DeepMind Expands AlphaFold Database to 200 Million Protein Structures
DeepMind dramatically scales up its AlphaFold database by releasing predicted structures for over 200 million proteins. This massive expansion covers nearly every known protein and accelerates global scientific research.
DeepMind releases predicted structures for over 200 million proteins, effectively covering nearly every known protein on Earth. This massive expansion of the AlphaFold database provides scientists with an unprecedented look at the 3D shapes of proteins across millions of different species.
The database relies on DeepMind's advanced AlphaFold algorithm to accurately predict protein structures without the need for time-consuming traditional laboratory methods. By making this vast collection of data openly available, researchers save countless hours of experimental work and gain immediate access to structural information that was previously unknown.
This release represents a major leap forward for the fields of biology and medicine. Scientists now use these predicted structures to tackle complex problems like disease research, drug discovery, and enzyme engineering, fundamentally accelerating the pace of global scientific discovery.