Course curriculum
Anti-drug antibodies developed against therapeutic proteins have been shown to reduce the medication efficacy, and in worst case this immunogenicity can have safety implications for the patient. Understanding and predicting the immunogenic potential of therapeutic proteins has been a major challenge in the process of biotherapeutic drug discovery. In recent years, many AI methods have been applied to protein fragments to evaluate their immunogenicity potential and have shown encouraging accuracies. This presentation will provide an overview of popular AI techniques in this space, including natural language processing, position-specific scoring matrix, deep motif deconvolution, etc. Current use cases of such tools, research gaps, and future opportunities will also be discussed.
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Untitled chapterUsing AI for Immunogenicity Potential Assessment in Drug Discovery
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Using AI for Immunogenicity Potential Assessment in Drug Discovery
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Instructor
Data Scientist Novartis
Jiayi Cox, PhD