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

Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

2.0K
Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...
2.0K
T Cell Activation and Clonal Selection01:22

T Cell Activation and Clonal Selection

17.1K
T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection.
Naive T cells that have not yet encountered an antigen express two primary CD...
17.1K
The Two-State Receptor Model01:29

The Two-State Receptor Model

3.4K
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...
3.4K

You might also read

Related Articles

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

Sort by
Same author

Structural and genetic basis for broad antibody recognition of a protective epitope on orthomarburgvirus GP2.

Cell reports·2026
Same author

HLA micropolymorphisms confine neoantigen conformational adaptability and guide T cell receptor selectivity.

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

Dynamic <i>S</i>-Acylation of GSDMA Regulates Pyroptosis.

ACS chemical biology·2026
Same author

Dynamic Allostery in T Cell Receptor Specificity: A Role for Peptides and MHC Polymorphisms in Allosterically Tuning Immune Recognition.

BioEssays : news and reviews in molecular, cellular and developmental biology·2026
Same author

TEpiNom: A computational framework integrating population data to prioritize Plasmodium falciparum T cell epitopes.

Vaccine·2026
Same author

Duration of Initial Viremia Modulates Functional Properties of HIV-specific T Cell Receptors.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Mar 22, 2026

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens
09:53

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens

Published on: February 6, 2017

11.9K

Computational Modeling of T Cell Receptor Complexes.

Timothy P Riley1,2, Nishant K Singh1,2, Brian G Pierce3

  • 1Department of Chemistry and Biochemistry, University of Notre Dame, 251 Nieuwland Science Hall, Notre Dame, IN, 46556, USA.

Methods in Molecular Biology (Clifton, N.J.)
|April 21, 2016
PubMed
Summary

We developed a fast computational method to model T-cell receptor (TCR) and peptide/MHC complexes. This approach aids in understanding immune responses and designing new vaccines and therapeutics.

Keywords:
DockingLoop modelingPeptide/MHCRosettaStructureT cell receptor

More Related Videos

A TIRF Microscopy Technique for Real-time, Simultaneous Imaging of the TCR and its Associated Signaling Proteins
16:10

A TIRF Microscopy Technique for Real-time, Simultaneous Imaging of the TCR and its Associated Signaling Proteins

Published on: March 22, 2012

24.5K
Visualizing Surface T-Cell Receptor Dynamics Four-Dimensionally Using Lattice Light-Sheet Microscopy
09:24

Visualizing Surface T-Cell Receptor Dynamics Four-Dimensionally Using Lattice Light-Sheet Microscopy

Published on: January 30, 2020

8.7K

Related Experiment Videos

Last Updated: Mar 22, 2026

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens
09:53

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens

Published on: February 6, 2017

11.9K
A TIRF Microscopy Technique for Real-time, Simultaneous Imaging of the TCR and its Associated Signaling Proteins
16:10

A TIRF Microscopy Technique for Real-time, Simultaneous Imaging of the TCR and its Associated Signaling Proteins

Published on: March 22, 2012

24.5K
Visualizing Surface T-Cell Receptor Dynamics Four-Dimensionally Using Lattice Light-Sheet Microscopy
09:24

Visualizing Surface T-Cell Receptor Dynamics Four-Dimensionally Using Lattice Light-Sheet Microscopy

Published on: January 30, 2020

8.7K

Area of Science:

  • Immunology
  • Structural Biology
  • Computational Biology

Background:

  • T-cell receptor (TCR) recognition of peptide/MHC complexes is crucial for adaptive immunity.
  • Understanding TCR-pMHC interactions informs vaccine design and therapeutic strategies.
  • Experimental structure determination of TCR-pMHC complexes is often challenging.

Purpose of the Study:

  • To present a rapid computational approach for modeling T-cell receptor-peptide/MHC complexes.
  • To leverage conserved structural features of known TCR-pMHC complexes for predictive modeling.
  • To provide a foundation for structure-based hypotheses in TCR recognition.

Main Methods:

  • Utilized the Rosetta software suite and PyRosetta scripting environment.
  • Developed a modeling approach based on conserved TCR binding site and docking modes.
  • Validated the method by recapitulating known structural changes in TCR-pMHC complexes.

Main Results:

  • The method successfully models TCR-pMHC complexes, capturing binding angles and structural details.
  • Identified areas requiring parameter refinement and alternative modeling choices.
  • Generated high-quality models despite the sensitivity of TCRs to structural perturbations.

Conclusions:

  • The developed rapid modeling approach provides valuable insights into TCR-pMHC interactions.
  • This computational tool can accelerate structure-based hypothesis generation for TCR recognition.
  • The method supports the rational design of vaccines and immunotherapeutics.