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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

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 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 the...

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 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.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...

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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Related Experiment Video

Updated: Jun 17, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

A new Lamarckian genetic algorithm for flexible ligand-receptor docking.

Jan Fuhrmann¹, Alexander Rurainski, Hans-Peter Lenhof

¹Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.

Journal of Computational Chemistry

|January 19, 2010

Summary

We developed a new Lamarckian genetic algorithm (LGA) for flexible ligand-receptor docking. This enhanced method efficiently handles complex molecules with many rotatable bonds, outperforming existing algorithms.

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Area of Science:

Computational chemistry
Molecular modeling
Bioinformatics

Background:

Flexible ligand-receptor docking is crucial for drug discovery.
Handling numerous degrees of freedom in molecular complexes presents a computational challenge.
Existing optimization methods may struggle with complex ligand-receptor interactions.

Purpose of the Study:

To introduce a novel hybrid algorithm for flexible ligand-receptor docking.
To improve the efficiency and accuracy of docking complex molecules.
To address the limitations of current stochastic optimization methods in handling high degrees of freedom.

Main Methods:

Developed a hybrid Lamarckian genetic algorithm (LGA) integrating a multi-deme approach.
Combined the LGA with a gradient-based local optimization method for molecular complexes.
Evaluated performance against non-gradient-based search heuristics using the Astex diverse set.

Main Results:

The hybrid LGA demonstrated superior performance compared to other stochastic optimization methods.
The novel approach achieved shorter run times.
Substantially improved docking results were observed, particularly for ligands with increased complexity and rotatable bonds.

Conclusions:

The new hybrid LGA is highly effective for flexible ligand-receptor docking.
The algorithm efficiently handles molecules with a large number of degrees of freedom.
This method offers a significant advancement for docking complex ligands with high efficiency.