Subvolts take AI's protein-folding solution could transform medicine. Hear from the creators. Jan 25, 2022
For you
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.
Hype note
4/5Big

This episode discusses a major scientific AI breakthrough with significant implications for medicine, featuring key researchers.

Google DeepMind: The Podcast · Ep 1 Episode Official · Google

A breakthrough unfolds

39 min Interview Hosts: Hannah Fry
0:0039:14

Audio streams from Hannah Fry. Your place is remembered on this device.

From Subvolts

Summary and analysis by Subvolts editorial, AI-assisted.

Summary

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.

Explained simply

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.

Why listen

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.

On the mic
  • 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
About
Key facts
  • 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
Show notes from Hannah Fry

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/

Jargon decoded
protein-folding problem
John Jumper, DeepMind
A major biology challenge about how a protein's shape forms from its building blocks.
Published
Show
Google DeepMind: The Podcast · Hannah Fry
Length
39 min
Companies
Google
Products
AlphaFold
Summary by
Subvolts, using an AI model (how we work). Spotted a mistake? Tell us.

Same guests, other shows

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.