deepmind DeepMind Releases AI-Predicted Structures for All Known Proteins DeepMind uses its AlphaFold AI to predict the shapes of hundreds of thousands of proteins and plans to release over 100 million more in the coming months. This massive database gives scientists instant access to structural data that previously took months to map in a lab.
deepmind DeepMind AI Unlocks Structures for Every Known Protein DeepMind uses its AlphaFold AI to predict the shapes of hundreds of thousands of proteins and plans to map over 100 million more in the coming months. This massive database gives scientists instant access to crucial biological structures that previously took months to uncover in the lab.
deepmind DeepMind Opens Massive Protein Structure Database With Full Human Proteome DeepMind releases a vast open-access database of protein structures predicted by its AlphaFold AI system. The database includes predicted structures for the entire human proteome alongside numerous other organisms.
deepmind DeepMind and EMBL Unveil Open Database of Human Protein Structures DeepMind and EMBL partner to release the most complete database of predicted 3D human protein structures. This open-source tool more than doubles the known high-accuracy protein structures to accelerate global scientific research.
deepmind DeepMind and EMBL Unveil Open Database of All Human Protein Structures DeepMind and EMBL partner to release the most complete database of predicted 3D human protein structures. This open resource more than doubles the known high-accuracy protein structures available to scientists.
deepmind DeepMind Database Provides Predicted Structures for 200 Million Proteins DeepMind expands its AlphaFold database to include predicted structures for over 200 million known proteins, offering a massive free resource for global scientific research.
deepmind 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 DeepMind AGI Research Highlights Widespread Unreadiness for Ethical AI A groundbreaking DeepMind paper argues that reinforcement learning accelerates the path to artificial general intelligence, raising urgent ethical concerns.
alphafold AlphaFold Advances Honeybee Health Through Protein Research European scientists leverage AlphaFold to decode a crucial immunity protein in honeybees, enabling new conservation and breeding strategies.
alphafold AlphaFold Transforms Bee Conservation Through Immunity Protein Research European scientists leverage AlphaFold to decode a crucial honeybee immunity protein, paving the way for AI-driven breeding programs and stronger pollinator populations.
artificial intelligence Transformer and Graph Neural Networks Lead AI Breakthroughs This Year Artificial intelligence evolves rapidly in 2021, with Transformer models and Graph Neural Networks driving major breakthroughs across diverse industries.
alphafold 2 DeepMind's AlphaFold 2 Solves Protein Folding Problem at CASP14 Google DeepMind's AlphaFold 2 achieves unprecedented accuracy in predicting protein structures during the CASP14 competition. This breakthrough promises to accelerate drug discovery and transform biological research.
alphafold DeepMind AI Solves 50-Year Protein Folding Challenge Alphabet's DeepMind team wins a major biennial contest by using its AlphaFold AI to accurately predict the 3D structures of complex proteins, a breakthrough that promises to accelerate disease treatment research.
alphafold2 DeepMind's AlphaFold2 Solves Protein Structure Prediction at CASP14 DeepMind's AlphaFold2 achieves a groundbreaking leap at CASP14, prompting organizers to declare the single-protein structure prediction problem as solved.
deepmind DeepMind's AlphaFold 2 Makes Strides but Does Not Solve Protein Folding Despite winning the CASP14 competition, DeepMind's AI system only matches experimental structures about two-thirds of the time. Experimental biologists are still essential for verifying these computational predictions.