Epitope prediction is a critical component of modern vaccine design, helping researchers identify the specific parts of a pathogen’s proteins that can trigger a strong immune response. By analyzing the structure of antigens, computational tools are employed to predict which epitopes—small fragments of the antigen recognized by immune cells—are most likely to induce immunity. This is especially important for designing vaccines for pathogens that have high variability, like influenza or HIV. Accurate epitope prediction can significantly improve the efficacy of a vaccine, ensuring that it targets the most relevant components of a pathogen. This strategy not only enhances the immune response but also reduces the chances of the pathogen escaping immune detection due to mutations. As vaccine technology evolves, epitope prediction plays an increasingly important role in designing vaccines that provide broad protection, are more cost-effective, and can be rapidly adapted to emerging infectious diseases.
Khursheed Anwer
IMUNON, United States
Ping Xie
Rutgers University, United States
Regina Au
BioMarketing Insight, United States
Madhu Khanna
University of Delhi, India
Lara Isis Teodoro
Mayo Clinic, United States
Ahmed Abdulazeez
BHRUT Trust, United Kingdom
Elena Chiappini
University of Florence, Italy
Ayesha Zahid
Griffith University, Australia
Livia Daflon Silva
Federal University of State of Rio de Janeiro, Brazil
Neha Bhandari
Chitkara University, IndiaSubmit your abstract Today
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Regina Au, BioMarketing Insight, United States
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Madhu Khanna, University of Delhi, India
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Ping Xie, Rutgers University, United States
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