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Cross-reactivity

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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...

Diversity of Antigen Receptors

Diversity of Antigen Receptors

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...

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.
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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 prediction of multiple antigen epitopes.

Rajalakshmi Viswanathan¹, Moshe Carroll¹, Alexandra Roffe²

¹Department of Chemistry and Biochemistry, Yeshiva College, New York, NY 10033, United States.

Bioinformatics (Oxford, England)

|September 13, 2024

Summary

We developed ISPIPab, a novel computational tool for predicting antigen epitopes, improving accuracy for vaccine design and diagnostics. This method combines multiple approaches to identify known and novel epitopes effectively.

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Published on: March 24, 2017

Area of Science:

Immunoinformatics
Computational Biology
Biotechnology

Background:

Accurate antigen epitope identification is crucial for vaccine design, diagnostics, and drug development.
Experimental epitope determination is labor-intensive and costly, necessitating computational solutions.
Existing computational epitope prediction tools have limitations in accuracy and applicability.

Purpose of the Study:

To develop an improved computational method for predicting antigen epitopes.
To enhance the accuracy and scope of epitope prediction beyond current state-of-the-art methods.

Main Methods:

Introduction of ISPIPab, a novel antigen epitope prediction program.
Integration of two feature-based methods and a docking-based method within ISPIPab.
Application of hierarchical clustering in conjunction with the prediction algorithm.

Main Results:

ISPIPab demonstrated superior performance compared to individual constituent methods.
ISPIPab outperformed other state-of-the-art epitope prediction tools.
The combined approach successfully identified known epitopes and revealed novel potential targets.

Conclusions:

ISPIPab offers a significant advancement in computational epitope prediction.
The tool aids in identifying both established and novel epitopes for further research.
This approach enhances medical applications such as vaccine development and immunodiagnostics.