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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Ranjeva, Raoul Gendrault, Yves Kilhoffer, Marie-claude Lallement, Christophe Haiech, Jacques Madec, Morgan |
| Description | Author Affiliation: Haiech J ( LIT, Therapeutic Innovation Laboratory, UMR7200 CNRS, University of Strasbourg, Faculty of Pharmacy, Illkirch, France. Electronic address: haiech@unistra.fr.); Gendrault Y ( ICube, Engineering, Computer and Imaging Science Laboratory, UMR7357 CNRS, University of Strasbourg, Telecom - Strasbourg, France.); Kilhoffer MC ( LIT, Therapeutic Innovation Laboratory, UMR7200 CNRS, University of Strasbourg, Faculty of Pharmacy, Illkirch, France.); Ranjeva R ( LIT, Therapeutic Innovation Laboratory, UMR7200 CNRS, University of Strasbourg, Faculty of Pharmacy, Illkirch, France.); Madec M ( ICube, Engineering, Computer and Imaging Science Laboratory, UMR7357 CNRS, University of Strasbourg, Telecom - Strasbourg, France.); Lallement C ( ICube, Engineering, Computer and Imaging Science Laboratory, UMR7357 CNRS, University of Strasbourg, Telecom - Strasbourg, France.) |
| 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. |
| ISSN | 00063002 |
| Journal | Biochimica et Biophysica Acta (BBA) - Reviews on Cancer |
| Issue Number | 10 |
| Volume Number | 1843 |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2014-10-01 |
| Publisher Place | Netherlands |
| Access Restriction | Open |
| Subject Keyword | Algorithms Calcium Metabolism Calmodulin Models, Statistical Allosteric Site Chemistry Kinetics Ligands Protein Binding Biochemistry |
| Content Type | Text |
| Resource Type | Article |
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