- Developers
- Learn how AI models can solve complex scientific challenges beyond language.
- Business
- Understand AI's potential to accelerate drug discovery and transform healthcare industries.
- Everyday users
- Discover how AI is advancing medicine and could lead to new treatments for diseases.
This episode discusses a major scientific AI breakthrough with significant implications for medicine, featuring key researchers.
A breakthrough unfolds
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 explores AlphaFold, an AI system that solved the 50-year-old protein-folding problem. Hosted by Hannah Fry, it features interviews with DeepMind researchers Demis Hassabis, John Jumper, Kathryn Tunyasunakool, and Sasha Brown, alongside experts from the Drugs for Neglected Diseases initiative and the University of Portsmouth. The discussion covers AlphaFold's impact on healthcare and medicine.
An AI called AlphaFold solved a huge biology puzzle: how proteins fold. This helps scientists understand diseases and create new medicines faster. It's a major step for AI in science and healthcare.
This episode offers an inside look at a significant AI breakthrough in biology. It's for anyone interested in how AI accelerates scientific discovery and its potential to revolutionize medicine. The discussion connects to current frontier lab efforts in using AI for scientific research, moving beyond language models to tackle complex biological challenges.
- HostHannah Fry
- GuestDemis HassabisDeepMind
- GuestJohn JumperDeepMind
- GuestKathryn TunyasunakoolDeepMind
- GuestSasha BrownDeepMind
- GuestCharles MowbrayDrugs for Neglected Diseases initiative (DNDi)
- GuestMonique WasunaDrugs for Neglected Diseases initiative (DNDi)
- GuestJohn McGeehanCentre for Enzyme Innovation at the University of Portsmouth
- Episode Title: A breakthrough unfolds
- Show: Google DeepMind: The Podcast
- Length: 39 minutes
- AI Achievement: AlphaFold solved the 50-year-old protein-folding problem
- Impact: Could help transform the future of healthcare and medicine
In December 2019, DeepMind’s AI system, AlphaFold, solved a 50-year-old grand challenge in biology, known as the protein-folding problem. A headline in the journal Nature read, “It will change everything” and the President of the UK's Royal Society called it a “stunning advance [that arrived] decades before many in the field would have predicted”. In this episode, Hannah uncovers the inside story of AlphaFold from the people who made it happen and finds out how it could help transform the future of healthcare and medicine.
For questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com.
Interviewees: DeepMind’s Demis Hassabis, John Jumper, Kathryn Tunyasunakool and Sasha Brown; Charles Mowbray and Monique Wasuna of the Drugs for Neglected Diseases initiative (DNDi]) & John McGeehan of the Centre for Enzyme Innovation at the University of Portsmouth
Credits
Presenter: Hannah Fry
Series Producer: Dan Hardoon
Production support: Jill Achineku
Sounds design: Emma Barnaby
Music composition: Eleni Shaw
Sound Engineer: Nigel Appleton
Editor: David Prest
Commissioned by DeepMind
Thank you to everyone who made this season possible!
Further reading:
AlphaFold blog, DeepMind: https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology
AlphaFold case study, DeepMind: https://deepmind.com/research/case-studies/alphafold
It will change everything, Nature: https://www.nature.com/articles/d41586-020-03348-4
AlphaFold Is The Most Important Achievement In AI—Ever, Forbes: https://www.forbes.com/sites/robtoews/2021/10/03/alphafold-is-the-most-important-achievement-in-ai-ever/?sh=359278426e0a
Bacteria found to eat PET plastics, NewScientist: https://www.newscientist.com/article/2080279-bacteria-found-to-eat-pet-plastics-could-help-do-the-recycling/
Protein Structure Prediction Center: https://predictioncenter.org/
An interview with Professor John McGeehan, BBSRC: https://bbsrc.ukri.org/news/features/enzyme-science/an-interview-with-professor-john-mcgeehan/
John McGeehan profile, University of Portsmouth: https://researchportal.port.ac.uk/en/persons/john-mcgeehan
Drugs for Neglected Diseases initiative (DNDi): https://dndi.org/
A doctor’s dream, DNDi: https://www.youtube.com/watch?v=Tk31iucWYdE
The Curious Cases of Rutherford and Fry, BBC: https://www.bbc.co.uk/programmes/b07dx75g/
- protein-folding problem
- John Jumper, DeepMind
- A major biology challenge about how a protein's shape forms from its building blocks.
Can AI help us better predict the weather?
WithPeter Battaglia
The mathematics of AI uncertainty
WithZoubin Ghahramani
Same guests, other shows
Demis Hassabis on AGI, Robots Scale Production, and Elon’s $1T Mars-Shot Comp | EP #253
WithDemis Hassabis, Steven Kotler, Salim Ismail, Dave Blundin
Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION]
WithProfessor Mazviita Chirimuuta, Francois Chollet, Joscha Bach, Professor Luciano Floridi
Questions people ask
- What is the protein-folding problem?
- It is a 50-year-old grand challenge in biology that describes how a protein's linear amino acid sequence determines its three-dimensional structure.
- How can AlphaFold help healthcare?
- By solving the protein-folding problem, AlphaFold can accelerate the discovery of new drugs and treatments, potentially transforming the future of medicine.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Hannah Fry.




