David A. Sykes
Investigating the Influence of Tracer Kinetics on Competition-Kinetic Association Binding Assays: Identifying the Optimal Conditions for Assessing the Kinetics of Low-Affinity Compounds
Sykes, David A.; Jain, Palash; Charlton, Steven J.
Authors
Palash Jain
STEVEN CHARLTON Steven.Charlton@nottingham.ac.uk
Professor of Molecular Pharmacology and Drug Discovery
Abstract
An increased appreciation of the importance of optimizing drug-binding kinetics has lead to the development of various techniques for measuring the kinetics of unlabeled compounds. One approach is the competition-association kinetic binding method first described in the 1980s. The kinetic characteristics of the tracer employed greatly affects the reliability of estimated kinetic parameters, a barrier to successfully introducing these kinetic assays earlier in the drug discovery process. Using a modeling and Monte Carlo simulation approach, we identify the optimal tracer characteristics for determining the kinetics of the range of unlabeled ligands typically encountered during the different stages of a drug discovery program (i.e., rapidly dissociating, e.g., koff = 10 minute−1 low-affinity “hits” through to slowly dissociating e.g., koff = 0.01 minute−1 high-affinity “candidates”). For more rapidly dissociating ligands (e.g., koff = 10 minute−1), the key to obtaining accurate kinetic parameters was to employ a tracer with a relatively fast off-rate (e.g., koff = 1 minute−1) or, alternatively, to increase the tracer concentration. Reductions in assay start-time ≤1second and read frequency ≤5 seconds significantly improved the reliability of curve fitting. Timing constraints are largely dictated by the method of detection, its inherent sensitivity (e.g., TR-FRET versus radiometric detection), and the ability to inject samples online. Furthermore, we include data from TR-FRET experiments that validate this simulation approach, confirming its practical utility. These insights into the optimal experimental parameters for development of competition-association assays provide a framework for identifying and testing novel tracers necessary for profiling unlabeled competitors, particularly rapidly dissociating low-affinity competitors.
Citation
Sykes, D. A., Jain, P., & Charlton, S. J. (2019). Investigating the Influence of Tracer Kinetics on Competition-Kinetic Association Binding Assays: Identifying the Optimal Conditions for Assessing the Kinetics of Low-Affinity Compounds. Molecular Pharmacology, 96(3), 378-392. https://doi.org/10.1124/mol.119.116764
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 22, 2019 |
Online Publication Date | Jul 10, 2019 |
Publication Date | 2019-09 |
Deposit Date | Oct 17, 2019 |
Journal | Molecular Pharmacology |
Print ISSN | 0026-895X |
Electronic ISSN | 1521-0111 |
Publisher | American Society for Pharmacology and Experimental Therapeutics |
Peer Reviewed | Peer Reviewed |
Volume | 96 |
Issue | 3 |
Pages | 378-392 |
DOI | https://doi.org/10.1124/mol.119.116764 |
Keywords | Molecular Medicine; Pharmacology |
Public URL | https://nottingham-repository.worktribe.com/output/2852677 |
Publisher URL | http://molpharm.aspetjournals.org/content/96/3/378 |
You might also like
The role of kinetic context in apparent biased agonism at GPCRs
(2016)
Journal Article
Binding kinetics of ligands acting at GPCRs
(2019)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search