Genetically Encoded Levivirus Coat Protein-Based Yeast Display Libraries of Cyclic Peptides

Area of Science:

• Biotechnology
• Immunology
• Molecular Biology

Background:

• Antibody epitope identification is crucial for diagnostics and therapeutics.
• Current methods for epitope screening can be complex and costly.
• There is a need for simplified and affordable epitope discovery platforms.

Purpose of the Study:

• To develop a novel yeast display system for identifying antibody epitopes.
• To create a cost-effective and efficient platform for epitope screening.
• To validate the system using model antibodies and patient samples.

Main Methods:

• Yeast display of conformationally constrained peptides within the PP7 capsid protein.
• Screening of peptide libraries using affinity selection.
• Validation with model monoclonal antibodies (rituximab) and patient plasma (anti-GAD65).

Main Results:

• Successfully identified epitopes for model monoclonal antibodies.
• Discovered relevant epitopes from patient plasma associated with neurological disorders.
• Demonstrated the system's efficiency in epitope retrieval and enrichment.

Conclusions:

• The developed yeast display system provides a robust platform for epitope identification.
• This method facilitates novel diagnostic approaches and antigen-specific treatments.
• The platform supports a precision medicine strategy by enabling targeted therapies.