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Ligand Binding Sites

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...

Ligand Binding Sites

Ligand Binding Sites

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...

Ligand Binding and Linkage

Ligand Binding and Linkage

Spontaneity

Spontaneity

A spontaneous process is one that occurs naturally under certain conditions. A nonspontaneous process, on the other hand, will not take place unless it is “driven” by the continual input of energy from an external source. Processes have a natural tendency to occur in one direction under a given set of conditions. Water will naturally flow downhill (spontaneous process), but uphill flow (nonspontaneous process) requires outside intervention such as the use of a pump. Iron exposed to...

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:

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Updated: Jan 30, 2026

Method for Efficient Refolding and Purification of Chemoreceptor Ligand Binding Domain

Method for Efficient Refolding and Purification of Chemoreceptor Ligand Binding Domain

Published on: December 12, 2017

How Effectively Can Adaptive Sampling Methods Capture Spontaneous Ligand Binding?

Robin M Betz^1,2,3,4,5, Ron O Dror^1,2,3,4,5

¹Biophysics Program , Stanford University , Stanford , California 94305 , United States.

Journal of Chemical Theory and Computation

|January 16, 2019

Summary

This summary is machine-generated.

Adaptive sampling simulations improve the identification of drug binding sites and pathways, but do not accelerate reaching the final bound pose compared to traditional molecular dynamics (MD) simulations.

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Area of Science:

Computational chemistry
Biophysics
Drug discovery

Background:

Molecular dynamics (MD) simulations are crucial for understanding drug-target interactions.
Ligand binding often occurs on timescales inaccessible to standard MD.
Adaptive sampling offers a potential solution for simulating slow binding events.

Purpose of the Study:

To analyze the performance of adaptive sampling for ligand-protein binding.
To evaluate methods that do not require prior knowledge of the binding site or pose.
To compare adaptive sampling with traditional MD for realistic drug discovery systems.

Main Methods:

Outlined existing adaptive sampling methods for ligand binding.
Introduced improvements to adaptive sampling, focusing on unknown binding sites.
Compared adaptive sampling against long, traditional MD simulations.

Main Results:

Adaptive sampling did not efficiently reach the bound pose compared to traditional MD.
Adaptive sampling identified multiple potential binding sites more efficiently.
Adaptive sampling provided better characterization of binding pathways.

Conclusions:

Protein-ligand binding presents an exploration-exploitation dilemma for adaptive sampling.
Current adaptive sampling methods overly favor exploration, neglecting exploitation of discovered states.
Future research should focus on balancing exploration and exploitation in adaptive sampling.