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124: Manufacturability: Why Most Protein Candidates Fail (And How to Pick Winners Early) with Susan Sharfstein - Part 2 episode artwork

EPISODE · Jan 30, 2025 · 17 MIN

124: Manufacturability: Why Most Protein Candidates Fail (And How to Pick Winners Early) with Susan Sharfstein - Part 2

from Smart Biotech Scientist | The CMC and Bioprocessing Podcast for Process Development and Manufacturing Leaders · host David Brühlmann - CMC Development Leader, Biotech C-level Advisor, Business Strategist

In part two of our insightful conversation, Dr. Susan Sharfstein builds on our previous discussion of developability assessment to explore how AI is revolutionizing protein manufacturability predictions. As a Professor of Nanoscale Science and Engineering at the University of Albany, she shares groundbreaking insights from her collaboration with DeepSeq AI, demonstrating how artificial intelligence is transforming our ability to assess and predict protein manufacturability early in development. Key Takeaways: Discover how AI tools are enhancing traditional developability assessments by predicting protein expression and stability before entering the lab Learn why integration of experimental validation with AI predictions is crucial for successful manufacturability assessment, and how industry partnerships are making this possible at unprecedented scale Understand how the synergy between AI, DNA synthesis capabilities, and robotics is creating a "positive spiral" that will accelerate protein manufacturing innovation Whether you're involved in candidate selection, process development, or curious about AI's impact on developability assessment, this episode offers valuable insights into the future of protein manufacturing. Plus, Dr. Sharfstein shares invaluable career advice for emerging biotech scientists. Join us to explore how AI is reshaping developability assessment and learn why this field continues to offer life-changing possibilities for patients worldwide. Connect with Susan Sharfstein: LinkedIn: https://www.linkedin.com/in/susan-sharfstein-b7552111/ College of Nanotechnology, Science, and Engineering, University at Albany: https://www.albany.edu/cnse Next Steps: Wondering how to develop cell and gene therapies with peace of mind? Schedule your free assessment to propel your success: https://bruehlmann-consulting.com/assessment Develop biologics better, faster, at a fraction of the cost with our 1:1 Strategy Call. Book your call at https://stan.store/SmartBiotech/p/book-a-11-call-with-me-j4vhuo6t Support the show

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In part two of our insightful conversation, Dr. Susan Sharfstein builds on our previous discussion of developability assessment to explore how AI is revolutionizing protein manufacturability predictions. As a Professor of Nanoscale Science and Engineering at the University of Albany, she shares groundbreaking insights from her collaboration with DeepSeq AI, demonstrating how artificial intelligence is transforming our ability to assess and predict protein manufacturability early in developmen...

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124: Manufacturability: Why Most Protein Candidates Fail (And How to Pick Winners Early) with Susan Sharfstein - Part 2

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