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Updated: Aug 31, 2025

Comparing the Affinity of GTPase-binding Proteins using Competition Assays
Published on: October 8, 2015
Competition in drug binding and … the race to equilibrium
Georges Vauquelin1, Dominique Maes2
1Department of Molecular and Biochemical Pharmacology, Vrije Universiteit Brussel, Brussels, Belgium.
Binding kinetics can be better understood using binding fluxes instead of rate constants. This novel approach offers visual insights into complex drug-target interactions and pathways.
Area of Science:
- Pharmacology
- Biophysics
- Computational Chemistry
Background:
- Binding kinetics is crucial for understanding drug selectivity and duration.
- Current descriptions of complex binding mechanisms often rely on complex algebraic equations.
- A decade ago, a shift towards binding fluxes over rate constants was proposed.
Purpose of the Study:
- To explore novel binding flux-based approaches for analyzing complex binding mechanisms.
- To provide visual insights into ligand competition and pathway selection.
- To investigate binding kinetics under non-equilibrium conditions.
Main Methods:
- Utilized differential equation-based simulations.
- Analyzed binding fluxes representing the velocity of species conversion.
- Examined competition between two ligands for a single target.
- Investigated induced fit versus conformational selection pathways within a thermodynamic cycle.
Main Results:
- Ligand-binding steps proceed at individual paces towards equilibrium.
- Competition assays may exhibit transient overshoots in bound species.
- Overshoots in thermodynamic cycles might initially suggest dominant induced fit pathways, but findings indicate otherwise under certain conditions.
- Binding flux approaches offer visual insights into complex mechanisms.
Conclusions:
- Binding flux-based approaches provide a more intuitive understanding of complex binding kinetics.
- These methods offer valuable visual insights into non-equilibrium binding events.
- The study highlights the utility of binding fluxes for analyzing drug-target interactions and molecular recognition processes.
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