From Sequence to Glue: A Multi-Dimension Journey in the Embedding Space
Time: 11:45 am
day: Day 1, Track A, - AM
Details:
- Leveraging advanced machine learning algorithms and data augmentation techniques to integrate diverse datasets, creating a unified and actionable embedding space for drug discovery
- Streamlining the identification of optimal E3 ligases for targeted protein degradation by utilizing predictive models to enhance ligand-ligase pairing accuracy
- Enabling the rational design of molecular glues through computational insights, accelerating the development of highly specific and effective degraders for challenging therapeutic targets
