Explore cutting-edge insights into machine learning applications for protein engineering in this thought-provoking lecture by Jennifer Listgarten from UC Berkeley. Delve into the intersection of artificial intelligence and scientific research, focusing on how ML techniques are revolutionizing the field of protein design and optimization. Gain valuable perspectives on the current state and future potential of AI-driven approaches in molecular biology, and understand the challenges and opportunities in this rapidly evolving domain.
Machine Learning-Based Protein Engineering - Insights and Approaches
Overview
Syllabus
Some thoughts on ML-based protein engineering
Taught by
Simons Institute
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