Literature DB >> 2536880

Thermodynamic analysis of the drug-receptor interaction.

R B Raffa1, F Porreca.   

Abstract

Thermodynamic analysis of pharmacologic data potentially offers an insight into the molecular events underlying drug-receptor interactions not obtainable by other techniques. Embodied in thermodynamics are the laws governing the interconvertibility of heat and work and, hence, it is a particularly apt framework for the analysis of the transduction of information from ligand to biological tissue during the initiation of a drug effect. Implicit in thermodynamic analysis of pharmacologic data is quantitative measurement of the driving forces involved in the drug-receptor interaction (in place of less precise terms such as "affinity"). In addition, the cautious interpretation of thermodynamic analysis can give clues to the underlying mechanisms of the drug-receptor interaction that is beyond the resolving power of other parameters, such as the dissociation constant. The present review is an attempt to identify representative reports that have overtly analyzed pharmacologic data with thermodynamic analysis, to summarize the findings within and across studies (particularly regarding enthalpy- versus entropy-driven binding of agonists and antagonists), to point out and address some apparent inconsistencies that can arise, and to consider the application of thermodynamic analysis to data obtained using isolated tissue preparations.

Mesh:

Substances:

Year:  1989        PMID: 2536880     DOI: 10.1016/0024-3205(89)90182-3

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


  10 in total

1.  Thermodynamic analysis of ligands at cholecystokinin CCK2 receptors in rat cerebral cortex.

Authors:  E A Harper; S P Roberts; S B Kalindjian
Journal:  Br J Pharmacol       Date:  2007-06-25       Impact factor: 8.739

2.  Temperature dependence of drug blockade of a calcium-dependent potassium channel in cultured hippocampal neurons.

Authors:  J G McLarnon; X P Wang
Journal:  Biophys J       Date:  1991-11       Impact factor: 4.033

3.  Temperature dependence of unitary properties of an ATP-dependent potassium channel in cardiac myocytes.

Authors:  J G McLarnon; B N Hamman; G F Tibbits
Journal:  Biophys J       Date:  1993-11       Impact factor: 4.033

4.  Thermodynamics of anesthetic/protein interactions. Temperature studies on firefly luciferase.

Authors:  R Dickinson; N P Franks; W R Lieb
Journal:  Biophys J       Date:  1993-04       Impact factor: 4.033

5.  Differentiation of receptor subtypes by thermodynamic analysis: application to opioid delta receptors.

Authors:  K D Wild; F Porreca; H I Yamamura; R B Raffa
Journal:  Proc Natl Acad Sci U S A       Date:  1994-12-06       Impact factor: 11.205

6.  Histamine H3-receptor agonists and imidazole-based H3-receptor antagonists can be thermodynamically discriminated.

Authors:  E A Harper; J W Black
Journal:  Br J Pharmacol       Date:  2007-04-02       Impact factor: 8.739

7.  Thermodynamics of antagonist binding to rat muscarinic M2 receptors: antimuscarinics of the pridinol, sila-pridinol, diphenidol and sila-diphenidol type.

Authors:  M Waelbroeck; J Camus; M Tastenoy; G Lambrecht; E Mutschler; M Kropfgans; J Sperlich; F Wiesenberger; R Tacke; J Christophe
Journal:  Br J Pharmacol       Date:  1993-06       Impact factor: 8.739

8.  Comparison of the in vitro binding characteristics of the beta-carbolines harman and norharman in rat brain and liver and in bovine adrenal medulla.

Authors:  T May; A Greube; S Strauss; D Heineke; J Lehmann; H Rommelspacher
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  1994-03       Impact factor: 3.000

9.  Thermodynamic analysis of agonist and antagonist binding to the chicken brain melatonin receptor.

Authors:  N W Chong; D Sugden
Journal:  Br J Pharmacol       Date:  1994-01       Impact factor: 8.739

10.  3D-RISM-AI: A Machine Learning Approach to Predict Protein-Ligand Binding Affinity Using 3D-RISM.

Authors:  Kazu Osaki; Toru Ekimoto; Tsutomu Yamane; Mitsunori Ikeguchi
Journal:  J Phys Chem B       Date:  2022-08-15       Impact factor: 3.466

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.