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Induced fit versus conformational selection: From rate constants to fluxes… and back to rate constants
Induced fit‐ (IF) and conformational selection (CS) binding mechanisms have long been regarded to be mutually exclusive. Yet, they are now increasingly considered to produce the final ligand‐target complex alongside within a thermodynamic cycle. This viewpoint benefited from the introduction of bind...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404059/ https://www.ncbi.nlm.nih.gov/pubmed/34459109 http://dx.doi.org/10.1002/prp2.847 |
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author | Vauquelin, Georges Maes, Dominique |
author_facet | Vauquelin, Georges Maes, Dominique |
author_sort | Vauquelin, Georges |
collection | PubMed |
description | Induced fit‐ (IF) and conformational selection (CS) binding mechanisms have long been regarded to be mutually exclusive. Yet, they are now increasingly considered to produce the final ligand‐target complex alongside within a thermodynamic cycle. This viewpoint benefited from the introduction of binding fluxes as a tool for analyzing the overall behavior of such cycle. This study aims to provide more vivid and applicable insights into this emerging field. In this respect, combining differential equation‐ based simulations and hitherto little explored alternative modes of calculation provide concordant information about the intricate workings of such cycle. In line with previous reports, we observe that the relative contribution of IF increases with the ligand concentration at equilibrium. Yet the baseline contribution may vary from one case to another and simulations as well as calculations show that this parameter is essentially regulated by the dissociation rate of both pathways. Closer attention should be paid to how the contributions of IF and CS compare at physiologically relevant drug/ligand concentrations. To this end, a simple equation discloses how changing a limited set of “microscopic” rate constants can extend the concentration range at which CS contributes most effectively. Finally, it could also be beneficial to extend the utilization of flux‐ based approaches to more physiologically relevant time scales and alternative binding models. |
format | Online Article Text |
id | pubmed-8404059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84040592021-09-03 Induced fit versus conformational selection: From rate constants to fluxes… and back to rate constants Vauquelin, Georges Maes, Dominique Pharmacol Res Perspect Original Articles Induced fit‐ (IF) and conformational selection (CS) binding mechanisms have long been regarded to be mutually exclusive. Yet, they are now increasingly considered to produce the final ligand‐target complex alongside within a thermodynamic cycle. This viewpoint benefited from the introduction of binding fluxes as a tool for analyzing the overall behavior of such cycle. This study aims to provide more vivid and applicable insights into this emerging field. In this respect, combining differential equation‐ based simulations and hitherto little explored alternative modes of calculation provide concordant information about the intricate workings of such cycle. In line with previous reports, we observe that the relative contribution of IF increases with the ligand concentration at equilibrium. Yet the baseline contribution may vary from one case to another and simulations as well as calculations show that this parameter is essentially regulated by the dissociation rate of both pathways. Closer attention should be paid to how the contributions of IF and CS compare at physiologically relevant drug/ligand concentrations. To this end, a simple equation discloses how changing a limited set of “microscopic” rate constants can extend the concentration range at which CS contributes most effectively. Finally, it could also be beneficial to extend the utilization of flux‐ based approaches to more physiologically relevant time scales and alternative binding models. John Wiley and Sons Inc. 2021-08-30 /pmc/articles/PMC8404059/ /pubmed/34459109 http://dx.doi.org/10.1002/prp2.847 Text en © 2021 The Authors. Pharmacology Research & Perspectives published by British Pharmacological Society and American Society for Pharmacology and Experimental Therapeutics and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Vauquelin, Georges Maes, Dominique Induced fit versus conformational selection: From rate constants to fluxes… and back to rate constants |
title | Induced fit versus conformational selection: From rate constants to fluxes… and back to rate constants |
title_full | Induced fit versus conformational selection: From rate constants to fluxes… and back to rate constants |
title_fullStr | Induced fit versus conformational selection: From rate constants to fluxes… and back to rate constants |
title_full_unstemmed | Induced fit versus conformational selection: From rate constants to fluxes… and back to rate constants |
title_short | Induced fit versus conformational selection: From rate constants to fluxes… and back to rate constants |
title_sort | induced fit versus conformational selection: from rate constants to fluxes… and back to rate constants |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404059/ https://www.ncbi.nlm.nih.gov/pubmed/34459109 http://dx.doi.org/10.1002/prp2.847 |
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