Literature DB >> 1310600

Optimal association-saturation procedure for estimating association and dissociation rate parameters in receptor studies. Application to solubilized A1 adenosine receptors.

V Casadó1, R Franco, J Mallol, C Lluis, E I Canela.   

Abstract

A method of obtaining estimates of the maximum binding and association and dissociation rate constants for a receptor-ligand interaction is described. This new procedure, the association-saturation method, is based on an exact mathematical equation which defines the model without simplifications. The method proposed is readily applicable to any system consisting of one ligand and one receptor. With only four determinations, each involving one ligand concentration and an association time, it is possible to determine the number of specific binding sites, the dissociation and association rate constants and the equilibrium dissociation constant with accuracy. No dissociation curve is required, and only one point of the association curve for each ligand concentration is necessary. In addition to the higher confidence in the estimates of the parameter values obtained, this method leads to important savings in radiolabelled compounds and experimental time. The results were compared with those obtained with standard association-dissociation curves and saturation isotherms. The optimum number of replicates of each experimental point to obtain reliable estimates of different parameters is discussed on the basis of simulation studies. The performance of the procedure is analysed by means of association-saturation experiments with the agonist [adenine-2,8-3H,ethyl-2-3H]N6-phenylisopropyladenosine and solubilized A1 adenosine receptors from pig brain cortex.

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Year:  1992        PMID: 1310600      PMCID: PMC1130710          DOI: 10.1042/bj2810477

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  23 in total

1.  Agonist radioligand interactions with the solubilized porcine atrial A1 adenosine receptor.

Authors:  M Leid; M I Schimerlik; T F Murray
Journal:  Mol Pharmacol       Date:  1989-04       Impact factor: 4.436

2.  Mathematical theory of immunoradiometric (labeled antibody) assays.

Authors:  D Rodbard; G H Weiss
Journal:  Anal Biochem       Date:  1973-03       Impact factor: 3.365

3.  A microcomputer method for designing optimal experiments for estimating enzyme kinetic parameters.

Authors:  E I Canela
Journal:  Int J Biomed Comput       Date:  1985-05

4.  Characterization of agonist radioligand interactions with porcine atrial A1 adenosine receptors.

Authors:  M Leid; M I Schimerlik; T F Murray
Journal:  Mol Pharmacol       Date:  1988-09       Impact factor: 4.436

5.  Characterization of the solubilized A1 adenosine receptor from rat brain membranes.

Authors:  K N Klotz; M J Lohse; U Schwabe
Journal:  J Neurochem       Date:  1986-05       Impact factor: 5.372

6.  Comparison of the binding properties of A1 adenosine receptors in brain membranes of two congeneric marine fishes living at different depths.

Authors:  T F Murray; J F Siebenaller
Journal:  J Comp Physiol B       Date:  1987       Impact factor: 2.200

7.  A1 adenosine receptor-G protein coupling in bovine brain membranes: effects of guanine nucleotides, salt, and solubilization.

Authors:  G L Stiles
Journal:  J Neurochem       Date:  1988-11       Impact factor: 5.372

8.  Hydrodynamic properties of adenosine Ri receptors solubilized from rat cerebral-cortical membranes.

Authors:  S M Yeung; E Perez-Reyes; D M Cooper
Journal:  Biochem J       Date:  1987-12-15       Impact factor: 3.857

9.  Chronic exposure to subcutaneously implanted methylxanthines. Differential elevation of A1-adenosine receptors in mouse cerebellar and cerebral cortical membranes.

Authors:  C L Zielke; H R Zielke
Journal:  Biochem Pharmacol       Date:  1987-08-01       Impact factor: 5.858

10.  125I-BW-A844U, an antagonist radioligand with high affinity and selectivity for adenosine A1 receptors, and 125I-azido-BW-A844U, a photoaffinity label.

Authors:  A Patel; R H Craig; S M Daluge; J Linden
Journal:  Mol Pharmacol       Date:  1988-06       Impact factor: 4.436

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  2 in total

1.  Simultaneous optimal experimental design for in vitro binding parameter estimation.

Authors:  C Steven Ernest; Mats O Karlsson; Andrew C Hooker
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-08-13       Impact factor: 2.745

2.  Expression of Adenosine A2B Receptor and Adenosine Deaminase in Rabbit Gastric Mucosa ECL Cells.

Authors:  Rosa María Arin; Ana Isabel Vallejo; Yuri Rueda; Olatz Fresnedo; Begoña Ochoa
Journal:  Molecules       Date:  2017-04-12       Impact factor: 4.411

  2 in total

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