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Related Concept Videos

Ligand Binding Sites02:40

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 Sites02:40

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 Linkage00:49

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 Sites01:49

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...
Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
The Equilibrium Binding Constant and Binding Strength02:18

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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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
08:49

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

Published on: June 20, 2025

An improved adaptive genetic algorithm for protein-ligand docking.

Ling Kang1, Honglin Li, Hualiang Jiang

  • 1Department of Computer Science and Engineering, School of Electronic and Information Engineering, Dalian University of Technology, Dalian, 116023, China.

Journal of Computer-Aided Molecular Design
|September 9, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a novel molecular docking optimization model using an improved adaptive genetic algorithm. The method achieves rapid convergence and high accuracy, with docking poses within 2.0 Å RMSD for over 66% of protein-ligand complexes.

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Area of Science:

  • Computational chemistry and drug discovery.
  • Bioinformatics and structural biology.

Background:

  • Molecular docking is crucial for identifying drug candidates.
  • Existing methods face challenges in speed and accuracy for flexible docking.

Purpose of the Study:

  • To develop a fast and accurate flexible molecular docking method.
  • To improve optimization efficiency and convergence speed in docking.

Main Methods:

  • An improved adaptive genetic algorithm incorporating multi-population strategy, entropy-based search, and quasi-exact penalty.
  • A novel iteration scheme for accelerated optimization and steady convergence.

Main Results:

  • The method achieved high accuracy, with over 66.2% of docked poses within 2.0 Å root-mean-square deviation (RMSD) of X-ray structures on the GOLD dataset (134 complexes).
  • Docking time demonstrated a near-linear relationship with the number of ligand rotatable bonds, indicating efficiency.

Conclusions:

  • The proposed optimization model and fast flexible docking method offer a significant advancement in computational drug discovery.
  • The algorithm's speed, accuracy, and steady convergence make it a promising tool for large-scale virtual screening.