A docking analysis of the statistical physics of protein-protein recognition.

Abstract : 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.
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Physical Biology, Institute of Physics: Hybrid Open Access, 2005, 2 (2), pp.S17-23. 〈http://www.iop.org/EJ/article/1478-3975/2/2/S02/ph5_2_s02.pdf〉. 〈10.1088/1478-3975/2/2/S02〉
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Contributeur : Julie Bernauer <>
Soumis le : jeudi 12 novembre 2009 - 19:49:16
Dernière modification le : mardi 24 avril 2018 - 13:51:41

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Julie Bernauer, Anne Poupon, Jérôme Azé, Joël Janin. A docking analysis of the statistical physics of protein-protein recognition.. Physical Biology, Institute of Physics: Hybrid Open Access, 2005, 2 (2), pp.S17-23. 〈http://www.iop.org/EJ/article/1478-3975/2/2/S02/ph5_2_s02.pdf〉. 〈10.1088/1478-3975/2/2/S02〉. 〈inria-00431699〉

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