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

Proteomics

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...

DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

You might also read

Related Articles

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

Sort by

Same author

Characterizing the Epidemiology of Influenza A Viruses at the Swine-Human Interface: Study Protocol of the PigFluCam+ Project in Cambodia.

JMIR research protocols·2026

Same author

Emergence of Escherichia coli Hybrid Pathotype ETEC/STEC: A Macroepidemiological Approach of Molecular Characterization in the United States Swine Population.

Transboundary and emerging diseases·2026

Same author

Distinct Plasmodium falciparum Erythrocyte Membrane Protein 1 Domain Cassette-Associated Antibody Gaps Specific to Cerebral Malaria and Severe Malarial Anemia.

The Journal of infectious diseases·2026

Same author

Infants under 24 months with severe malaria have a serological profile of active infection with Epstein Barr Virus.

The Journal of infectious diseases·2026

Same author

A combinatorial synthetic strategy for developing genome-editing protein-delivery agents targeting mouse retina.

Nature communications·2026

Same author

An outer membrane vesicle vaccine prevents lung pathology in a macaque model of pneumonic melioidosis.

Nature communications·2025

Same journal

Probabilistic RNA designability via interpretable ensemble approximation and dynamic decomposition.

Bioinformatics (Oxford, England)·2026

Same journal

Quantifying domain-specific relevance of computational biology Wikipedia articles using TF-IDF and cosine similarity.

Bioinformatics (Oxford, England)·2026

Same journal

GATSBI: improving context-aware protein embeddings through biologically motivated data splits.

Bioinformatics (Oxford, England)·2026

Same journal

BiMba: using Vision Mamba to predict protein sites that bind other proteins.

Bioinformatics (Oxford, England)·2026

Same journal

ProMeta: a meta-learning framework for robust disease diagnosis and prediction from plasma proteomics.

Bioinformatics (Oxford, England)·2026

Same journal

Is a Win-Win possible? Achieving pareto-optimal privacy-utility balance in fine-tuned genome language model embeddings against embedding reconstruction attacks.

Bioinformatics (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 8, 2026

A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection

A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection

Published on: June 15, 2018

High-throughput prediction of protein antigenicity using protein microarray data.

Christophe N Magnan¹, Michael Zeller, Matthew A Kayala

¹Institute for Genomics and Bioinformatics, School of Information and Computer Sciences, University of California, Irvine, CA 92697, USA.

Bioinformatics (Oxford, England)

|October 12, 2010

Summary

This summary is machine-generated.

A new homology-free method, ANTIGENpro, predicts protective antigens for vaccine development. It identifies potential antigens by analyzing antibody responses, aiding the discovery of novel vaccine targets.

More Related Videos

Extracellular Protein Microarray Technology for High Throughput Detection of Low Affinity Receptor-Ligand Interactions

Extracellular Protein Microarray Technology for High Throughput Detection of Low Affinity Receptor-Ligand Interactions

Published on: January 7, 2019

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Published on: August 2, 2015

Related Experiment Videos

Last Updated: Jun 8, 2026

A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection

A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection

Published on: June 15, 2018

Extracellular Protein Microarray Technology for High Throughput Detection of Low Affinity Receptor-Ligand Interactions

Extracellular Protein Microarray Technology for High Throughput Detection of Low Affinity Receptor-Ligand Interactions

Published on: January 7, 2019

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Published on: August 2, 2015

Area of Science:

Immunology
Vaccinology
Bioinformatics

Background:

Novel protective antigens are crucial for developing vaccines against current and future pathogens.
Existing computational methods rely on homology, limiting the discovery of truly novel antigens.
There is a need for homology-free approaches to screen proteomes for potential protective antigens.

Purpose of the Study:

To develop a homology-free computational method for predicting protective protein antigens.
To identify antigens that elicit a strong humoral immune response.

Main Methods:

Curated positive datasets of antigens from human immunoglobulin reactivity data and literature.
Trained a sequence-based prediction model, ANTIGENpro, using curated datasets.
Evaluated ANTIGENpro performance using cross-validation and external pathogen proteome data.

Main Results:

ANTIGENpro achieved 82% accuracy in classifying known protective antigens when trained on microarray data.
Cross-validation estimated the accuracy on the combined dataset at 76%.
The model demonstrated strong performance on an independent external dataset.

Conclusions:

ANTIGENpro is a novel, homology-free tool for predicting protective antigens.
The method aids in discovering new vaccine candidates by screening entire proteomes.
ANTIGENpro is available through the SCRATCH suite of predictors.