Literature DB >> 12135342

Analysis of ligand-receptor interactions from the molecular level to the whole-body level.

B N Manukhin1.   

Abstract

A system for the quantitative analysis of ligand-receptor interactions is presented, based on models of different levels of complexity. For two pools of receptors, binding of a radioactive ligand is described by b = [(Bml x A(nl))/(K(nl)dl + A(nl))] + [(Bm2 x A(n2))/(Kn2(d2) + A(n2))], (1) where b is the number of bound receptors at a ligand concentration [A], Bml and Bm2 are the receptor concentrations. Kdl and Kd2 are dissociation constants for the ligand-receptor complex, and n1 and n2 are Hill coefficients. The magnitude of the physiological response for a system consisting of two discrete pools of receptors with different affinities is given by p = [(Pm x A(nl))/(EC50(nl) + A(nl))] + [(Pm2 x A(n2)/(EC50(n2)2 + A(n2))], (2) where p is the magnitude of the response to an agonist (or antagonist) at concentration [A], Pml and Pm2 are the maximal magnitudes of the responses for the individual pools of receptors, EC50(1) and EC50(2) are the agonist concentrations giving responses of magnitudes Pm1/2 and Pm2/2, and n1 and n2 are Hill coefficients. The parameters of these equations show: the number of pools of receptors with different affinities for the ligand (Kd or EC50), the number of active receptors (Bmax) or the magnitudes of the maximal response (Pmax), and the numbers of ligand molecules binding with the receptor (n, the Hill coefficient). E is the efficiency (E = Bmax/2Kd, or E = Pmax/2EC50) and gives the overall characteristics of the activity of the effector system. This method of analysis can be applied to any biological reactions whose results can be presented quantitatively.

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Year:  2002        PMID: 12135342     DOI: 10.1023/a:1015014408089

Source DB:  PubMed          Journal:  Neurosci Behav Physiol        ISSN: 0097-0549


  28 in total

1.  Cardiac muscarinic receptors. Cooperativity as the basis for multiple states of affinity.

Authors:  P Chidiac; M A Green; A B Pawagi; J W Wells
Journal:  Biochemistry       Date:  1997-06-17       Impact factor: 3.162

Review 2.  Molecular approaches to receptors as targets for drug discovery.

Authors:  J M Herz; W J Thomsen; G G Yarbrough
Journal:  J Recept Signal Transduct Res       Date:  1997-09       Impact factor: 2.092

3.  Alpha-1 adrenoceptor subtypes (high, low) in human benign prostatic hypertrophy tissue according to the affinities for prazosin.

Authors:  M Takeda; A Hatano; T Komeyama; T Koizumi; T Mizusawa; T Kanai; Y Tomita; K Maruyama; T Nagatomo
Journal:  Prostate       Date:  1997-06-01       Impact factor: 4.104

4.  An approach to analysis of radiolabeled ligand interactions with specific receptors.

Authors:  B N Manukhin; L A Nesterova; E A Smurova; T P Kichikulova
Journal:  Eur J Pharmacol       Date:  1999-12-15       Impact factor: 4.432

5.  Acetylcholine and epibatidine binding to muscle acetylcholine receptors distinguish between concerted and uncoupled models.

Authors:  R J Prince; S M Sine
Journal:  J Biol Chem       Date:  1999-07-09       Impact factor: 5.157

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Authors:  B N Manukhin
Journal:  Fiziol Zh SSSR Im I M Sechenova       Date:  1987-07

7.  Mathematical theory of complex ligand-binding systems of equilibrium: some methods for parameter fitting.

Authors:  H A Feldman
Journal:  Anal Biochem       Date:  1972-08       Impact factor: 3.365

8.  Agonist binding to the Torpedo acetylcholine receptor. 1. Complexities revealed by dissociation kinetics.

Authors:  S M Dunn; M A Raftery
Journal:  Biochemistry       Date:  1997-04-01       Impact factor: 3.162

9.  Kinetic and equilibrium studies of (-)125iodocyanopindolol binding to beta-adrenoceptors on human lymphocytes: evidence for the existence of two classes of binding sites.

Authors:  T Anhäupl; B Liebl; J Remien
Journal:  J Recept Res       Date:  1988

10.  Cooperativity manifest in the binding properties of purified cardiac muscarinic receptors.

Authors:  K A Wreggett; J W Wells
Journal:  J Biol Chem       Date:  1995-09-22       Impact factor: 5.157

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