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

The Two-State Receptor Model01:29

The Two-State Receptor Model

3.5K
The two-state receptor model explains a drug's interaction with receptors, such as G protein-coupled receptors and ligand-gated ion channels, to induce or inhibit a biological response. When no natural ligands are present, a receptor exists in an equilibrium of inactive (Ri) and active (Ra) conformations. The inactive form does not produce a response, while the active form generates a basal effect known as constitutive activity.
The binding affinity of a drug determines its interaction with...
3.5K
Ligand Binding Sites02:40

Ligand Binding Sites

11.9K
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...
11.9K
Ligand Binding Sites02:40

Ligand Binding Sites

6.0K
6.0K
G Protein-coupled Receptors01:15

G Protein-coupled Receptors

14.2K
G Protein-Coupled Receptors or GPCRs are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to sensory stimuli such as light, odors, hormones, cytokines, or neurotransmitters.
GPCRs are also called heptahelical, 7TM, or serpentine receptors, and consist of seven (H1-H7) transmembrane alpha-helices that span the bilayer to form a cylindrical core. The transmembrane helices are connected by three extracellular loops and three...
14.2K
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

7.4K
Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
7.4K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.4K
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...
4.4K

You might also read

Related Articles

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

Sort by
Same author

The V-ATPase/ATG16L1 axis drives membrane remodeling during epithelial morphogenesis.

Nature communications·2026
Same author

Lysosomal Profiling with LysoTracker for Quantitative Assessment of Cellular Senescence in Human Fibroblasts.

bioRxiv : the preprint server for biology·2026
Same author

Tolerance and growth outcomes in children diagnosed with cow's milk protein allergy and prescribed an extensively hydrolyzed casein formula (Damira 2000<sup>©</sup>) in Spain: The DELISA study.

Allergologia et immunopathologia·2026
Same author

Object Stitching by Clustering of Adjacent Regions for accurate quantification of three-dimensional tissues.

Journal of cell science·2025
Same author

Telmisartan is neuroprotective in a hiPSC-derived spinal microtissue model for C9orf72 ALS via inhibition of neuroinflammation.

Stem cell reports·2025
Same author

Cell proliferation and Notch signaling coordinate the formation of epithelial folds in the Drosophila leg.

Development (Cambridge, England)·2024
Same journal

Combinatorial multiomic analysis from a pedigree of Sox10Dom Hirschsprung mice identifies multiple high confidence candidate modifiers of Enteric Nervous System development.

PLoS computational biology·2026
Same journal

Extracting host-specific developmental signatures from longitudinal microbiome data.

PLoS computational biology·2026
Same journal

Population sparseness determines strength of Hebbian plasticity for maximal memory lifetime in associative networks.

PLoS computational biology·2026
Same journal

Predictive coding explains asymmetric connectivity in the brain: A neural network study.

PLoS computational biology·2026
Same journal

Zooplankton feeding behavioral signatures in the morphology of macroscale prey spatial distribution.

PLoS computational biology·2026
Same journal

A brief overview of 20 years of neuroscience in PLoS Computational Biology.

PLoS computational biology·2026
See all related articles

Related Experiment Video

Updated: May 5, 2026

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps
09:30

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps

Published on: July 19, 2024

2.9K

A tunable coarse-grained model for ligand-receptor interaction.

Teresa Ruiz-Herrero1, Javier Estrada, Raúl Guantes

  • 1Departamento de Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid, Madrid, España.

Plos Computational Biology
|November 19, 2013
PubMed
Summary
This summary is machine-generated.

A new coarse-grained model simplifies ligand-receptor interactions, enabling statistical analysis of drug interactions and optimization of targeted therapies for diseases with cell-surface receptor over-expression.

More Related Videos

A BW Reporter System for Studying Receptor-Ligand Interactions
06:05

A BW Reporter System for Studying Receptor-Ligand Interactions

Published on: January 7, 2019

8.5K
Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
10:33

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors

Published on: October 26, 2015

10.9K

Related Experiment Videos

Last Updated: May 5, 2026

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps
09:30

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps

Published on: July 19, 2024

2.9K
A BW Reporter System for Studying Receptor-Ligand Interactions
06:05

A BW Reporter System for Studying Receptor-Ligand Interactions

Published on: January 7, 2019

8.5K
Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
10:33

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors

Published on: October 26, 2015

10.9K

Area of Science:

  • Biophysics
  • Computational Biology
  • Pharmacology

Background:

  • Cell-surface receptors are primary therapeutic drug targets.
  • Understanding ligand-receptor interactions is crucial for drug design.
  • Current models face limitations in capturing spatial constraints or statistical analysis.

Purpose of the Study:

  • To develop a generic coarse-grained model for ligand-receptor systems.
  • To account for spatial characteristics while enabling statistical analysis.
  • To optimize chimeric compounds for targeted drug delivery.

Main Methods:

  • Developed a generic coarse-grained model for ligand-receptor interactions.
  • Incorporated essential spatial characteristics into the model.
  • Utilized molecular dynamics simulations for chimeric ligand analysis.

Main Results:

  • The model captures key ligand-receptor kinetics, including diffusion-dependent affinity and dissociation rates.
  • Characterized chimeric compounds for selective targeting of unhealthy cells.
  • Optimized chimeric ligand selectivity based on receptor abundance, affinity, and linker length.

Conclusions:

  • The coarse-grained model provides a valuable approximation for complex ligand-receptor systems.
  • This approach facilitates the study of spatial constraints in drug-receptor interactions.
  • The model aids in optimizing targeted therapies for diseases with receptor over-expression.