Literature DB >> 9227462

An evaluation of the cross-linking model for the interaction of insulin with its receptor.

B J Hammond1, J Tikerpae, G D Smith.   

Abstract

The cross-linking model for insulin receptor interactions, in which a single insulin molecule may form a cross-link between an insulin receptor's alpha-subunits, has been expressed as a formal compartmental model and subjected to a systematic analysis, examining a number of predictions that have been made for this model. The kinetic parameters for the model were obtained by matching data from insulin receptor equilibrium binding studies and rates of formation of the insulin receptor complex. This analytical study has allowed a clear description of the kinetics of the ligand receptor complexes involved in such a mechanism. We conclude that the cross-linking model accounts for the anomaly of the 10-fold concentration difference in high- and low-affinity binding sites found when insulin binding is analyzed by conventional means. However, the phenomenon of acceleration of dissociation of labeled ligand by unlabeled ligand cannot be accounted for as an intrinsic part of the model. We suggest that this phenomenon arises from the destabilization of cross-link formation when a second insulin molecule binds.

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Year:  1997        PMID: 9227462     DOI: 10.1152/ajpendo.1997.272.6.E1136

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  3 in total

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Authors:  Nikolay M Borisov; Nick I Markevich; Jan B Hoek; Boris N Kholodenko
Journal:  Biophys J       Date:  2005-05-27       Impact factor: 4.033

2.  Quasi-Steady-State Analysis based on Structural Modules and Timed Petri Net Predict System's Dynamics: The Life Cycle of the Insulin Receptor.

Authors:  Jennifer Scheidel; Klaus Lindauer; Jörg Ackermann; Ina Koch
Journal:  Metabolites       Date:  2015-12-17

3.  Harmonic oscillator model of the insulin and IGF1 receptors' allosteric binding and activation.

Authors:  Vladislav V Kiselyov; Soetkin Versteyhe; Lisbeth Gauguin; Pierre De Meyts
Journal:  Mol Syst Biol       Date:  2009-02-17       Impact factor: 11.429

  3 in total

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