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Related Concept Videos

The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

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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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Ligand Binding Sites02:40

Ligand Binding Sites

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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...
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Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

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Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
Indirect methods involve isolating the bound drug from its free form in biological samples such as blood, serum, or plasma. These techniques aim to measure the percentage of drugs bound to proteins. Equilibrium dialysis is a commonly used method where the free drug concentration at equilibrium is measured by separating the bound...
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Protein-Drug Binding: Mechanism and Kinetics01:16

Protein-Drug Binding: Mechanism and Kinetics

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Protein-drug binding refers to the interaction between drugs and proteins within the body. This binding process can occur intracellularly, involving drug interactions with enzymes or receptors within cells, or extracellularly, involving plasma proteins in the blood.
Various forces drive these interactions, including hydrogen bonds, hydrophobic interactions, ionic bonds, electrostatic interactions, and van der Waals forces. These bonds enable drugs to bind to specific sites on proteins,...
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Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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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...
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Conserved Binding Sites01:49

Conserved Binding Sites

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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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Updated: Aug 16, 2025

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

Published on: June 20, 2025

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Advances in computational methods for ligand binding kinetics.

Farzin Sohraby1, Ariane Nunes-Alves1

  • 1Institute of Chemistry, Technische Universität Berlin, 10623 Berlin, Germany.

Trends in Biochemical Sciences
|December 24, 2022
PubMed
Summary
This summary is machine-generated.

Computational methods can predict drug binding kinetics and efficacy. This review compares techniques like enhanced sampling and machine learning for insights into protein-drug interactions and resistance.

Keywords:
binding pathwaysdrug binding kineticsenhanced samplingkinasemolecular dynamics simulationstrypsin

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Area of Science:

  • Computational chemistry
  • Pharmacology
  • Biophysics

Background:

  • Drug efficacy correlates with binding kinetic parameters.
  • Computational methods are increasingly used to predict these parameters.
  • Understanding protein-drug binding mechanisms is crucial for drug development.

Purpose of the Study:

  • To review and compare recent computational methods for predicting binding kinetic rates.
  • To analyze methods applied to trypsin-benzamidine and kinase-inhibitor systems.
  • To highlight computationally efficient methods and error reduction strategies.

Main Methods:

  • Enhanced sampling in molecular dynamics simulations.
  • Machine learning approaches.
  • Comparative analysis of prediction accuracy and computational cost.

Main Results:

  • Computational methods can predict kinetic rates and residence times.
  • These methods reveal factors influencing selectivity and drug resistance.
  • Identified computationally efficient methods for kinetic rate prediction.

Conclusions:

  • Computational methods offer valuable insights into protein-drug binding kinetics.
  • Enhanced sampling and machine learning are powerful tools for drug discovery.
  • Future work should focus on reducing computational time and prediction errors.