Vaccine development to combat pandemic-level threats using AI in protein design

Clara Schroeder shares insights into her lab's work on computational protein design for vaccine development. This presentation highlights:

* The role of computational tools like Rosetta and Protein MPNN in designing antigens for vaccines.
* Challenges in antigen design, including selecting the correct protein conformation and optimizing stability, yield, and binding.
* Examples of real-world applications, such as designing antigens for Arena and Nipah viruses.
* How de novo protein design is used to create reagents essential for testing vaccine efficacy and antibody production.

Clara explains how her team uses computational and lab-based workflows to introduce targeted mutations and enhance vaccine performance. This talk underscores the importance of combining AI-driven tools with experimental validation to advance vaccine design and production.

We apologize for the technical glitch that caused this video to be truncated. We hope the available content still provides valuable insights. Thank you for your understanding, and feel free to reach out with any questions.

Learn more about how computational protein design is shaping the future of vaccines and therapeutic development: https://www.schoederlab.org/

Thumbnail credit: Ian Haydon (Institute for Protein Design)

00:00 - Introduction
00:38 - Vaccine Design Workflow
02:00 - Antigen
04:28 - Computational Design for Arenavirus Glycoproteins
06:05 - Mini-binder design with RFD for Reagents

Видео Vaccine development to combat pandemic-level threats using AI in protein design канала RosettaCommons