Pre-Conference Workshop Day
Tuesday, September 14
Workshop A: Discovering & Developing Protein & Peptide Based Drug Therapies through Computational Tools
10.00 - 12.00 EDT
This interactive and hands on workshop will introduce several computational tools for developing protein and peptide based drug therapies. Case studies will demonstrate the application of these tools, explore how these can be employed and detail the applications of algorithms. Here we will delve into the future uses of protein and peptide design in the biopharmaceutical setting.
Attendees will discuss:
- How to apply state of the art knowledge for computational peptide design
- Computational design of peptides from small scaffolds up to redesign engineering of proteins using computational methods
- Compound design and applications of algorithms to design
- The future of protein and peptide design
Workshop Leader:
Per Jr. Greisen
Director, Computational Drug Discovery
Novo Nordisk
Workshop B: Applications of Machine Learning in Drug
Discovery & Development Immunogenicity Prediction & Validation
13.00 -15.00 EDT
This interactive and hands on workshop will provide a set of tools to tools to improve discovery and decision making for well-specified questions with abundant, high-quality data. Case studies will detail how to apply machine learning in all stages of drug discovery including target validation, identification of prognostic biomarkers and analysis of digital pathology data in clinical trials. Here we will explore and solve challenges including lack of interpretability and repeatability of ML-generated results to prevent application limit.
Attendees will discuss:
- Tools to improve discovery and decision making
- Machine learning applications in all stages of drug discovery
- Solving challenges in lack of interoperability and repeatability
Workshop Leader:
Peter Henstock
Machine Learning & AI Technical Lead
Pfizer