Literature DB >> 1504755

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

G Pöch1, F Brunner, E Kühberger.   

Abstract

1. One aim of this paper is to show an alternative approach for the determination of antagonist affinity estimates, KB and pA2, by construction and evaluation of antagonist dose-response curves (DRCs), using the curve-fitting programme, ALLFIT. 2. Parallel antagonist DRCs were derived by vertical analysis of families of conventional agonist DRCs in the presence and absence of an antagonist at a certain agonist concentration above its ED50. The latter represents a chosen, i.e. fixed dose-ratio (DR). The antagonist concentration that reduces an agonist effect to its Emax/2 was termed Bx. It corresponds to B, the fixed antagonist concentration, tested to obtain DR-1, conventionally. 3. The dissociation constant was calculated as KB = Bx/DR-1, analogous to the conventional approach (KB = B/DR-1). Likewise, pA2-values were estimated by plotting log Bx, obtained by the alternative approach, vs log (DR-1) in an 'alternative Schild plot'. 4. Experimental agonist DRCs from our laboratory and from the literature were analysed and KB- and pA2-values obtained by the alternative approach were compared with those obtained by the conventional method. The results showed a very good agreement (correlation) between the pA2-values obtained by either method (slope = 1.02, r = 0.99, n = 9), in agreement with theoretical DRCs. 5. Besides estimation of KB and pA2, antagonist DRCs were also evaluated qualitatively. The most important finding was that allosteric antagonists or competitive antagonists with an allosteric component, such as gallamine, showed a significant reduction in the maximum of the antagonist DRCs (Imax). The evaluation of antagonist DRCs appears to be a sensitive procedure to detect allosteric interactions.6. This alternative approach can supplement or replace the conventional approach for the evaluation of antagonists on a quantitative and qualitative basis. The alternative approach appears of special advantage where the supply and/or the solubility of the agonist is limited, resulting in incomplete agonist DRCs.7. For rapid screening of potential antagonists, a single antagonist DRC at the maximum effective agonist concentration may be constructed to calculate KB reliably.

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Year:  1992        PMID: 1504755      PMCID: PMC1907557          DOI: 10.1111/j.1476-5381.1992.tb14399.x

Source DB:  PubMed          Journal:  Br J Pharmacol        ISSN: 0007-1188            Impact factor:   8.739


  15 in total

1.  Drug antagonism and pAx.

Authors:  H O SCHILD
Journal:  Pharmacol Rev       Date:  1957-06       Impact factor: 25.468

2.  A theoretical basis of molecular pharmacology. I. Interactions of one or two compounds with one receptor system.

Authors:  E J ARIENS; J M VAN ROSSUM; A M SIMONIS
Journal:  Arzneimittelforschung       Date:  1956-05

3.  Simple pA2 estimation of partial agonists: comparison with the Kaumann-Blinks method.

Authors:  G Pöch; I Zimmermann
Journal:  J Pharmacol Methods       Date:  1988-03

4.  Estimation of the affinities of allosteric ligands using radioligand binding and pharmacological null methods.

Authors:  F J Ehlert
Journal:  Mol Pharmacol       Date:  1988-02       Impact factor: 4.436

5.  Allosteric interactions of three muscarine antagonists at bovine tracheal smooth muscle and cardiac M2 receptors.

Authors:  A F Roffel; C R Elzinga; H Meurs; J Zaagsma
Journal:  Eur J Pharmacol       Date:  1989-03-07       Impact factor: 4.432

Review 6.  pA2 and receptor differentiation: a statistical analysis of competitive antagonism.

Authors:  R J Tallarida; A Cowan; M W Adler
Journal:  Life Sci       Date:  1979-08-20       Impact factor: 5.037

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

Authors:  R M Eglen; R L Whiting
Journal:  Life Sci       Date:  1989       Impact factor: 5.037

8.  On the interaction of gallamine with muscarinic receptor subtypes.

Authors:  A D Michel; R E Delmendo; M Lopez; R L Whiting
Journal:  Eur J Pharmacol       Date:  1990-07-03       Impact factor: 4.432

9.  Gallamine allosterically antagonizes muscarinic receptor-mediated inhibition of adenylate cyclase activity in the rat myocardium.

Authors:  F J Ehlert
Journal:  J Pharmacol Exp Ther       Date:  1988-11       Impact factor: 4.030

10.  Influence of ligand choice on the apparent binding profile of gallamine to cardiac muscarinic receptors. Identification of three main types of gallamine-muscarinic receptor interactions.

Authors:  N H Lee; E E el-Fakahany
Journal:  J Pharmacol Exp Ther       Date:  1988-09       Impact factor: 4.030

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

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Journal:  Br J Pharmacol       Date:  1994-01       Impact factor: 8.739

4.  Pharmacological characterization of acetylcholine-stimulated [35S]-GTP gamma S binding mediated by human muscarinic m1-m4 receptors: antagonist studies.

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

Review 5.  The Chemical Relationship Among Beta-Lactam Antibiotics and Potential Impacts on Reactivity and Decomposition.

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