Educational guide
How Labs Can Prepare for AI-Based Protein Design and Engineering
Time: Protein engineering will be critical to creating the next generation of therapeutics, chemicals, materials, and food. Artificial intelligence is poised to have a transformational impact on protein design and engineering by helping scientists generate mor
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- Time:
Protein engineering will be critical to creating the next generation of therapeutics, chemicals, materials, and food. Artificial intelligence is poised to have a transformational impact on protein design and engineering by helping scientists generate more relevant variants faster and at lower costs. Good wet lab data is essential to maximizing the power of AI-driven protein engineering for various applications.
In this GEN webinar, Stef van Grieken and Prem Mohanty will discuss how the success of AI/ML technologies is tied to data quality and share specific approaches for generating clean lab data to train models faster. During the webinar, you’ll learn:
1. The role of AI/ML in protein design and engineering
2. Best practices for clean AI/ML-ready data
3. How to improve AI/ML models with every experimental round
A live, interactive Q&A session followed the presentation offering a chance to pose questions to our expert panelists.
Produced with support from: