Special Issue on Computer-aided Vaccine Design

Important technological and computational advances have enabled major progress in the discovery and design of potently immunogenic antigens for vaccine development. Three areas have made this possible. Firstly, genomic sciences gave birth to the field of reverse vaccinology, which has enabled the rapid computational identification of potential vaccine antigens. Secondly, major advances in structural biology, experimental epitope mapping, and computational epitope prediction have yielded molecular insights into the immunogenic determinants defining protective antigens and enabling their rational optimization. Thirdly, computational approaches have been used to convert this wealth of structural and immunological information into the design of improved vaccine antigens.

Monoclonal Antibodies in Immunodiagnosis and Immunotherapy is developing a special issue on Computer-aided Vaccine Design. This special issue aims to illustrate the growing power of combining sequencing, structural and computational approaches in the design of immunogens suitable for future vaccines targeting for the global prevention of infectious disease and cancer.

Suggested topic areas include, but are not limited to:

• Computational modeling of antigen-antibody interactions
• Computational resources for designing vaccine adjuvants
• Structural studies of B and T cell epitopes
• Computational tools to understand pathogens
• Computational tools to understand responses to allergens
• Computational tools to elucidate autoimmune responses

All manuscripts should be submitted online by September 1, 2021. All submissions will be subject to a rigorous peer review.

Visit the Journal's website to learn more, read past issues, and view author submission guidelines.

Submit your paper for peer review online.