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The Equilibrium Binding Constant and Binding Strength

The Equilibrium Binding Constant and Binding Strength

The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:

The Equilibrium Binding Constant and Binding Strength

The Equilibrium Binding Constant and Binding Strength

Ligand Binding and Linkage

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked. In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...

Cooperative Allosteric Transitions

Cooperative Allosteric Transitions

Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...

Conserved Binding Sites

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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Conserved Binding Sites

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Related Experiment Video

Updated: Apr 27, 2026

Comparing the Affinity of GTPase-binding Proteins using Competition Assays

Comparing the Affinity of GTPase-binding Proteins using Competition Assays

Published on: October 8, 2015

Pairwise binding competition experiments for sorting hub-protein/effector interaction hierarchy and simultaneous

Enrico Ravera, Azzurra Carlon, Giacomo Parigi

Journal of Biomolecular NMR

|July 13, 2014

Summary

This summary is machine-generated.

Nuclear Magnetic Resonance (NMR) experiments reveal protein binding hierarchies in complex biological networks. This method quantizes binding affinities and complex concentrations, aiding in understanding signaling pathways and developing new therapeutic strategies.

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Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

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Published on: March 3, 2015

Area of Science:

Biochemistry
Chemical Biology
Systems Biology

Background:

Protein-protein interactions are fundamental to biological signaling networks.
Understanding competition among binding partners is crucial for deciphering information flow and disease mechanisms.
Altered binding affinities or partner concentrations can lead to pathological pathway alterations.

Purpose of the Study:

To extend pairwise competition Nuclear Magnetic Resonance (NMR) experiments for analyzing complex biological interaction networks.
To determine the ratios of equilibrium constants for multiple protein binding partners.
To calculate the concentrations of all possible protein complexes in solution.

Main Methods:

Utilizing pairwise competition NMR experiments, building upon the approach by Smith and Ikura (Nat Chem Biol 10:223–230, 2014).
Analyzing simultaneous equilibria of proteins with multiple binding partners.
Quantifying binding hierarchies and relative affinities.

Main Results:

Demonstrated how pairwise competition NMR experiments can determine the ratios between equilibrium constants for multiple binding partners.
Enabled the calculation of concentrations for all possible protein complexes when partner concentrations are known.
Provided a quantitative framework for understanding complex protein interaction networks.

Conclusions:

Pairwise competition NMR is a powerful tool for elucidating complex biological interaction networks.
Knowledge of binding hierarchies and complex concentrations can inform new therapeutic strategies.
This approach offers a quantitative method to study competitive protein binding in biological systems.