- Business
- Understand how AI can accelerate scientific breakthroughs and create significant value in research-intensive fields.
- Everyday users
- Learn about a groundbreaking AI achievement that could lead to new medicines and a better understanding of biology.
This episode details a significant AI achievement in scientific research, highlighting its journey to a Nobel Prize.
AlphaFold: Grand Challenge to Nobel Prize with John Jumper
Audio streams from Hannah Fry. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
This Google DeepMind podcast episode features John Jumper discussing AlphaFold, a project that transformed protein structure prediction. Hosted by Hannah Fry, the 47-minute episode likely covers the journey from a grand challenge to a Nobel Prize-winning scientific breakthrough. Listeners can learn more about AlphaFold and its development through linked resources.
This episode explains AlphaFold, an AI that predicts how proteins fold. Understanding protein folding is crucial for developing new medicines and understanding diseases. It's a major scientific leap made possible by AI.
This episode offers insight into a significant scientific achievement powered by AI. It's for anyone interested in how AI tackles complex research problems, particularly in biology and medicine. AlphaFold's success demonstrates AI's potential to accelerate scientific discovery, a key focus for labs like Google DeepMind and others exploring AI's role in research.
- HostHannah Fry
- GuestJohn Jumper
- Guest: John Jumper
- Title: AlphaFold: Grand Challenge to Nobel Prize
- Show: Google DeepMind: The Podcast
- Length: 47 minutes
- AlphaFold Info Link: https://deepmind.google/science/alphafold/
- AlphaFold Video Link: https://youtu.be/d95J8yzvjbQ
Learn more about AlphaFold: https://deepmind.google/science/alphafold/
Watch the story behind AlphaFold in The Thinking Game, now available for free: https://youtu.be/d95J8yzvjbQ
Thank you to everyone who made this possible, including but not limited to:
- Presenter: Professor Hannah Fry
- Series Producer: Dan Hardoon
- Editor: Rami Tzabar
- Commissioner & Producer: Emma Yousif
- Music composition: Eleni Shaw
- Audio engineer: Richard Courtice
- Video editor: Anthony Le
- Audio engineer: Perry Rogantin
- Visual identity: Rob Ashley
- Commissioned by Google DeepMind
Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation!
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
- protein structure prediction
- John Jumper
- figuring out the 3D shape of proteins
Can AI help us better predict the weather?
WithPeter Battaglia
The mathematics of AI uncertainty
WithZoubin Ghahramani
Same guests, other shows
Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]
WithProfessor Mazviita Chirimuuta, Francois Chollet, Joscha Bach, Professor Luciano Floridi
AI for Science with Sir Paul Nurse, Demis Hassabis, Jennifer Doudna, and John Jumper
WithSir Paul Nurse, Demis Hassabis, Jennifer Doudna, John Jumper
A breakthrough unfolds
WithDemis Hassabis, John Jumper, Kathryn Tunyasunakool, Sasha Brown
Questions people ask
- Where can I learn more about AlphaFold?
- You can find more information on the Google DeepMind website at deepmind.google/science/alphafold/.
- Is there a video about AlphaFold's story?
- Yes, a video titled 'The Thinking Game' is available for free on YouTube.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Hannah Fry.






