Democratizing AI for Biology | Discovery Engines

Democratizing AI for Biology | Discovery Engines

From Discovery Engines – with Nabil by Nabil Laoudji, YesAnd Labs LLC

June 11, 2026 · 1h 7m · Season 1 · Episode 15

About this episode

Gabriele Corso discusses the democratization of AI in biology and drug discovery through open models and partnerships.

Gabriele Corso, CEO and co-founder of Boltz, believes the most powerful AI models for drug discovery should be accessible to all, starting with the open models his team has put in the hands of over 100,000 scientists. In this episode, I sit down with Gabriele to explore the leap from predicting protein structures to designing new molecules with Boltz-1, Boltz-2, and BoltzGen, why he champions open access, their multi-year partnership with Pfizer, and the vision of "zero-shot" drug design. Hosted by Nabil Laoudji. See below for episode links, chapters, and our socials. 🙏🙌 Episode Links: Boltz Boltz Repository Gabriele's LinkedIn Worldwide Protein Data Bank Ginkgo Lab Tour Pfizer Partnership Announcement Chapters: (00:00) - Preview (00:56) - Intro (02:15) - Why Proteins Matter and Rational Drug Design (05:51) - Target Identification, the Toughest Problem in Drug Discovery (07:55) - Small Molecules and Biologics (12:57) - Does a Disease Have One Target or Many? (15:36) - The Billion Dollar Molecule and How Boltz's Models Work (22:05) - The Protein Data Bank (PDB) and the Role of Sequencing Data (25:55) - What New Data Could Improve AI Bio Models? (29:02) - Where Boltz's Training…

People in this episode

Host: Nabil Laoudji

Guest: Gabriele Corso

Topics covered

  • AI in drug discovery
  • open access models
  • protein structure prediction
  • molecule design
  • biotech partnerships
  • zero-shot drug design

Keywords

  • AI
  • drug discovery
  • open access
  • protein structures
  • molecule design
  • biotech
  • Pfizer
  • Boltz

Mentioned in this episode

Organizations: Boltz, Pfizer, DeepMind, Worldwide Protein Data Bank

Products: Boltz-1, Boltz-2, BoltzGen

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