Literature DB >> 1565624

Kinetics of protein-protein association explained by Brownian dynamics computer simulation.

S H Northrup1, H P Erickson.   

Abstract

Protein-protein bond formations, such as antibody-antigen complexation or aggregation of protein monomers into dimers and larger aggregates, occur with bimolecular rate constants on the order of 10(6) M-1.s-1, which is only 3 orders of magnitude slower than the diffusion-limited Smoluchowski rate. However, since the protein-protein bond requires rotational alignment to within a few angstroms of tolerance, purely geometric estimates would suggest that the observed rates might be 6 orders of magnitude below the Smoluchowski rate. Previous theoretical treatments have not been solved for the highly specific docking criteria of protein-protein association--the entire subunit interface must be aligned within 2 A of the correct position. Several studies have suggested that diffusion alone could not produce the rapid association kinetics and have postulated "lengthy collisions" and/or the operation of electrostatic or hydrophobic steering forces to accelerate the association. In the present study, the Brownian dynamics simulation method is used to compute the rate of association of neutral spherical model proteins with the stated docking criteria. The Brownian simulation predicts a rate of 2 x 10(6) M-1.s-1 for this generic protein-protein association, a rate that is 2000 times faster than that predicted by the simplest geometric calculation and is essentially equal to the rates observed for protein-protein association in aqueous solution. This high rate is obtained by simple diffusive processes and does not require any attractive or steering forces beyond those achieved for a partially formed bond. The rate enhancement is attributed to a diffusive entrapment effect, in which a protein pair surrounded and trapped by water undergoes multiple collisions with rotational reorientation during each encounter.

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Year:  1992        PMID: 1565624      PMCID: PMC48862          DOI: 10.1073/pnas.89.8.3338

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  18 in total

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Journal:  Biochemistry       Date:  1976-03-09       Impact factor: 3.162

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Journal:  Nature       Date:  1975-08-28       Impact factor: 49.962

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Journal:  J Mol Biol       Date:  1989-04-05       Impact factor: 5.469

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Authors:  E S Ward; D Güssow; A D Griffiths; P T Jones; G Winter
Journal:  Nature       Date:  1989-10-12       Impact factor: 49.962

6.  Simulation of the diffusion-controlled reaction between superoxide and superoxide dismutase. II. Detailed models.

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Journal:  Biopolymers       Date:  1988-02       Impact factor: 2.505

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Journal:  Biophys J       Date:  1981-12       Impact factor: 4.033

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Journal:  Biochemistry       Date:  1976-02-10       Impact factor: 3.162

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Authors:  L D Eltis; R G Herbert; P D Barker; A G Mauk; S H Northrup
Journal:  Biochemistry       Date:  1991-04-16       Impact factor: 3.162

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Authors:  S H Northrup; J O Boles; J C Reynolds
Journal:  Science       Date:  1988-07-01       Impact factor: 47.728

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  205 in total

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2.  Dynamical view of the positions of key side chains in protein-protein recognition.

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3.  Effect of anisotropic reactivity on the rate of diffusion-controlled reactions: comparative analysis of the models of patches and hemispheres.

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Journal:  Biophys J       Date:  2001-05       Impact factor: 4.033

4.  Kinetics of desolvation-mediated protein-protein binding.

Authors:  C J Camacho; S R Kimura; C DeLisi; S Vajda
Journal:  Biophys J       Date:  2000-03       Impact factor: 4.033

5.  A relation between the principal axes of inertia and ligand binding.

Authors:  J Foote; A Raman
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-01       Impact factor: 11.205

6.  Kinetics of association of anti-lysozyme monoclonal antibody D44.1 and hen-egg lysozyme.

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Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

7.  Bimolecular reaction simulation using Weighted Ensemble Brownian dynamics and the University of Houston Brownian Dynamics program.

Authors:  A Rojnuckarin; D R Livesay; S Subramaniam
Journal:  Biophys J       Date:  2000-08       Impact factor: 4.033

8.  Binding and diffusion of CheR molecules within a cluster of membrane receptors.

Authors:  Matthew D Levin; Thomas S Shimizu; Dennis Bray
Journal:  Biophys J       Date:  2002-04       Impact factor: 4.033

9.  Estimates of lateral and longitudinal bond energies within the microtubule lattice.

Authors:  Vincent VanBuren; David J Odde; Lynne Cassimeris
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

10.  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

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