AlphaFold Uses AI to Predict Protein Folding
A revolution in bioinformatics is now here
AlphaFold Uses AI to Predict Protein Folding
JD Berkowitz 2 November, 2021
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The world will never be the same. Perhaps one of the biggest scientific accomplishments since the discovery of the human genome, the scientists at DeepMind introduce AlphaFold, the world's first high fidelity tool for predicting the shape of folded proteins.

DeepMind has released high-quality predictions for the shape of every single protein in the human body, as well as for the proteins of 20 additional organisms that scientists rely on for their research.

This is the most significant contribution AI has made to advancing scientific knowledge to date, and is a great example of the benefits AI can bring to humanity.

AlphaFold is a database of over 350,000 protein structures from 20 biologically-significant organisms. In the coming months they plan to vastly expand the coverage to almost every sequenced protein known to science - over 100 million structures covering most of the UniProt reference database. The system and database will periodically be updated as they continue to invest in future improvements to AlphaFold.

This is just the start of what they hope will be a revolution in structural bioinformatics. The AlphaFold Protein Structure Database was created by DeepMind, a London-based artificial intelligence company. The database is open and free to all scientists around the world who want to explore the protein structure of the human proteome.

They believe AI has the potential to revolutionize how science is done in the 21st century. To learn more, head over to Nature to read our peer-reviewed papers describing our full method, and the human proteome.

This article was summarized using an experimental AI. The Original article can be found at DeepMind 

Read more at Nature


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