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

Hybridoma Technology

Hybridoma Technology

Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
Hybridoma Selection
Commonly used fusion techniques — electroporation,...

You might also read

Related Articles

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

Sort by

Same author

Uncovering the cytogenetic hallmarks of resident and expanded natural killer cells from patients with acquired aplastic anemia.

Scientific reports·2026

Same author

A dataset of small protein conformational ensembles from all-atom molecular dynamics simulations.

Scientific data·2026

Same author

Multilevel Analysis of Electrochemically Mediated Methanolysis of Poly(ethylene terephthalate) (PET).

Environmental science & technology·2026

Same author

Randomized Controlled Trial of Individualized Intervention for Frailty Reversal in Older Patients With Nondialysis CKD.

Kidney international reports·2026

Same author

Quantifying Deep-Level Defects-Dominated Degradation for Commercially Viable Perovskite Solar Cells.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

Long-term sero-epidemiological trends of Nine respiratory pathogens in a predominantly pediatric population in Southwest China: a multicenter retrospective study (2019-2023).

BMC infectious diseases·2026

Search research articles

Related Experiment Video

Updated: Mar 26, 2026

Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope

Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope

Published on: March 24, 2017

A novel conformational B-cell epitope prediction method based on mimotope and patch analysis.

Pingping Sun¹, Jialiang Qi², Yizhu Zhao²

¹School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China; National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun 130024, China; Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun 130117, China.

Journal of Theoretical Biology

|January 26, 2016

Summary

A new computational method predicts B-cell epitopes using amino acid pairs and surface patch analysis. This approach improves upon existing methods for identifying key regions on antigens for vaccine development.

Keywords:

Amino acids pairs Epitope prediction Mimotope Patch

More Related Videos

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

Development of a Colloidal Gold-based Immunochromatographic Test Strip for Detection of Cetacean Myoglobin

Development of a Colloidal Gold-based Immunochromatographic Test Strip for Detection of Cetacean Myoglobin

Published on: July 13, 2016

Related Experiment Videos

Last Updated: Mar 26, 2026

Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope

Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope

Published on: March 24, 2017

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

Development of a Colloidal Gold-based Immunochromatographic Test Strip for Detection of Cetacean Myoglobin

Development of a Colloidal Gold-based Immunochromatographic Test Strip for Detection of Cetacean Myoglobin

Published on: July 13, 2016

Area of Science:

Immunology
Bioinformatics
Computational Biology

Background:

B-cell epitopes are crucial for vaccine design, stimulating humoral immune responses.
Experimental epitope identification is time-consuming and costly.
Computational methods offer a faster, more cost-effective alternative for epitope prediction.

Purpose of the Study:

To develop a novel computational method for predicting B-cell epitopes.
To utilize amino acid pair and surface patch analysis for improved epitope prediction.
To evaluate the performance of the proposed method against existing techniques.

Main Methods:

Antigen surfaces are divided into overlapping patches using radius (R) and number (N).
Epitope prediction is performed using Amino Acid Pairs (AAPs) derived from mimotopes and surface patches.
The method was tested on 39 cases.

Main Results:

The proposed method achieved a mean sensitivity of 0.53, specificity of 0.77, accuracy (ACC) of 0.75, and F-measure of 0.45.
Demonstrated improved sensitivity compared to mimotope-based, patch-based, and other prediction methods.
Successfully applied patch and AAP analysis for conformational B-cell epitope prediction.

Conclusions:

The novel method effectively predicts conformational B-cell epitopes using patch and AAP analysis.
This approach offers a promising advancement in computational epitope prediction for vaccine design.
The findings support the utility of integrating surface patch and AAP analysis in epitope prediction tools.