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GeezerVison is showing deepmind.google — AlphaFold Slide 1 of 4 AlphaFoldAccelerating breakthroughs in biology with AI     AlphaFold ServerPowered by AlphaFold 3 — AlphaFold Server predicts how proteins will interact with other molecules throughout cells.     AlphaFold Protein Structure DatabaseView over 200 million protein structure predictions to support your research.         Explore the latest AlphaFold has revealed millions of intricate 3D protein structures, and is helping scientists understand how life’s molecules interact.  What is AlphaFold?Proteins underpin every biological process, in every living thing. Made from long chains of amino acids, each has a unique complex 3D structure. But figuring out just one of these can take several years, and hundreds of thousands of dollars. In 2020, AlphaFold solved this problem, with the ability to predict protein structures in minutes, to a remarkable degree of accuracy. That’s helping researchers understand what individual proteins do and how they interact with other molecules. So valuable time and resources can be redirected into advancing research that could help solve society’s biggest medical and environmental challenges.  Timeline of a breakthroughIn November 2020, AlphaFold was recognised as a solution to the 50-year “protein-folding problem”. Slide 1 of 9  13th March 2016 AlphaGo’s success proves AI’s readiness to tackle protein foldingDeepMind’s AlphaGo program defeats legendary Go player Lee Sae Dol in a challenge match in Seoul. This watershed moment demonstrated that DeepMind’s AI techniques were potentially advanced enough to be applied to scientific challenges. A small team is established to start working on protein structure prediction.  2nd December 2018 AlphaFold places first at CASP13AlphaFold’s performance is benchmarked in the 13th Critical Assessment of Protein Structure Prediction (CASP13), placing first in the rankings (under entry A7D). The methods are subsequently published in the scientific journal Nature. The team is expanded, and work begins on an innovative new system.  30th November 2020 AlphaFold is recognised as a solution to the protein folding problem at CASP14AlphaFold2 wins CASP14 by a huge margin and is recognised as a solution to the 50-year-old “protein folding problem” by the organisers of CASP after predicting structures down to atomic accuracy with a median error (RMSD_95) of less than 1 Angstrom - 3 times more accurate than the next best system and comparable to experimental methods.  15th July 2021 AlphaFold’s methodology is published in NatureNature publishes AlphaFold’s detailed methodology in the paper “Highly accurate protein structure prediction with AlphaFold” and DeepMind open sources the code along with 60 pages of supplemental information. To-date, the paper has been cited over 40,000 times in scientific journals.  22nd July 2021 We launch the AlphaFold Protein Structure Database with EMBL-EBA week later, Nature publishes a second DeepMind paper containing the structure predictions of the entire human proteome. In close collaboration with the European Bioinformatics Institute at the European Molecular Biology Laboratory (EMBL-EBI), DeepMind launches the AlphaFold Protein Structure Database (AFDB) to give the scientific community free of charge and open access to the human proteome along with another 20 model organisms - over 350,000 structures in total.  28th July 2022 We share the structures of over 200 million proteins with the research communityIn partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), DeepMind releases the predicted structures for nearly all catalogued proteins known to science, expanding the AFDB to over 200 million structures.  8th May 2024 AlphaFold 3 and AlphaFold Server are launchedGoogle DeepMind and Isomorphic Labs introduce AlphaFold 3, which predicts the structure and interactions of all of life’s molecules. At the same time, Google DeepMind launches AlphaFold Server, a platform that provides scientists free access to AF3 structure prediction capabilities for non-commercial research.  9th October 2024 AlphaFold is recognised by the Nobel CommitteeDemis Hassabis and John Jumper are co-awarded the Nobel Prize in Chemistry for their work on AlphaFold, alongside David Baker for his work on computational protein design.  November 2025 AlphaFold is a global research toolAlphaFold is being used by over 3 million researchers from over 190 countries around the world, tackling problems such as antimicrobial resistance, crop resilience and heart disease.  
Professor John McGeehan Former Director for the Centre for Enzyme Innovation (CEI) Over 2 million researchers in over 190 countries are using the AlphaFold Protein Structure Database to inform their research. Slide 1 of 2  Managing plastic pollution91% of all plastic ever produced has never been recycled. AlphaFold could help us face up to the challenge of cleaning up our world.  Supporting global food supplies40% of the world’s crops are lost to disease each year. AlphaFold could unlock insights that help keep food on tables. AlphaFold’s impactAlphaFold has already made a significant impact. We hope it will eventually help to transform our understanding of the biological world. So far, AlphaFold has predicted over 200 million protein structures – nearly all catalogued proteins known to science. The AlphaFold Protein Structure Database makes this data freely available. So far, it has over three million users from over 190 countries. That means it has already potentially saved millions of dollars and hundreds of millions of years in research time. Meanwhile, AlphaFold Server predicts how proteins will interact with a broad spectrum of biomolecules, accelerating new research. Hundreds of millionsResearch years saved by AlphaFold database structures. Over 1 millionUsers in low and middle income countries. Over 30%Of papers citing AlphaFold are related to the study of disease. Accelerating breakthroughsScientists are using AlphaFold to accelerate research in nearly every field of biology.  
Professor Matthew Higgins Biochemist AlphaFold Server Powered by AlphaFold 3 — AlphaFold Server predicts how proteins will interact with other molecules throughout cells.Try AlphaFoldA powerful suite of tools, helping the scientific community advance research. |
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