Immunogenicity Prediction for Biologics
Create computational models to predict and mitigate immune responses to biologic drugs, improving safety profiles.
Resources (1)
R&D Gaps (1)
Drug development is often hampered by failures related to absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox). Improved predictive models for molecular interactions are essential for designing safer, more effective drugs, as well as evaluating the impact of environmental chemicals.
Additionally, there is a significant gap in our knowledge of what exactly is present in foods and how these components affect human biology. A comprehensive mapping of the “foodome” and studies on food component functionality are needed to advance nutrition science and personalized dietary interventions.