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Home Artificial Intelligence

Google DeepMind wins joint Nobel Prize in Chemistry for protein prediction AI

Solega Team by Solega Team
October 10, 2024
in Artificial Intelligence
Reading Time: 2 mins read
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Google DeepMind wins joint Nobel Prize in Chemistry for protein prediction AI
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Hassabis and Jumper created AlphaFold, which in 2020 solved an issue scientists have been wrestling with for many years: predicting the three-dimensional construction of a protein from a sequence of amino acids. The AI instrument has since been used to predict the shapes of all proteins known to science.

Their newest mannequin, AlphaFold 3, can predict the structures of DNA, RNA, and molecules like ligands, that are important to drug discovery. DeepMind has additionally released the source code and database of its outcomes to scientists without cost. 

“I’ve devoted my profession to advancing AI due to its unparalleled potential to enhance the lives of billions of individuals,” stated Demis Hassabis. “AlphaFold has already been utilized by greater than two million researchers to advance crucial work, from enzyme design to drug discovery. I hope we’ll look again on AlphaFold as the primary proof level of AI’s unbelievable potential to speed up scientific discovery,” he added.

Baker has created a number of AI instruments for designing and predicting the construction of proteins, similar to a family of programs called Rosetta. In 2022, his lab created an open-source AI instrument referred to as ProteinMPNN that would assist researchers uncover beforehand unknown proteins and design totally new ones. It helps researchers who’ve a precise protein construction in thoughts discover amino acid sequences that fold into that form.

Most lately, in late September, Baker’s lab introduced it had developed custom molecules that permit scientists to exactly goal and get rid of proteins related to ailments in dwelling cells. 

“[Proteins] advanced over the course of evolution to resolve the issues that organisms confronted throughout evolution. However we face new issues in the present day, like covid. If we may design proteins that have been pretty much as good at fixing new issues as those that advanced throughout evolution are at fixing outdated issues, it will be actually, actually highly effective,” Baker instructed MIT Technology Review in 2022.  

This text has been up to date with a quote from Demis Hassabis.



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