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Updated: Jul 15, 2025

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

BCEDB: a linear B-cell epitopes database for SARS-CoV-2.

Chengzheng Tai¹, Hongjun Li², Jing Zhang¹

¹Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Centre for Biomedical Engineering, School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China.

Database : the Journal of Biological Databases and Curation

|September 30, 2023

Summary

This summary is machine-generated.

A new database, BCEDB, hosts linear B-cell epitopes from SARS-CoV-2 Spike protein. This resource aids in developing effective peptide-based vaccines against the virus.

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Engineering Antiviral Agents via Surface Plasmon Resonance

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Published on: June 14, 2022

Area of Science:

Immunology
Virology
Bioinformatics

Background:

The 2019 Novel Coronavirus (SARS-CoV-2) has caused a global pandemic with millions of deaths.
Viral mutations can enhance replication and immune evasion.
Linear B-cell epitopes show potential for vaccine development, challenging previous notions of low immunogenicity.

Purpose of the Study:

To establish a centralized, publicly accessible repository for linear B-cell epitopes relevant to SARS-CoV-2.
To facilitate research and development of peptide-based vaccines against SARS-CoV-2.

Main Methods:

Development of BCEDB, a specialized database for hosting, exploring, and visualizing linear B-cell epitopes.
Computational prediction of linear B-cell epitopes from the SARS-CoV-2 Spike protein.
Systematic annotation including sequence, antigenicity, genomic location, and mutation data.
Integration of a genome browser for interactive visualization of epitope features and mutations on the Spike protein's 3D structure.

Main Results:

BCEDB provides a comprehensive collection of computationally predicted linear B-cell epitopes from the SARS-CoV-2 Spike protein.
Detailed annotations include epitope sequences, antigenicity scores, genomic locations, and information on mutations across different virus lineages.
Interactive visualization tools allow exploration of mutation sites on the 3D structure of the Spike protein.

Conclusions:

BCEDB serves as a valuable resource for the scientific community.
The database supports the design and development of novel peptide-based vaccines targeting SARS-CoV-2.
Facilitating vaccine development through accessible epitope data is crucial for combating the pandemic.