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
Professor 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 |
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