Literature DB >> 24657812

A general framework improving teaching ligand binding to a macromolecule.

Jacques Haiech1, Yves Gendrault2, Marie-Claude Kilhoffer3, Raoul Ranjeva3, Morgan Madec2, Christophe Lallement2.   

Abstract

The interaction of a ligand with a macromolecule has been modeled following different theories. The tenants of the induced fit model consider that upon ligand binding, the protein-ligand complex undergoes a conformational change. In contrast, the allosteric model assumes that only one among different coexisting conformers of a given protein is suitable to bind the ligand optimally. In the present paper, we propose a general framework to model the binding of ligands to a macromolecule. Such framework built on the binding polynomial allows opening new ways to teach in a unified manner ligand binding, enzymology and receptor binding in pharmacology. Moreover, we have developed simple software that allows building the binding polynomial from the schematic description of the biological system under study. Taking calmodulin as a canonical example, we show here that the proposed tool allows the easy retrieval of previously experimental and computational reports. This article is part of a Special Issue entitled: Calcium Signaling in Health and Disease. Guest Editors: Geert Bultynck, Jacques Haiech, Claus W. Heizmann, Joachim Krebs, and Marc Moreau.
Copyright © 2014. Published by Elsevier B.V.

Entities:  

Keywords:  Adair–Klotz model; Allostery; Binding model; Binding polynomial; Calmodulin; Enzymology; Induced fit

Mesh:

Substances:

Year:  2014        PMID: 24657812     DOI: 10.1016/j.bbamcr.2014.03.013

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  3 in total

1.  Using competition assays to quantitatively model cooperative binding by transcription factors and other ligands.

Authors:  Jacob Peacock; James B Jaynes
Journal:  Biochim Biophys Acta Gen Subj       Date:  2017-08-01       Impact factor: 3.770

2.  Thermodynamics of Calcium binding to the Calmodulin N-terminal domain to evaluate site-specific affinity constants and cooperativity.

Authors:  Maria Rosa Beccia; Sandrine Sauge-Merle; David Lemaire; Nicolas Brémond; Romain Pardoux; Stéphanie Blangy; Philippe Guilbaud; Catherine Berthomieu
Journal:  J Biol Inorg Chem       Date:  2015-06-13       Impact factor: 3.358

3.  Targeting Beta-Blocker Drug-Drug Interactions with Fibrinogen Blood Plasma Protein: A Computational and Experimental Study.

Authors:  Michael González-Durruthy; Riccardo Concu; Laura F Osmari Vendrame; Ivana Zanella; Juan M Ruso; M Natália D S Cordeiro
Journal:  Molecules       Date:  2020-11-19       Impact factor: 4.411

  3 in total

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