Accelerating the race against antibiotic resistance
Unlocking a decade of data in minutes to help beat antibiotic resistance
Tracing the evolution of proteins back to the origin of life
Looking into a protein’s past to unlock the mysteries of life itself
How the honeybee could help protect species around the world
New insights into immunity to help protect the world’s flora
AlphaFold transforms biology for millions around the world
Big data that leads to discoveries that benefit everyone
Advancing discovery of better drugs and medicine
Researchers are designing more effective drugs than ever before
Creating plastic-eating enzymes that could save us from pollution
Helping plastics become 100% recyclable
AlphaFold unlocks one of the greatest puzzles in biology
Piecing together one of the largest molecular structures in human cells
Accelerating the race against antibiotic resistance
Unlocking a decade of data in minutes to help beat antibiotic resistance
AlphaFold reveals the structure of the protein universe
Today, 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.
AlphaFold reveals the structure of the protein universe
Today, 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.
Putting the power of AlphaFold into the world’s hands
When we announced AlphaFold 2 last December, it was hailed as a solution to the 50-year old protein folding problem. Last week, we published the scientific paper and source code explaining how we created this highly innovative system, and today we’re sharing 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.
Putting the power of AlphaFold into the world’s hands
When we announced AlphaFold 2 last December, it was hailed as a solution to the 50-year old protein folding problem. Last week, we published the scientific paper and source code explaining how we created this highly innovative system, and today we’re sharing 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.
The virtuous cycle of AI research
We recently caught up with Petar Veličković, a research scientist at DeepMind. Along with his co-authors, Petar is presenting his paper The CLRS Algorithmic Reasoning Benchmark at ICML 2022 in Baltimore, Maryland, USA.
The virtuous cycle of AI research
We recently caught up with Petar Veličković, a research scientist at DeepMind. Along with his co-authors, Petar is presenting his paper The CLRS Algorithmic Reasoning Benchmark at ICML 2022 in Baltimore, Maryland, USA.
Perceiver AR: general-purpose, long-context autoregressive generation
We develop Perceiver AR, an autoregressive, modality-agnostic architecture which uses cross-attention to map long-range inputs to a small number of latents while also maintaining end-to-end causal masking. Perceiver AR can directly attend to over a hundred thousand tokens, enabling practical long-context density estimation without the need for hand-crafted sparsity patterns or memory mechanisms.