Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Systematic Evolution of Ligands by Exponential Enrichment - The Need for AI

Institute for Pure & Applied Mathematics (IPAM) via YouTube

Overview

Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
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)

Reviews

Start your review of Systematic Evolution of Ligands by Exponential Enrichment - The Need for AI

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.