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.
Duccio Medini
BioForge, United States
Jocelyn Jakubik
Apex Pathogen Solutions, United States
Sergey V Suchkov
N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Rosane Cuber Guimaraes
Bio-Manguinhos/ Fiocruz, Brazil
Zhujun Ao
University of Manitoba, Canada
Huanhuan Li
Queen’s University Belfast, United Kingdom
Madhu Khanna
University of Delhi, India
Ashish Kumar Maurya
John Snow India, India
Ayman H M El Deeb
Cairo University, Egypt
Lei Chen
Yikang Biotech Suzhou Co., Ltd, ChinaSubmit your abstract Today
Title : A universal AI design framework and brokerage platform for democratised manufacturing of mRNA therapeutics
Duccio Medini, BioForge, United States
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Sergey V Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
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Zhujun Ao, University of Manitoba, Canada
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Huanhuan Li, Queen’s University Belfast, United Kingdom
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Aysel Sadayli, V.Y. Axundov Scientific-Research Institute of Medical Prophylaxis, Azerbaijan
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Sergey V Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
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Attahir Abubakar, Ahmadu Bello University, Nigeria
Title : Comparative efficacy of different H9N2 avian influenza virus inactivated vaccines using some commercially available adjuvants for superior control in broilers
Ayman H M El Deeb, Cairo University, Egypt
Title : Structure-based design and development of next-generation Respiratory Syncytial Virus (RSV) vaccine
Lei Chen, Yikang Biotech Suzhou Co., Ltd, China
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Ashish Kumar Maurya, John Snow India, India