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Updated: Jan 2, 2026

Bio-layer Interferometry for Measuring Kinetics of Protein-protein Interactions and Allosteric Ligand Effects
Published on: February 18, 2014
Unlocking latent kinetic information from label-free binding
John G Quinn1, Micah Steffek2, John M Bruning2
1Biophysical group, Biochemical and Cellular Pharmacology, Genentech, Inc., 1 DNA Way, South San Francisco, CA, 94080, USA. quinnj6@gene.com.
This study introduces a new method for measuring transient binding kinetics using label-free biosensors. This approach offers higher throughput for understanding biological interactions crucial for drug discovery and life sciences.
Area of Science:
- Biophysics
- Biochemistry
- Chemical Biology
Background:
- Transient binding interactions are fundamental to biological processes like cell signaling and gene regulation.
- Understanding these interactions requires accurate measurement of reaction kinetics.
- Current methods for kinetic analysis are often low-throughput and impractical.
Purpose of the Study:
- To develop a high-throughput methodology for measuring transient kinetic interactions using label-free biosensors.
- To enable mechanistic understanding of binding events relevant to drug discovery.
- To overcome limitations of existing low-throughput kinetic measurement techniques.
Main Methods:
- Utilized label-free biosensors for direct measurement of binding kinetics.
- Employed hydrodynamic dispersion modeling of analyte gradients.
- Applied quasi-steady-state boundary layer assumptions.
- Analyzed peptide-protein interactions using transition state theory and numerical simulations.
Main Results:
- Successfully developed a novel methodology for transient kinetic analysis with label-free biosensors.
- Validated the approach through thermodynamic analysis and numerical simulations.
- Demonstrated technical feasibility across a range of operating conditions.
Conclusions:
- The developed methodology provides a higher-throughput alternative for transient kinetic analyses.
- This approach supports mechanistic understanding of biological interactions.
- Enables further development for broader applications in life sciences and drug discovery.
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