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Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope
Published on: March 24, 2017
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Bioinformatics-based prediction of conformational epitopes for human parechovirus
Hao Rong1,2, Liping Wang1,2, Liuying Gao1,3
1The Affiliated Hospital of Medical School, Ningbo University, Ningbo, China.
Plos One
|April 1, 2021
Summary
This study systematically predicted and compared conformational epitopes of Human parechoviruses (HPeVs) 1 and 3. Key amino acid residues were identified, aiding in distinguishing HPeV genotypes and understanding antibody binding.
Area of Science:
- Virology
- Structural Biology
- Immunology
Background:
- Human parechoviruses (HPeVs) cause various diseases in children.
- HPeV1 and HPeV3 are common genotypes, but their antigenic epitopes are under-researched.
- Understanding epitopes is crucial for diagnostics, antivirals, and studying virus evolution.
Purpose of the Study:
- To systematically predict and compare conformational epitopes of HPeV1 and HPeV3.
- To identify key residues responsible for genotype differentiation and antibody binding.
Main Methods:
- Bioinformatics methods were employed for systematic prediction and comparison of HPeV1 and HPeV3 conformational epitopes.
- Predicted epitopes were validated against known antigenic epitopes.
Main Results:
- Epitopes were consistently located in three distinct sites across both HPeV1 and HPeV3.
- While epitope locations were similar, specific amino acid residues varied significantly between genotypes.
- Key residues (VP3-91N, -92H, VP0-257S) were identified for HPeV1-specific antibody binding and genotype distinction.
- Residues VP1-85N and -87D in HPeV3 may influence antibody binding.
Conclusions:
- Bioinformatic prediction of HPeV conformational epitopes is accurate and reliable.
- Specific amino acid variations in epitopes are critical for differentiating HPeV1 and HPeV3 genotypes.
- Identified key residues provide insights into virus-receptor interactions and potential targets for therapeutic and diagnostic development.
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