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A docking analysis of the statistical physics of protein–protein recognition

Julie Bernauer1, Anne Poupon1, Jérôme Azé2 and Joël Janin3

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We describe protein–protein recognition within the frame of the random energy model of statistical physics. We simulate, by docking the component proteins, the process of association of two proteins that form a complex. We obtain the energy spectrum of a set of protein–protein complexes of known three-dimensional structure by performing docking in random orientations and scoring the models thus generated. We use a coarse protein representation where each amino acid residue is replaced by its Voronoï cell, and derive a scoring function by applying the evolutionary learning program ROGER to a set of parameters measured on that representation. Taking the scores of the docking models to be interaction energies, we obtain energy spectra for the complexes and fit them to a Gaussian distribution, from which we derive physical parameters such as a glass transition temperature and a specificity transition temperature.


PACS

87.14.E- Proteins

87.15.A- Theory, modeling, and computer simulation

87.15.B- Structure of biomolecules

Subjects

Biological physics

Dates

Issue 2 (June 2005)

Received 1 February 2005, accepted for publication 12 April 2005

Published 13 May 2005

 
The energy spectrum of the flu hemagglutininin/Fab complex 1eo8.


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