Literature DB >> 3543328

Testing models of insulin binding in rat adipocytes using network thermodynamic computer simulations.

T J Martin, J M May.   

Abstract

Many different models have been proposed to explain the complex binding behavior of insulin to its receptor, but a systematic comparison of models with experimental results is lacking. We have used network thermodynamic computer simulations to compare models of insulin binding against the results of several experimental tests designed to differentiate between the models. Six models of insulin binding were tested (simple, diffusion-reaction, conversion, dissociation, heterogeneous site, and two-step intramembrane) against results reported in the literature for isolated rat adipocytes. Although still a matter of experimental controversy, the criteria selected for modeling were curvilinear Scatchard plots, bi-or multi-exponential dissociation, insulin-accelerated dissociation, lack of dependence of the overall dissociation constant on receptor number, and receptor reserve. Using a given set of parameter values most appropriate for each model, none was able to account for all of the observed experimental results. This indicates both the complexity of the binding reaction and the need for further model development. The approach of using computer simulations to systematically test models against experimental results affords not only insight into the critical features of a model enabling it to pass a test, but also indicates potential experiments which might differentiate between models.

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Year:  1986        PMID: 3543328     DOI: 10.3109/10799898609074818

Source DB:  PubMed          Journal:  J Recept Res        ISSN: 0197-5110


  2 in total

1.  A hierarchical whole-body modeling approach elucidates the link between in Vitro insulin signaling and in Vivo glucose homeostasis.

Authors:  Elin Nyman; Cecilia Brännmark; Robert Palmér; Jan Brugård; Fredrik H Nyström; Peter Strålfors; Gunnar Cedersund
Journal:  J Biol Chem       Date:  2011-05-13       Impact factor: 5.157

2.  Mass and information feedbacks through receptor endocytosis govern insulin signaling as revealed using a parameter-free modeling framework.

Authors:  Cecilia Brännmark; Robert Palmér; S Torkel Glad; Gunnar Cedersund; Peter Strålfors
Journal:  J Biol Chem       Date:  2010-04-26       Impact factor: 5.157

  2 in total

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