Pre-Conference Workshop Day | Tuesday, October 22, 2024

8:00 am Registration & Networking

Workshop A | 09.00 – 11.00

Exploring Computational Tools in Biologics Research: Current Implementation & Best Practices

Synopsis

This workshop aims to facilitate an in-depth exploration of the computational tools and software (Rosetta, Moe, Schrodinger, AlphaFold, etc.) utilized in biologics research, focusing on which areas of the biologics development pipeline they are best suited to, limitations, as well as how they can effectively be used in conjunction. Attendees will have the opportunity to discuss and compare various tools commonly used in the industry, gaining insights into the rationale behind tool selection and the unique capabilities offered by different platforms

Highlights include:

  • Examination of the functionalities and features offered by each tool, including molecular modeling, sequence analysis, and immunogenicity prediction
  • Discussion on the strengths and limitations of different tools in addressing specific challenges in biologics discovery and development
  • Application of molecular dynamics and structure prediction tools to design/engineer antibodies

11:00 am Morning Break & Networking

Workshop B | 11.30 – 13.30

Integrating Computational & Experimental Approaches in Early-Stage Biologic Drug Design

  • Michael Marlow Director of Biologics, Chemistry, Manufacturing & Controls Research, Boehringer Ingelheim

Synopsis

This workshop aims to explore the integration of experimental approaches, computational biology, generative AI, and ML in de novo design of biologics. We will look at innovative approaches to design novel biologic drugs, ensuring synthetic stability as well as how these methods can be integrated for drug repurposing and polypharmacology.

Highlights include:

  • Discussing the importance of leveraging computational tools to identify developability issues in biotherapeutic candidates during the early stages of drug discovery
  • Emphasizing the value of integrating experimental data with machine learning algorithms to prioritize promising biotherapeutic candidates for further development
  • Highlighting strategies to streamline experimental workflows and reduce time and resource-intensive manual operations

1:30 pm Lunch

Workshop C | 14.30 – 16.30

Insights from the Baker Lab & Beyond: Computational Strategies for Protein Engineering

  • Linna An Postdoctoral Research, Institute for Protein Design

Synopsis

This workshop will encompass a range of topics related to computational protein design, including the challenges, methodologies, and successful outcomes of various projects. It would provide a platform to discuss cutting-edge techniques in protein engineering, drawing on both theoretical frameworks and practical applications. Featuring insights from the Baker Lab’s research and contributions to the field.

Highlights include:

  • Advanced computational methods for protein-small molecule binding design
  • Challenges, methodologies, and successful outcomes of the sensor design project
  • Exploration of enzyme engineering using small molecule-protein complex design pipeline

4:30 pm End of Workshop Day