Managing plastic pollution
91% of all plastic ever produced has never been recycled. AlphaFold could help us face up to the challenge of cleaning up our world.
Accelerating breakthroughs in biology with AI
Powered by AlphaFold 3 — AlphaFold Server predicts how proteins will interact with other molecules throughout cells.
View over 200 million protein structure predictions to support your research.
Access the AlphaFold 3 model code and weights for academic use.
AlphaFold has revealed millions of intricate 3D protein structures, and is helping scientists understand how life’s molecules interact.
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.
What took us months and years to do, AlphaFold was able to do in a weekend.
Over 2 million researchers in over 190 countries are using the AlphaFold Protein Structure Database to inform their research.
91% of all plastic ever produced has never been recycled. AlphaFold could help us face up to the challenge of cleaning up our world.
40% of the world’s crops are lost to disease each year. AlphaFold could unlock insights that help keep food on tables.
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 two million users in 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.
Research years saved by AlphaFold database structures.
Users in low and middle income countries.
Of papers citing AlphaFold are related to the study of disease.
AlphaFold has allowed us to take our project to the next level, from a fundamental science stage to the preclinical and clinical development stage.
View over 200 million protein structure predictions to support your research.
AlphaFold Server predicts how proteins will interact with other molecules throughout cells.
Access the AlphaFold 3 model code and weights for academic use.