Literature DB >> 2913438

Problems associated with the application of the Cheng-Prusoff relationship to estimate atropine affinity constants using functional tissue responses.

R M Eglen1, R L Whiting.   

Abstract

We have studied problems associated with the application of the Cheng-Prusoff relationship to the estimation of atropine dissociation constants from isolated guinea-pig tracheal responses. The values obtained have been compared to dissociation constants derived using Schild analysis. It was observed that when either carbachol (an agonist of high efficacy) or pilocarpine (an agonist of low efficacy) was used the dissociation constants estimated for atropine using the Schild analysis were very similar to those estimated using the Cheng-Prusoff relationship. In these latter experiments the agonist concentration used was the EC80. When the agonist concentration used was increased to supramaximal concentrations (3-fold greater than the EC100) the dissociation constants derived were overestimations by approximately 10-fold. It is concluded that in certain circumstances the results obtained using both the Cheng-Prusoff relationship and Schild analysis are comparable. However, it is unlikely that the Cheng-Prusoff relationship is generally applicable and that Schild analysis is clearly preferable in determining antagonist dissociation constants.

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Year:  1989        PMID: 2913438     DOI: 10.1016/0024-3205(89)90221-x

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  2 in total

1.  Construction of antagonist dose-response curves for estimation of pA2-values by Schild-plot analysis and detection of allosteric interactions.

Authors:  G Pöch; F Brunner; E Kühberger
Journal:  Br J Pharmacol       Date:  1992-07       Impact factor: 8.739

2.  Estimation of competitive antagonist affinity from functional inhibition curves using the Gaddum, Schild and Cheng-Prusoff equations.

Authors:  S Lazareno; N J Birdsall
Journal:  Br J Pharmacol       Date:  1993-08       Impact factor: 8.739

  2 in total

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