CORDIS Project
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This project focuses on improving the understanding of antibody-antigen interactions to accelerate the design of therapeutics. By generating large-scale data on binding pairs and applying machine learning techniques, it aims to uncover the rules governing these interactions for better vaccine and antibody development.
Antibody-antigen binding is the basis of two fundamental biotherapeutic pillars: monoclonal antibodies (1) and vaccines (2).
To accelerate therapeutics discovery, we need to perform antibody (Ab) and antigen (Ag) design in silico.
Specifically, we need to address a fundamental immuno-biotechnological challenge: understanding the interaction rules that predict Ab-Ag binding.
Solving this challenge demands the convergence of biotechnology, computational structural biology, and machine learning (ML…
UNIVERSITETET I OSLO
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