Generative AI in
Drug Discovery

Monthly lecture series, hosted by

Michael Bronstein and Bruno Correia
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What We Cover
Dive into the applications of Generative AI across the many areas of drug discovery with some of the world's leading researchers
Series Objectives
The lecture series invites researchers from academia and industry to give new perspectives on AI in Drug Discovery, covering applications across small molecules, biologics, and more.
Topics
  • Protein Language Models
  • Protein Dynamics
  • Protein Design
  • Protein Engineering
  • Geometric Deep Learning
  • Retrosynthesis
  • Protein Folding
  • Protein-Ligand Docking
  • Benchmarking
  • AI for Science
  • Protein-Protein Docking
  • Molecular Generative Models
  • New Probabilistic Generative Models
  • Integration of Large Scale Experimental Data
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Upcoming Events

No lectures available on April 22, 2024

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Latest Lectures
Dive into the premiere episodes of a monthly lecture series dedicated to Generative AI in Drug Discovery
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Recent Posts
March 18, 2024

The Road to Biology 2.0 Will Pass Through Black-Box Data

Michael Bronstein and Luca Naef

This year marks perhaps the zenith of expectations for AI-based breakthroughs in biology, transforming it into an engineering discipline that is programmable, predictable, and replicable. Drawing insights from AI breakthroughs in perception, natural language, and protein structure prediction, we endeavour to pinpoint the characteristics of biological problems that are most conducive to being solved by AI techniques.

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Expert Perspectives
Deepen your understanding of generative AI in drug discovery with scientific leaders