Systematic Evolution of Ligands by Exponential Enrichment - The Need for AI
Institute for Pure & Applied Mathematics (IPAM) via YouTube
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Explore how artificial intelligence can revolutionize the systematic evolution of ligands by exponential enrichment (SELEX) in this 13-minute conference talk. Discover the critical role AI plays in advancing this molecular biology technique used to identify DNA, RNA, or protein molecules that bind specifically to target molecules. Learn about the computational challenges and opportunities in SELEX processes, where traditional methods require exponential enrichment cycles that can benefit significantly from machine learning approaches. Understand how AI algorithms can optimize the selection process, predict binding affinities, and accelerate the discovery of therapeutic ligands. Gain insights into the intersection of computational biology and artificial intelligence from a leading researcher's perspective on how modern AI techniques are transforming molecular discovery and drug development processes.
Syllabus
Andrea Bertozzi - Systematic evolution of ligands by exponential enrichment - the need for AI
Taught by
Institute for Pure & Applied Mathematics (IPAM)