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Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope
Published on: March 24, 2017
Cryptic B-cell epitope identification through informational analysis of protein sequences
Ludmila Alekseeva1, Aleksei Nekrasov, Aleksei Marchenko
1Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry RAS, Miklukho-Maklaya St., 16/10, Moscow 117997, Russian Federation.
Vaccine
|August 8, 2006
Summary
Analyzing protein information structure (IS) helps identify B-cell epitopes. Peptides selected using IS analysis and presented on virus-like particles (VLPs) elicited antibody responses against full-length proteins.
Area of Science:
- Immunology
- Bioinformatics
- Structural Biology
Background:
- B-cell epitopes are crucial for antibody recognition and immune responses.
- Predicting B-cell epitope locations within protein sequences remains challenging.
- Information structure (IS) analysis offers a novel approach to understanding protein sequence properties.
Purpose of the Study:
- To investigate the correlation between B-cell epitope locations and protein information structure (IS).
- To evaluate the immunogenicity of peptides selected based on IS analysis.
Main Methods:
- Comparative analysis of 62 known B-cell epitopes across five proteins.
- Identification of protein regions with high information coordination.
- Selection and recombinant production of six peptides as yeast virus-like particles (VLPs).
- Immunization of mice with VLP-peptide constructs.
Main Results:
- B-cell epitopes were found to concentrate in IS sites with higher information coordination.
- Recombinant VLP-peptides successfully induced IgG production in mice.
- The elicited IgG recognized full-length antigens, indicating functional epitope activity.
Conclusions:
- Protein IS analysis is a valuable tool for identifying potential B-cell epitopes.
- Selected peptides, when presented on VLPs, can elicit specific antibody responses.
- This approach may aid in the discovery of cryptic B-cell epitopes for vaccine and diagnostic development.
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