Literature DB >> 17142273

Energy landscape and transition state of protein-protein association.

Ramzi Alsallaq1, Huan-Xiang Zhou.   

Abstract

Formation of a stereospecific protein complex is favored by specific interactions between two proteins but disfavored by the loss of translational and rotational freedom. Echoing the protein folding process, we have previously proposed a transition state for protein-protein association. Here we clarify the specification of the transition state by working with two types of toy models for protein association. A "hemisphere" model consists of two matching hemispheres as associating proteins, and a "crater" model consists of a spherical protein with a crater to which another spherical protein fits snugly. Short-range pairwise interactions between sites across the interface hold together the bound complex. Small relative translation and rotation between the subunits quickly destroy the interactions, leading to a sharp transition between the bound state with numerous short-range interactions but restricted translation and rotational freedom and the unbound state with, at most, a small number of interactions but expanded configurational freedom. This transition sets the outer boundary of the bound state as well as the transition state for association. The energy landscape is funnel-like, with the deep well of the bound state surrounded by a broad shallow basin. Calculations with the toy models suggest that mutational change in the interaction energy in the x-ray structure of a protein-protein complex, commonly used to approximate the effect on the association constant, overestimates the effect of mutation by 10-20%. With an eye toward specifying the transition states of actual protein complexes, we find that the total number of contacts between the subunits serves as a good surrogate of the interaction energy. This formalism of protein-protein association is applied to the barnase-barstar complex, reproducing the experimental results for the association rate over a wide range of ionic strength.

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Year:  2006        PMID: 17142273      PMCID: PMC1796829          DOI: 10.1529/biophysj.106.096024

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  35 in total

1.  Experimental assignment of the structure of the transition state for the association of barnase and barstar.

Authors:  C Frisch; A R Fersht; G Schreiber
Journal:  J Mol Biol       Date:  2001-04-20       Impact factor: 5.469

2.  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

3.  Speeding molecular recognition by using the folding funnel: the fly-casting mechanism.

Authors:  B A Shoemaker; J J Portman; P G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-01       Impact factor: 11.205

4.  Protein docking along smooth association pathways.

Authors:  C J Camacho; S Vajda
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-21       Impact factor: 11.205

5.  Disparate ionic-strength dependencies of on and off rates in protein-protein association.

Authors:  H X Zhou
Journal:  Biopolymers       Date:  2001-11       Impact factor: 2.505

6.  Association entropy in adsorption processes.

Authors:  N Ben-Tal; B Honig; C K Bagdassarian; A Ben-Shaul
Journal:  Biophys J       Date:  2000-09       Impact factor: 4.033

7.  Revisiting free energy calculations: a theoretical connection to MM/PBSA and direct calculation of the association free energy.

Authors:  Jessica M J Swanson; Richard H Henchman; J Andrew McCammon
Journal:  Biophys J       Date:  2004-01       Impact factor: 4.033

8.  Comparison of calculation and experiment implicates significant electrostatic contributions to the binding stability of barnase and barstar.

Authors:  Feng Dong; M Vijayakumar; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2003-07       Impact factor: 4.033

9.  On the calculation of absolute macromolecular binding free energies.

Authors:  Hengbin Luo; Kim Sharp
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-29       Impact factor: 11.205

10.  Polymer models of protein stability, folding, and interactions.

Authors:  Huan-Xiang Zhou
Journal:  Biochemistry       Date:  2004-03-02       Impact factor: 3.162

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  27 in total

1.  Coarse-grained models for simulations of multiprotein complexes: application to ubiquitin binding.

Authors:  Young C Kim; Gerhard Hummer
Journal:  J Mol Biol       Date:  2007-11-28       Impact factor: 5.469

2.  Electrostatic rate enhancement and transient complex of protein-protein association.

Authors:  Ramzi Alsallaq; Huan-Xiang Zhou
Journal:  Proteins       Date:  2008-04

3.  Prediction of salt and mutational effects on the association rate of U1A protein and U1 small nuclear RNA stem/loop II.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  J Phys Chem B       Date:  2007-12-22       Impact factor: 2.991

4.  Fruitful and futile encounters along the association reaction between proteins.

Authors:  Michal Harel; Alexander Spaar; Gideon Schreiber
Journal:  Biophys J       Date:  2009-05-20       Impact factor: 4.033

5.  Dissection of the high rate constant for the binding of a ribotoxin to the ribosome.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-03       Impact factor: 11.205

6.  Brownian dynamics and molecular dynamics study of the association between hydrogenase and ferredoxin from Chlamydomonas reinhardtii.

Authors:  Hai Long; Christopher H Chang; Paul W King; Maria L Ghirardi; Kwiseon Kim
Journal:  Biophys J       Date:  2008-07-11       Impact factor: 4.033

7.  Replica exchange simulations of transient encounter complexes in protein-protein association.

Authors:  Young C Kim; Chun Tang; G Marius Clore; Gerhard Hummer
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-26       Impact factor: 11.205

Review 8.  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

9.  Atomistic modeling of macromolecular crowding predicts modest increases in protein folding and binding stability.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2009-07-08       Impact factor: 4.033

Review 10.  Macromolecular crowding and confinement: biochemical, biophysical, and potential physiological consequences.

Authors:  Huan-Xiang Zhou; Germán Rivas; Allen P Minton
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

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