Literature DB >> 12513312

Statistical model for receptor-ligand binding thermodynamics.

Marc Thilo Figge1.   

Abstract

We present a simple statistical model to describe receptor-ligand binding in terms of the number of binding contact residues and the number of separate binding regions as a function of the temperature. The fact that the binding depends on various random factors is modeled by a distribution of local binding energies and we take into account that the interaction between receptor and ligand is only of significance for the activation of the receptor if the total binding energy exceeds a threshold energy. We interpret our results in the light of both experimentally observed antibody-antigen binding configurations and theoretical studies in the zero-temperature limit.

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Year:  2002        PMID: 12513312     DOI: 10.1103/PhysRevE.66.061901

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  1 in total

1.  Optimization of immunoglobulin substitution therapy by a stochastic immune response model.

Authors:  Marc Thilo Figge
Journal:  PLoS One       Date:  2009-05-28       Impact factor: 3.240

  1 in total

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