AI-Aided Design of Novel Inhibitors Against SARS-CoV-2
Toronto Machine Learning Series (TMLS) via YouTube
Learn Python with Generative AI - Self Paced Online
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore the cutting-edge application of artificial intelligence in drug discovery for COVID-19 treatment in this 36-minute conference talk by Dr. Dong Xu at the Toronto Machine Learning Series. Learn about the development of a novel advanced deep Q-learning network combined with fragment-based drug design to generate potential lead compounds targeting the SARS-CoV-2 3C-like main protease (3CLpro or Mpro). Discover how this AI-driven approach addresses the urgent need for new chemical entities after the failure of drug repurposing efforts. Gain insights into the structure-based optimization policy used to obtain derivatives from lead compounds and access the resulting molecular library of 47 AI-generated lead compounds and related derivatives. Understand the extension of this method to design peptide-based drugs against SARS-CoV-2, offering valuable resources for researchers in the development of potential COVID-19 treatments.
Syllabus
Dr. Dong Xu - AI-aided design of novel inhibitors against SARS-CoV-2
Taught by
Toronto Machine Learning Series (TMLS)