Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Antigens Involved in Adaptive Immunity

Antigens Involved in Adaptive Immunity

An antigen is any substance the immune system identifies as foreign and potentially harmful to the body, prompting an immune response. Antigens have two functional properties: immunogenicity and reactivity. Immunogenicity is the ability of an antigen to stimulate a specific immune response. At the same time, reactivity describes the antigen's ability to react with the cells and antibodies produced in response to it.
Complete Antigens
Complete antigens possess both immunogenicity and...

Antigen Processing Pathways

Antigen Processing Pathways

MHC molecules are key players in the immune response, enabling T cells to recognize and respond to specific antigens. They are present on the surface of all nucleated cells in the body and are instrumental in presenting antigens to T cells and activating them. T cells recognize the MHC-antigen complex and initiate an immune response. MHC class I and MHC class II are two main types of MHC molecules, each associated with a distinct antigen processing pathway.
MHC Class I: Presenting Endogenous...

You might also read

Related Articles

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

Sort by

Same author

Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-dimensional optimization.

Nature communications·2025

Same author

Author Correction: Computer-assisted quantification of motile and invasive capabilities of cancer cells.

Scientific reports·2025

Same author

Selective inhibition of Mycobacterium tuberculosis GpsI unveils a novel strategy to target the RNA metabolism.

Nucleic acids research·2025

Same author

Discovery of 1,3,4-Oxadiazin-5-One Derivative CJ1-34 as a Partial ATP Synthase Inhibitor for CNS Applications.

Chemistry (Weinheim an der Bergstrasse, Germany)·2025

Same author

Simple User-Friendly Reaction Format.

Molecular informatics·2025

Same author

Author Correction: Prospective de novo drug design with deep interactome learning.

Nature communications·2025

Same journal

SpaceExpander: An Automated System for Drafting Markush Claims to Expand Chemical Space.

Molecular informatics·2026

Same journal

A Structure-Informed Atlas of Venom-Derived Peptides Reveals the Organization of Chemical Space.

Molecular informatics·2026

Same journal

ConGen: Targeted Molecule Generation Through Contrastive Learning and Latent Optimization.

Molecular informatics·2026

Same journal

Novel Molecules Generation Using Graph Generative Adversarial Networks.

Molecular informatics·2026

Same journal

An Attention-Driven Graph Transformer With Nonlinear Modeling and Neuro-Fuzzy Fusion for High-Order Toxic Molecular Graph Learning.

Molecular informatics·2026

Same journal

Molecular Modeling and Chemoinformatics in Ukraine.

Molecular informatics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 17, 2026

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

Published on: March 25, 2014

Computational Resources for MHC Ligand Identification.

Christian P Koch¹, Max Pillong¹, Jan A Hiss¹

¹ETH Zürich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Wolfgang-Pauli-Str. 10, 8093 Zürich, Switzerland.

Molecular Informatics

|August 3, 2016

Summary

This summary is machine-generated.

Rational design of immunomodulatory peptides is now feasible due to advances in major histocompatibility complex (MHC) research and computational predictions. Proteome-derived peptides and computational vaccinology will drive future vaccine development.

Keywords:

Bioinformatics Epitope Immunology Major histocompatibility complex Peptide design Prediction Vaccine

More Related Videos

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Published on: October 15, 2021

Use of Single Chain MHC Technology to Investigate Co-agonism in Human CD8+ T Cell Activation

Use of Single Chain MHC Technology to Investigate Co-agonism in Human CD8+ T Cell Activation

Published on: February 28, 2019

Related Experiment Videos

Last Updated: Mar 17, 2026

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes

Published on: March 25, 2014

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Published on: October 15, 2021

Use of Single Chain MHC Technology to Investigate Co-agonism in Human CD8+ T Cell Activation

Use of Single Chain MHC Technology to Investigate Co-agonism in Human CD8+ T Cell Activation

Published on: February 28, 2019

Area of Science:

Immunology
Computational Biology
Biotechnology

Background:

Major histocompatibility complex (MHC) molecules present peptides to immune cells, mediating immune responses.
High-throughput screening and computational methods have advanced the identification of functional MHC modulators.
Rational design of immunomodulatory peptides is becoming increasingly feasible.

Purpose of the Study:

To review the molecular mechanisms of MHC-mediated immune responses.
To present emerging computational approaches in MHC ligand prediction and design.
To provide an overview of available computational resources for peptide design.

Main Methods:

Review of molecular mechanisms of MHC-mediated immunity.
Presentation of computational biotechnology approaches for MHC ligand prediction.
Compilation of publicly available computational resources.

Main Results:

Advances in high-throughput screening and computational prediction enable rational design of immunomodulatory peptides.
Proteome-derived peptides and computational 'reverse vaccinology' are key for future vaccine design.
A range of computational tools and resources are available for designing peptidic MHC ligands.

Conclusions:

The integration of high-throughput data and computational methods is revolutionizing immunomodulatory peptide design.
Computational approaches, including reverse vaccinology, are crucial for next-generation vaccine development.
Accessible computational resources facilitate the prediction and design of novel peptidic MHC ligands.