Peter Ung

Principal Scientist Genentech

Seminars

Thursday 29th October 2026
Optimizing the Next Generation Degraders with Better Informatics, Descriptors & Predictive Modeling
9:30 am
  • Development of internal tools to manage, visualize, and streamline the analysis of PROTAC and molecular glue molecules
  • Evaluating the predictiveness of 2D/3D descriptors for PROTAC/Glue
  • Development of ML model of EPSA to facilitate design of permeable PROTACs
Thursday 29th October 2026
Discussion: Harnessing AI & Computational Modelling to Optimize Design, Specificity & Efficacy of Induced Proximity Molecules to Support the Development of Tolerable, Selective Therapies
10:00 am
  • 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
Peter Ung