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B Cell Activation and Differentiation

B Cell Activation and Differentiation

The adaptive immune response, a sophisticated defense mechanism, relies on the activation and differentiation of B lymphocytes, or B cells. These processes enable our bodies to mount a tailored response against specific pathogens such as bacteria, free virus particles, toxins, and parasites.
When naive B cells encounter a specific antigen that can bind to the B cell receptor (BCR) on their surface, they undergo sensitization to respond to the antigen's presence. Sensitization begins with...

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...

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Updated: Apr 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

Databases for B-cell epitopes.

Juan Liu¹, Wen Zhang

¹School of Computer, Wuhan University, No. 37, Luoyu Road, Wuchang, Wuhan, 430072, China, liujuan@whu.edu.cn.

Methods in Molecular Biology (Clifton, N.J.)

|July 23, 2014

Summary

This summary is machine-generated.

Developing computational models for B-cell epitope prediction requires sufficient epitope data. This chapter reviews essential B-cell epitope databases and dataset compilation for building accurate prediction tools.

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Last Updated: Apr 26, 2026

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

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Published on: March 24, 2017

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

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Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

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Published on: March 15, 2019

Area of Science:

Immunoinformatics
Computational Biology
Vaccine Design

Background:

B-cell epitope identification is crucial for vaccine development, diagnostics, and antibody production.
Experimental epitope localization is resource-intensive, driving the need for computational methods.
Accurate B-cell epitope prediction models rely on comprehensive datasets.

Purpose of the Study:

To provide an overview of key B-cell epitope databases.
To guide researchers on compiling datasets for B-cell epitope prediction tools.
To facilitate the development of robust immunoinformatics prediction models.

Main Methods:

Literature review of established B-cell epitope databases.
Discussion of strategies for dataset compilation.
Overview of B-cell epitope data requirements for predictive modeling.

Main Results:

Identification of widely used B-cell epitope databases.
Methodological insights into creating curated datasets.
Understanding the importance of data quantity and quality for model training.

Conclusions:

Access to comprehensive B-cell epitope databases is vital for computational prediction.
Effective dataset compilation is a prerequisite for developing reliable B-cell epitope prediction tools.
This work supports advancements in epitope-driven immunoinformatics and vaccine design.