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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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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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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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Physiological Pharmacokinetic Models: Assumption with Protein Binding01:13

Physiological Pharmacokinetic Models: Assumption with Protein Binding

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Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
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Nonlinear Pharmacokinetics: Bioavailability and Protein-Drug Binding01:22

Nonlinear Pharmacokinetics: Bioavailability and Protein-Drug Binding

219
When a drug follows nonlinear pharmacokinetics, its bioavailability, the amount of the drug that reaches the systemic circulation, can change with different doses. This is due to the presence of a saturable pathway. The pathway becomes saturated as the drug concentration increases, decreasing the absorption rate. Consequently, the drug's bioavailability may be lower than expected at higher doses.
To quantify the extent of bioavailability, pharmacologists often use a parameter called .
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Introduction to Enzyme Kinetics01:19

Introduction to Enzyme Kinetics

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Enzyme kinetics studies the rates of biochemical reactions. Scientists monitor the reaction rates for a particular enzymatic reaction at various substrate concentrations. Additional trials with inhibitors or other molecules that affect the reaction rate may also be performed.
The experimenter can then plot the initial reaction rate or velocity (Vo) of a given trial against the substrate concentration ([S]) to obtain a graph of the reaction properties. For many enzymatic reactions involving a...
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Updated: Aug 5, 2025

Bio-layer Interferometry for Measuring Kinetics of Protein-protein Interactions and Allosteric Ligand Effects
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Predicting Biomolecular Binding Kinetics: A Review.

Jinan Wang1, Hung N Do1, Kushal Koirala1

  • 1Center for Computational Biology and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas 66047, United States.

Journal of Chemical Theory and Computation
|March 29, 2023
PubMed
Summary
This summary is machine-generated.

Understanding biomolecular binding kinetics, like association and dissociation rates, is key for drug design. Computational modeling advances help predict these rates, improving therapeutic efficacy.

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Area of Science:

  • Biochemistry and computational chemistry, focusing on molecular interactions.

Background:

  • Biomolecular binding kinetics (association and dissociation rates) are crucial for drug development.
  • Drug residence time, linked to dissociation rates, often predicts efficacy better than binding affinity.
  • Existing computational methods include QSKR, MD simulations, enhanced sampling, and ML.

Purpose of the Study:

  • To review recent advancements in computational modeling of biomolecular binding kinetics.
  • To provide an outlook on future improvements in predicting binding kinetic rates.

Main Methods:

  • Review of quantitative structure-kinetic relationship (QSKR) models.
  • Analysis of Molecular Dynamics (MD) simulations and enhanced sampling techniques.
  • Exploration of Machine Learning (ML) approaches for kinetic rate prediction.

Main Results:

  • Recent computational models show promise in predicting binding and dissociation rates.
  • These models aid in understanding complex biomolecular interaction mechanisms.
  • Advances facilitate more accurate prediction of drug molecule residence time.

Conclusions:

  • Computational modeling is rapidly evolving for predicting biomolecular binding kinetics.
  • Future improvements will enhance the design of more effective therapeutics.
  • Accurate kinetic rate prediction is vital for optimizing drug efficacy and safety.