Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Drug-Receptor Interactions01:29

Drug-Receptor Interactions

7.4K
Drug-receptor interaction describes the binding of receptors by drugs, but not all drug-receptor interactions result in activation and tissue response. For instance, the binding of agonists activates the receptor to generate a cellular reaction, while antagonists bind to receptors without causing their activation.
Several parameters, such as the drug's affinity for its receptor and its efficacy, which is its ability to activate the receptor, determine the drug's effect on the tissue....
7.4K
Drug-Receptor Interaction: Antagonist01:28

Drug-Receptor Interaction: Antagonist

5.0K
An antagonist is a drug that binds strongly to a receptor without activating it. An antagonist prevents other molecules, such as neurotransmitters or hormones, from binding to the receptor and triggering a cellular response. Such interaction effectively hinders the normal physiological processes mediated by the receptor, resulting in various pharmacological effects depending on the specific receptor targeted.
Antagonists can be classified as competitive or noncompetitive based on their...
5.0K
Drug-Receptor Interaction: Agonist01:25

Drug-Receptor Interaction: Agonist

4.1K
Agonists are drugs that interact with specific receptors in the body to produce a biological response. When an agonist binds to a receptor, it activates or enhances the receptor's function, leading to physiological effects. The interaction between agonist drugs and receptors is crucial for their therapeutic action in various medical treatments.
Agonists can bind to receptors in different ways. Some agonists bind directly to the receptor's active site, mimicking the endogenous...
4.1K
Quantitative Aspects of Drug-Receptor Interaction01:30

Quantitative Aspects of Drug-Receptor Interaction

1.7K
The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower...
1.7K
Molecular and Ionic Solids02:54

Molecular and Ionic Solids

20.0K
Crystalline solids are divided into four types: molecular, ionic, metallic, and covalent network based on the type of constituent units and their interparticle interactions.
Molecular Solids
Molecular crystalline solids, such as ice, sucrose (table sugar), and iodine, are solids that are composed of neutral molecules as their constituent units. These molecules are held together by weak intermolecular forces such as London dispersion forces, dipole-dipole interactions, or hydrogen bonds, which...
20.0K
Receptor-mediated Endocytosis01:39

Receptor-mediated Endocytosis

110.7K
Overview
110.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

<i>In Vitro</i> Evolution of the Adenosine A<sub>2A</sub> Receptor Based on an Antagonist Binding Using a Ribosome Display.

Journal of the American Chemical Society·2026
Same author

The role of the tryptophan-rich allosteric network and sodium egress in GPCR activation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Tandem Allosteric Effects of Reactant and Product that Promote Deacetylation Cycles in Sir2.

Journal of chemical information and modeling·2025
Same author

RNA Binding Mechanism of the FUS Zinc Finger in Concert with Its Flanking Intrinsically Disordered Region.

Journal of chemical information and modeling·2025
Same author

Precision spatiotemporal analysis of large-scale compound-protein interactions through molecular dynamics simulation.

PNAS nexus·2025
Same author

Protein folding, protein dynamics and the topology of self-motions.

Royal Society open science·2024
Same journal

tmGNN-XAI: An Explainable Graph Neural Network Tool for Predicting Electronic Properties of Transition Metal Complexes from SMILES.

Journal of chemical information and modeling·2026
Same journal

QSAR in the Browser: An Interactive Cheminformatics Web Application.

Journal of chemical information and modeling·2026
Same journal

FoldDoF: Utilizing the Primary Degrees of Freedom of Protein Backbone for Geometric Modeling and Generation.

Journal of chemical information and modeling·2026
Same journal

Derisking Affinity Optimization for Macrocycles and Cyclic Peptides: High-Precision Free Energy Simulations across Five Diverse Targets.

Journal of chemical information and modeling·2026
Same journal

An End-User Audit of Reproducibility, Data Leakage, and Overfitting of the Top-Ranked ADMET Prediction Models in TDC Leaderboards.

Journal of chemical information and modeling·2026
Same journal

PFASGroups: An Open-Source Framework for Automated Identification, Structural Classification, and Prioritization of Per- and Polyfluoroalkyl Substances.

Journal of chemical information and modeling·2026
See all related articles

Related Experiment Video

Updated: Jan 26, 2026

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

1.2K

Haptic-Assisted Interactive Molecular Docking Incorporating Receptor Flexibility.

Nick Matthews1, Akio Kitao2, Stephen Laycock1

  • 1School of Computing Sciences , University of East Anglia , Norwich Research Park , Norwich NR4 7TJ , United Kingdom.

Journal of Chemical Information and Modeling
|April 11, 2019
PubMed
Summary
This summary is machine-generated.

Haptic-assisted docking tools now model biomolecule flexibility for intuitive drug design. This innovation allows users to feel interaction forces, improving structure-based drug discovery by simulating conformational changes.

More Related Videos

Use of Viral Entry Assays and Molecular Docking Analysis for the Identification of Antiviral Candidates against Coxsackievirus A16
06:03

Use of Viral Entry Assays and Molecular Docking Analysis for the Identification of Antiviral Candidates against Coxsackievirus A16

Published on: July 15, 2019

8.3K
Adaptation of a Haptic Robot in a 3T fMRI
08:16

Adaptation of a Haptic Robot in a 3T fMRI

Published on: October 4, 2011

10.1K

Related Experiment Videos

Last Updated: Jan 26, 2026

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

1.2K
Use of Viral Entry Assays and Molecular Docking Analysis for the Identification of Antiviral Candidates against Coxsackievirus A16
06:03

Use of Viral Entry Assays and Molecular Docking Analysis for the Identification of Antiviral Candidates against Coxsackievirus A16

Published on: July 15, 2019

8.3K
Adaptation of a Haptic Robot in a 3T fMRI
08:16

Adaptation of a Haptic Robot in a 3T fMRI

Published on: October 4, 2011

10.1K

Area of Science:

  • Computational chemistry
  • Biophysics
  • Molecular modeling

Background:

  • Haptic-assisted docking tools enhance user intuition in molecular binding simulations.
  • Existing tools often omit receptor flexibility due to haptic refresh rate constraints (>500 Hz).

Purpose of the Study:

  • To develop a haptic-assisted docking tool, Haptimol FlexiDock, that models receptor conformational changes during ligand binding.
  • To maintain a high haptic refresh rate while incorporating receptor flexibility.

Main Methods:

  • Utilized the linear response method to model receptor flexibility.
  • Determined the variance-covariance matrix from molecular dynamics simulations of ligand-free receptors.
  • Employed eigenvector decomposition for rapid approximation of conformational response.

Main Results:

  • Haptimol FlexiDock successfully models receptor conformational response to ligand interaction forces.
  • The method maintains the required haptic refresh rate for smooth, stable force feedback.
  • Simulations on glutamine and maltose binding proteins showed good agreement with experimental movements.

Conclusions:

  • Haptimol FlexiDock accurately simulates ligand-induced receptor conformational changes.
  • The tool is particularly promising for advancing structure-based drug design.
  • This approach integrates molecular dynamics insights into interactive docking simulations.