4.4 • 859 Ratings
🗓️ 29 November 2024
⏱️ 15 minutes
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AI tools that help researchers design new proteins have resulted in a boom in designer molecules. However, these proteins are being churned out faster than they can be made and tested in labs.
To overcome this, multiple protein-design competitions have popped up, with the aim of sifting out the functional from the fantastical. But while contests have helped drive key scientific advances in the past, it's unclear how to identify which problems to tackle and how best to select winners objectively.
This is an audio version of our Feature: AI has dreamt up a blizzard of new proteins. Do any of them actually work?
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1:04.4 | This is an audio long read from nature. |
1:07.3 | In this episode, AI has dreamt up a blizzard of new proteins. Do any of them actually work? |
1:14.6 | Written by Ewan Calloway and read by me, Benjamin Thompson. |
1:20.1 | On a Saturday morning in mid-August, Alex Nacker embarked on what he describes as, quote, a little hackathon, end quote, in his girlfriend's kitchen. |
1:31.8 | Powered by his laptop, some coffee, and, at one point, about 80 cloud-based artificial intelligence or AI processors, |
1:40.1 | he generated scores of computer-engineered proteins, designed to block a cell receptor that is |
1:47.5 | mutated in some tumours. Naka, who on weekdays is a protein engineer at a medical technology |
1:54.8 | company in Alameda, California, entered his 10 most promising creations into a newly launched protein design competition |
2:02.6 | and watched them climb to the top of the leaderboard. |
2:06.5 | The contest, run by a biotechnology startup firm called Adaptive Bio in Lausanne, Switzerland, |
2:13.4 | is one of at least five to have popped up over the past year or so. Most of the people |
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