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We Solved the Protein Folding Problem… Now What?

2025-06-07 Science & Technology
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Description

Can AI help us model biology down to the molecular level? Neil deGrasse Tyson, Chuck Nice, and Gary O’Reilly learn about Nobel-prize-winning Alphafold, the protein folding problem, and how solving it could end disease with AI researcher and Chief AI Officer of Isomorphic Labs, Max Jaderberg. We break down the protein folding problem and why it was so hard to crack. How do we learn to decode how strings of amino acids fold into complex, dynamic shapes that power our biology? How did AlphaFold crack this decades-old puzzle? We explore how Alphafold 3 uses the shapes of proteins to predict protein-drug interactions. How close are we to using AI and deep learning to design new medicines instead of discovering them by chance? Could generative AI invent molecules that precisely target the cause of a disease? We take these ideas into the future: Could AI help us fix misfolded proteins that cause illness? Can we use these tools to create personalized drugs tailored to your unique genome? Will it make it economically feasible to treat rare diseases? Could this even help us slow aging or regenerate limbs, like salamanders do? Could this technology combat cancer, fix rare genetic disorders, or even digest plastic? And with quantum computing on the horizon, what happens when we combine it with AI? Will chemistry ever be done the same way again? Thanks to our Patrons Riley r, pesketti, Lindsay Vanlerberg, Andreas, Silvia Valentine, Brazen Rigsby, Marc, Lyda Swanston, Kevin Henry, Roberto Reyes, Cadexn, Cassandra Shanklin, Stan Adamson, Will Slade, Zach VanderGraaff, Tom Spalango, Laticia Edmonds, jason scott, Jigar Gada, Robert Jensen, Matt D., TOL, Thomas McDaniel, Sr., Ryan Ramsey, truthmind, Aaron TInker, George Assaf, Dante Ruzinok, Jonathan Ford, Just Ernst, David Eli Janes, Tamil, Sarah, Earnest Lee, Craig Hanson, Rob, Be Love, Brandon Wilson, TJ Kellysawyer, Bodhi Animations, Dave P., Christina Williams, Ivaylo Vartigorov, Roy Mitsuoka (@surflightroy), John Brendel, Moises Zorrilla, deborah shaw, Jim Muoio, Tahj Ward, Phil, Alex, Brian D. Smith, Nate Barmore, John J Lopez, Raphael Velazquez Cruz, Catboi Air, Jelly Mint, Audie Cruz for supporting us this week. Timestamps: 00:00 - Introduction: Max Jaderberg 3:22 - Deeplearning & Neural Networks 8:36 - The Protein Folding Problem 11:45 - Alphafold & Modelling Protein Structure 16:42 - Using AI for Drug Discovery 23:04 -The Root of All Disease 27:00 - Upending the Pharmaceutical Industry 29:35 - Bespoke Medicine 33:45 - Upending Chemistry 35:21 - Can We Model an Entire Human? 39:05 - Upgrading for Space 43:38 - Less Side Effects 44:36 - Modelling with Quantum Computing & More 46:50 - Guardrails & Regulation Check out our second channel, @StarTalkPlus Get the NEW StarTalk book, 'To Infinity and Beyond: A Journey of Cosmic Discovery' on Amazon: https://amzn.to/3PL0NFn Support us on Patreon: https://www.patreon.com/startalkradio FOLLOW or SUBSCRIBE to StarTalk: Twitter: http://twitter.com/startalkradio Facebook: https://www.facebook.com/StarTalk Instagram: https://www.instagram.com/startalk About StarTalk: Science meets pop culture on StarTalk! Astrophysicist & Hayden Planetarium director Neil deGrasse Tyson, his comic co-hosts, guest celebrities & scientists discuss astronomy, physics, and everything else about life in the universe. Keep Looking Up! #StarTalk #NeildeGrasseTyson

Top Comments (10)

@MrModez 2025-06-08

I was genuinely curious to what Max was saying and you guys kept interrupting him and not letting him finish - it's painful to watch...

308 19 replies
@iamscotty_ 2025-06-07

4:42 “this pixel, this pixel, this pickle”

299 8 replies
@maggiecu3657 2025-06-07

Chuck is such a renaissance man. His questions are always so insightful yet accessible and he'll manage to make us laugh at the same time. Good stuff!

294 13 replies
@FredFregoso-bx3bc 2025-06-07

PhD in biochemistry and molecular biophysics here. I absolutely love this conversation to share with the general the general public to demystify this topic. I want to add another layer regarding the molecular basis of protein folding. The amino acids that Max Jaderberg mentioned are comprised of atoms like Carbon, Nitrogen, and Oxygen (with some two containing Sulfur). In an amino acid, the Nitrogen atom can exhibit a positive charge, while the Oxygen can exhibit a negative charge. Since opposite charges attract, an amino acid for example in the start of the string can interact with an amino acid farther down the string, thus "folding" the string. This is called electrostatic interactions of amino acids. When these proteins are being made in the cell, they are assembled one amino acid at a time by a molecular machine (called the ribosome) where you can think about it as a sort of a conveyer belt emerging from a sorting box. Because these amino acids are incorporated one at a time, the charges of the first amino acid would interact would the charges of the second amino acid attached immediately. Then as more amino acids are added and the string gets longer, the electrostatic landscape of the string changes and creates more intricate folding to optimally pair opposite charges. The protein fold that is the final product represents the most stable pairing of positive and negative charges. Therefore, when it comes to human disease that arise from amino acid mutations in the string, this disrupts how the protein would normally fold and results in a unstable protein that would then either not do the job its supposed to do or get thrown to the garbage can of the cell. Apologies for the lengthy explanation!

264 28 replies
@StarTalk 2025-06-07

If AI could design custom medicines just for you, firstly would you trust it? Secondly, what kind of breakthrough would you hope it solves (i.e. cancer, aging, rare diseases, or something else)?

117 75 replies
@6dark6star6 2025-06-07

This is the kind of news that needs to go viral.

78 5 replies
@changeorbeextinct 2025-06-07

"To a jelly fish we all look the same" - Neil Tyson

77
@pikeyMcBarkin 2025-06-07

Look at Chuck bringing the real questions!

58 2 replies
@dustman96 2025-06-08

Chuck is self deprecating, but has some of the best insights and questions of anyone out there.

35 3 replies
@habi-tahti 2025-06-07

When I was a kid, my dad was a chemist and he DID come home smelling like chemicals. My mom would make him undress in the garage after he came home and out his clothes directly in the closet. He worked on acetaminophen.

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