Discussion: Harnessing AI & Computational Modelling to Optimize Design, Specificity & Efficacy of Induced Proximity Molecules to Support the Development of Tolerable, Selective Therapies
- Optimizing PROTAC linkers & E3 ligase pairing with AI and machine learning tools for enhanced selectivity and potency
- Transforming molecular glue design with AI to predict target engagement, enhance selectivity and minimize off-target degradation
- Employing computational tools and modelling approaches to inform therapeutic strategy across induced proximity modalities