Receptor Ligand Kinetics
Receptor Ligand Kinetics - Related Videos
14:09
Fluorescence Biomembrane Force Probe: Concurrent Quantitation of Receptor-ligand Kinetics and Binding-induced Intracellular Signaling on a Single Cell
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Cited by 55 •
2015
We describe a technique for concurrently measuring force-regulated single receptor-ligand binding kinetics and real-time imaging of calcium signaling in a single T lymphocyte.
12:38
Titration ELISA as a Method to Determine the Dissociation Constant of Receptor Ligand Interaction
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Cited by 29 •
2018
A detailed protocol to perform a titration ELISA is described. Moreover, a novel algorithm is presented to evaluate titration ELISAs and to obtain a dissociation constant of binding of a soluble ligand to a microtiter plate-immobilized receptor.
05:57
Biomembrane Force Probe to Quantitate Receptor-Ligand Interactions
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2025
In this video, biomembrane force probes (BFPs) are used to measure the forces between receptors and ligands. This technique can detect interactions by monitoring the pressure needed to break the bonds between the pMHC conjugated on the probe beads and the TCRs on the target cells.
06:27
Competitive Binding Assay to Identify Compounds Disrupting Receptor-Ligand Interactions
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2025
In this video, we describe a flow cytometry-based competitive binding assay to detect the interactions between the CXC Chemokine Receptor 4 (CXCR4) and its fluorescently-labeled natural ligand CXC Chemokine Ligand 12 (CXCL12), in the presence of a CXCR4-targeting small molecule. Incubating CXCR4-expressing cells with lower small molecule concentrations allows CXCR4-CXCL12 binding to some extent, which progressively declines upon a gradual increase in small molecule concentrations.
13:57
Bio-layer Interferometry for Measuring Kinetics of Protein-protein Interactions and Allosteric Ligand Effects
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Cited by 117 •
2014
The protocols here describe kinetic assays of protein-protein interactions with Bio-layer Interferometry. F-type ATP synthase, which is involved in cellular energy metabolism, can be inhibited by its ε subunit in bacteria. We have adapted Bio-layer Interferometry to study interactions of the catalytic complex with ε’s inhibitory C-terminal domain.
FAQs
The association rate constant, kon, describes how quickly binding develops, whereas the dissociation rate constant, koff, describes how quickly the ligand is released. Together, they determine how rapidly a receptor engages a ligand and how long that interaction persists. These timing properties help predict signal duration and guide systems that require rapid recognition or controlled release.
A binding measurement alone cannot fully describe the behavior of an interaction over time. Association and dissociation rates provide separate information about engagement and persistence, while their ratio determines Kd, the equilibrium dissociation constant. Considering all three parameters lets researchers compare candidate ligands using both affinity and dynamic behavior rather than treating binding as simply present or absent.
Changing the balance of association and dissociation behavior can alter how strongly and how long an engineered system responds. These parameters help researchers optimize molecular recognition, distinguish among candidate ligands, and tune response duration. In bioengineering, that control supports designs intended to improve sensitivity, increase selectivity, or produce a more deliberately regulated interaction.
Affinity, commonly represented by Kd, summarizes the equilibrium relationship derived from kon and koff, but it does not replace information about the individual rates. Kinetic analysis reveals whether an interaction forms quickly, releases quickly, or persists over time. That distinction matters when two candidate ligands must be evaluated for performance in a time-dependent engineered application.
A kinetics workflow follows receptor-ligand binding and release over time, allowing researchers to determine association and dissociation behavior. The resulting estimates of kon and koff can then be used to obtain Kd and compare ligand performance. This approach provides information about both interaction strength and temporal behavior, which is useful when selecting or optimizing molecular recognition components.
Bioengineers apply these measurements when designing biosensors, targeted therapeutics, engineered cell systems, and receptor-functionalized biomaterials. The parameters help predict signal duration, optimize recognition, and regulate how engineered systems respond to ligands. They also support comparisons among candidate molecules, making kinetic information relevant to both molecular design and the performance of larger bioengineered platforms.