AlphaFold has already accelerated and enabled massive discoveries, including cracking the structure of the nuclear pore complex. Determining the 3D structure of a protein used to take many months or years, it now takes seconds. "AlphaFold is the singular and momentous advance in life science that demonstrates the power of AI. All 200+ million structures will also be available for bulk download via Google Cloud Public Datasets, making AlphaFold even more accessible to scientists around the world. Today’s update means that most pages on the main protein database UniProt will come with a predicted structure. In partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), we’re now releasing predicted structures for nearly all catalogued proteins known to science, which will expand the AlphaFold DB by over 200x - from nearly 1 million structures to over 200 million structures - with the potential to dramatically increase our understanding of biology. Today, I’m incredibly excited to share the next stage of this journey. Just twelve months later, AlphaFold has been accessed by more than half a million researchers and used to accelerate progress on important real-world problems ranging from plastic pollution to antibiotic resistance. That hope has become a reality far quicker than we had dared to dream. We hoped this groundbreaking resource would help accelerate scientific research and discovery globally, and that other teams could learn from and build on the advances we made with AlphaFold to create further breakthroughs. And, because a protein’s shape is closely linked with its function, knowing a protein’s structure unlocks a greater understanding of what it does and how it works. Proteins are the building blocks of life, they underpin every biological process in every living thing. It’s been one year since we released and open sourced AlphaFold, our AI system to predict the 3D structure of a protein just from its 1D amino acid sequence, and created the AlphaFold Protein Structure Database (AlphaFold DB) to freely share this scientific knowledge with the world.
To read about all our work on solving protein folding, go to /AlphaFold or read a timeline of the breakthrough here.
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