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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?
Hosted on Acast. See acast.com/privacy for more information.
By Springer Nature Limited4.5
716716 ratings
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?
Hosted on Acast. See acast.com/privacy for more information.

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