buffers. In such studies, mass-action-based kinetic models are used to analyze the progress curves. However, intracellular compartments are crowded by macromolecules. Therefore, we investigated the adequacy of the proposed generalizations of the mass-action model, which are meant to describe reactions in crowded media. To validate these models, we measured time-resolved kinetics for dansylamide binding to carbonic anhydrase in solutions crowded with polyethylene glycol and Ficoll. The measured progress curves clearly show the effects of crowding. The fractal-like model proposed by Savageau was used to fit these curves. In this model, the association rate coefficient k(a) allometrically depends on concentrations of reactants. We also considered the fractal kinetic model proposed by Schnell and Turner, in which k(a) depends on time according to a Zipf-Mandelbrot distribution, and some generalizations of these models. We found that the generalization of the mass-action model, in which association and dissociation rate coefficients are concentration-dependent, represents the preferred model. Other models based on time-dependent rate coefficients were inadequate or not preferred by model selection criteria.

[1]  A. Minton,et al.  Macromolecular crowding: biochemical, biophysical, and physiological consequences. , 1993, Annual review of biophysics and biomolecular structure.

[2]  P. M. Richards,et al.  Reversible trapping on a cubic lattice: Comparison of theory and simulations , 1991 .

[3]  Gideon Schreiber,et al.  Common crowding agents have only a small effect on protein-protein interactions. , 2009, Biophysical journal.

[4]  Kevin Burrage,et al.  Stochastic approaches for modelling in vivo reactions , 2004, Comput. Biol. Chem..

[5]  Gideon Schreiber,et al.  Protein-protein association in polymer solutions: from dilute to semidilute to concentrated. , 2007, Biophysical journal.

[6]  T. Vicsek Fractal Growth Phenomena , 1989 .

[7]  L. Tibell,et al.  Kinetics and Mechanism of Carbonic Anhydrase Isoenzymes a , 1984, Annals of the New York Academy of Sciences.

[8]  F. G. Prendergast,et al.  Complex homogeneous and heterogeneous fluorescence anisotropy decays: enhancing analysis accuracy. , 2001, Biophysical journal.

[9]  M A Savageau,et al.  Accuracy of alternative representations for integrated biochemical systems. , 1987, Biochemistry.

[10]  Raoul Kopelman,et al.  Fractal reaction kinetics: exciton fusion on clusters , 1983 .

[11]  H. Edelhoch,et al.  Spectroscopic determination of tryptophan and tyrosine in proteins. , 1967, Biochemistry.

[12]  M A Savageau,et al.  Influence of fractal kinetics on molecular recognition , 1993, Journal of molecular recognition : JMR.

[13]  P. R. Bevington,et al.  Data Reduction and Error Analysis for the Physical Sciences , 1969 .

[14]  A. Minton Excluded volume as a determinant of macromolecular structure and reactivity , 1981 .

[15]  A. Verkman,et al.  Crowding effects on diffusion in solutions and cells. , 2008, Annual review of biophysics.

[16]  Kevin L. Neff,et al.  Reaction kinetics in intracellular environments: The two proposed models yield qualitatively different predictions , 2006 .

[17]  S. Schnell,et al.  A systematic investigation of the rate laws valid in intracellular environments. , 2006, Biophysical chemistry.

[18]  G. Weber Polarization of the fluorescence of macromolecules. I. Theory and experimental method. , 1952, The Biochemical journal.

[19]  Takanori Ueda,et al.  An Integrated Comprehensive Workbench for Inferring Genetic Networks: voyagene , 2004, J. Bioinform. Comput. Biol..

[20]  C. Pace,et al.  How to measure and predict the molar absorption coefficient of a protein , 1995, Protein science : a publication of the Protein Society.

[21]  Hugues Berry,et al.  Monte carlo simulations of enzyme reactions in two dimensions: fractal kinetics and spatial segregation. , 2002, Biophysical journal.

[22]  Eberhard O. Voit,et al.  Computational Analysis of Biochemical Systems: A Practical Guide for Biochemists and Molecular Biologists , 2000 .

[23]  Marie Davidian,et al.  The Nonlinear Mixed Effects Model with a Smooth Random Effects Density , 1993 .

[24]  Huan‐Xiang Zhou,et al.  Macromolecular crowding and confinement: biochemical, biophysical, and potential physiological consequences. , 2008, Annual review of biophysics.

