In silico rational design of vaccines: prediction of B-cell epitopes

Abstract : The in silico prediction of B-cell epitopes through the use of bioinformatics tools is an extremely promising approach for the rational design of vaccines, which would drastically limit and guide experimental tests - among others on animals - and lead to significant gains in time and cost. The development of a reliable prediction tool of B-cell epitopes is thus an objective of prime importance. To develop software for predicting B-cell epitopes, we will use the sequences and structures of experimentally characterized antibody-antigen complexes, which are available in specialized databases. The sequence and structure characteristics of the antibody-antigen interfaces will be identified, as well as their energy characteristics. These data will be rationalized, combined, and will form the basis of the prediction method.
Promoteur/Supervisor : Prof. Rooman Marianne
Email :
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Centre de recherche/Research center : 3BIO - BioModeling, BioInformatics & BioProcesses
Faculté/Faculty : Faculté des Sciences appliquées - école polytechnique/Brussels School of Engineering (Faculty of Applied Sciences)
Ecole doctorale/Graduate Colleges : Sciences agronomiques et ingénierie biolo/Agronomy and Bioengineering
Ecole doctorale thématique/Graduate School (French Only): Structure et fonction des macromolécules biologiques, bioinformatique et modélisation (SFMBBM)

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