Literature DB >> 20691138

Rate theories for biologists.

Huan-Xiang Zhou1.   

Abstract

Some of the rate theories that are most useful for modeling biological processes are reviewed. By delving into some of the details and subtleties in the development of the theories, the review will hopefully help the reader gain a more than superficial perspective. Examples are presented to illustrate how rate theories can be used to generate insight at the microscopic level into biomolecular behaviors. An attempt is made to clear up a number of misconceptions in the literature regarding popular rate theories, including the appearance of Planck's constant in the transition-state theory and the Smoluchowski result as an upper limit for protein-protein and protein-DNA association rate constants. Future work in combining the implementation of rate theories through computer simulations with experimental probes of rate processes, and in modeling effects of intracellular environments so that theories can be used for generating rate constants for systems biology studies is particularly exciting.

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Year:  2010        PMID: 20691138      PMCID: PMC3540998          DOI: 10.1017/S0033583510000120

Source DB:  PubMed          Journal:  Q Rev Biophys        ISSN: 0033-5835            Impact factor:   5.318


  166 in total

1.  Protein-protein association: investigation of factors influencing association rates by brownian dynamics simulations.

Authors:  R R Gabdoulline; R C Wade
Journal:  J Mol Biol       Date:  2001-03-09       Impact factor: 5.469

2.  Protein folding and binding in confined spaces and in crowded solutions.

Authors:  Huan-Xiang Zhou
Journal:  J Mol Recognit       Date:  2004 Sep-Oct       Impact factor: 2.137

3.  Transition state and encounter complex for fast association of cytochrome c2 with bacterial reaction center.

Authors:  Osamu Miyashita; José N Onuchic; Melvin Y Okamura
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-01       Impact factor: 11.205

4.  Theory, analysis, and interpretation of single-molecule force spectroscopy experiments.

Authors:  Olga K Dudko; Gerhard Hummer; Attila Szabo
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-13       Impact factor: 11.205

5.  The one-dimensional diffusion coefficient of proteins absorbed on DNA. Hydrodynamic considerations.

Authors:  J M Schurr
Journal:  Biophys Chem       Date:  1979-05       Impact factor: 2.352

6.  Rate enhancement by guided diffusion. Chain length dependence of repressor-operator association rates.

Authors:  R Schranner; P H Richter
Journal:  Biophys Chem       Date:  1978-05       Impact factor: 2.352

7.  An electrostatic steering mechanism of Cdc42 recognition by Wiskott-Aldrich syndrome proteins.

Authors:  Lars Hemsath; Radovan Dvorsky; Dennis Fiegen; Marie-France Carlier; Mohammad Reza Ahmadian
Journal:  Mol Cell       Date:  2005-10-28       Impact factor: 17.970

8.  Separating the contribution of translational and rotational diffusion to protein association.

Authors:  Yosef Yehuda Kuttner; Noga Kozer; Eugenia Segal; Gideon Schreiber; Gilad Haran
Journal:  J Am Chem Soc       Date:  2005-11-02       Impact factor: 15.419

9.  15N NMR spin relaxation dispersion study of the molecular crowding effects on protein folding under native conditions.

Authors:  Xuanjun Ai; Zheng Zhou; Yawen Bai; Wing-Yiu Choy
Journal:  J Am Chem Soc       Date:  2006-03-29       Impact factor: 15.419

Review 10.  Fundamental aspects of protein-protein association kinetics.

Authors:  G Schreiber; G Haran; H-X Zhou
Journal:  Chem Rev       Date:  2009-03-11       Impact factor: 60.622

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  43 in total

1.  Theory and simulation of diffusion-influenced, stochastically gated ligand binding to buried sites.

Authors:  Jorge L Barreda; Huan-Xiang Zhou
Journal:  J Chem Phys       Date:  2011-10-14       Impact factor: 3.488

2.  Entropic origin of Mg2+-facilitated RNA folding.

Authors:  Julie L Fiore; Erik D Holmstrom; David J Nesbitt
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-01       Impact factor: 11.205

3.  A positive cooperativity binding model between Ly49 natural killer cell receptors and the viral immunoevasin m157: kinetic and thermodynamic studies.

Authors:  Pablo N Romasanta; Lucrecia M Curto; Nicolas Urtasun; María B Sarratea; Santiago Chiappini; María V Miranda; José M Delfino; Roy A Mariuzza; Marisa M Fernández; Emilio L Malchiodi
Journal:  J Biol Chem       Date:  2013-12-30       Impact factor: 5.157

Review 4.  Modeling protein association mechanisms and kinetics.

Authors:  Huan-Xiang Zhou; Paul A Bates
Journal:  Curr Opin Struct Biol       Date:  2013-07-12       Impact factor: 6.809

5.  Rationalizing 5000-fold differences in receptor-binding rate constants of four cytokines.

Authors:  Xiaodong Pang; Sanbo Qin; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2011-09-07       Impact factor: 4.033

6.  Theory and simulation on the kinetics of protein-ligand binding coupled to conformational change.

Authors:  Lu Cai; Huan-Xiang Zhou
Journal:  J Chem Phys       Date:  2011-03-14       Impact factor: 3.488

7.  A theory for the proton transport of the influenza virus M2 protein: extensive test against conductance data.

Authors:  Huan-Xiang Zhou
Journal:  Biophys J       Date:  2011-02-16       Impact factor: 4.033

8.  Multidimensional reaction rate theory with anisotropic diffusion.

Authors:  Alexander M Berezhkovskii; Attila Szabo; Nicholas Greives; Huan-Xiang Zhou
Journal:  J Chem Phys       Date:  2014-11-28       Impact factor: 3.488

9.  A method for computing association rate constants of atomistically represented proteins under macromolecular crowding.

Authors:  Sanbo Qin; Lu Cai; Huan-Xiang Zhou
Journal:  Phys Biol       Date:  2012-11-29       Impact factor: 2.583

10.  Simulation and Modeling of Crowding Effects on the Thermodynamic and Kinetic Properties of Proteins with Atomic Details.

Authors:  Huan-Xiang Zhou; Sanbo Qin
Journal:  Biophys Rev       Date:  2013-06-01
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