[25]  S. Schnell,et al.  Reaction kinetics in intracellular environments with macromolecular crowding: simulations and rate laws. , 2004, Progress in biophysics and molecular biology.

[26]  H. Li,et al.  Fractal mechanisms for the allosteric effects of proteins and enzymes. , 1990, Biophysical journal.

[27]  R. Swaminathan,et al.  Effect of crowding by dextrans and Ficolls on the rate of alkaline phosphatase-catalyzed hydrolysis: a size-dependent investigation. , 2006, Biopolymers.

[28]  Eberhard O Voit,et al.  Biochemical and genomic regulation of the trehalose cycle in yeast: review of observations and canonical model analysis. , 2003, Journal of theoretical biology.

[29]  A. Szabó Theoretical approaches to reversible diffusion‐influenced reactions: Monomer–excimer kinetics , 1991 .

[30]  Damien Hall,et al.  Macromolecular crowding: qualitative and semiquantitative successes, quantitative challenges. , 2003, Biochimica et biophysica acta.

[31]  Harel Weinstein,et al.  Toward realistic modeling of dynamic processes in cell signaling: quantification of macromolecular crowding effects. , 2007, The Journal of chemical physics.

[32]  A. Minton,et al.  The Influence of Macromolecular Crowding and Macromolecular Confinement on Biochemical Reactions in Physiological Media* , 2001, The Journal of Biological Chemistry.

[33]  S. Santra,et al.  Effect of macromolecular crowding on the rate of diffusion-limited enzymatic reaction , 2008, 0807.3068.

[34]  A. Burgen,et al.  Kinetics of complex formation between human carbonic anhydrases and aromatic sulfonamides. , 1970, Biochemistry.

[35]  Chetan Offord,et al.  A Hybrid Global Optimization Algorithm Involving Simplex and Inductive Search , 2001, International Conference on Computational Science.

[36]  S. Zwanzig The choice of approximative models in nonlinear regression , 1980 .

[37]  D. Bray,et al.  Stochastic simulation of chemical reactions with spatial resolution and single molecule detail , 2004, Physical biology.

[38]  H. Holzhütter,et al.  A new method to discriminate between enzyme-kinetic models , 1990 .

[39]  Adrian H Elcock,et al.  Models of macromolecular crowding effects and the need for quantitative comparisons with experiment. , 2010, Current opinion in structural biology.

[40]  G. Weber Polarization of the fluorescence of macromolecules. II. Fluorescent conjugates of ovalbumin and bovine serum albumin. , 1952, The Biochemical journal.

[41]  M. Savageau Michaelis-Menten mechanism reconsidered: implications of fractal kinetics. , 1995, Journal of theoretical biology.

[42]  Rebecca L Rich,et al.  Direct comparison of binding equilibrium, thermodynamic, and rate constants determined by surface‐ and solution‐based biophysical methods , 2002, Protein science : a publication of the Protein Society.

[43]  M. Savageau Biochemical systems analysis. III. Dynamic solutions using a power-law approximation , 1970 .

[44]  Miljenko Huzak,et al.  Mathematical analysis of models for reaction kinetics in intracellular environments. , 2008, Mathematical biosciences.

[45]  J. Goutsias Classical versus stochastic kinetics modeling of biochemical reaction systems. , 2007, Biophysical journal.

[46]  William H. Press,et al.  Numerical recipes , 1990 .

[47]  Raoul Kopelman,et al.  Rate processes on fractals: Theory, simulations, and experiments , 1986 .

[48]  Raoul Kopelman,et al.  Fractal Reaction Kinetics , 1988, Science.

[49]  D. Hewett‐Emmett,et al.  Biology and chemistry of the carbonic anhydrases. , 1984, Annals of the New York Academy of Sciences.

[50]  Ramon Grima,et al.  A Mesoscopic Simulation Approach for Modeling Intracellular Reactions , 2007 .

[51]  Alejandro Muñoz-Diosdado,et al.  Multifractality in intracellular enzymatic reactions. , 2006, Journal of theoretical biology.

[52]  Raoul Kopelman,et al.  Fractal chemical kinetics: Simulations and experiments , 1984 .

[53]  M. Savageau Development of fractal kinetic theory for enzyme-catalysed reactions and implications for the design of biochemical pathways. , 1998, Bio Systems.