flâneur

AlphaFold: Using AI for scientific discovery - Google DeepMind

deepmind.google · 2,126 words · saved by 1 readers

deepmind.google uses cookies to deliver and enhance the quality of its services and to analyze traffic. If you agree, cookies are also used to serve advertising and to personalize the content and advertisements that you see. Learn more. Latest posts Latest research posts Latest technology posts Latest posts RESEARCH Andrew Senior, John Jumper, Demis Hassabis, Pushmeet Kohli UPDATE: In July 2022, we released AlphaFold protein structure predictions for nearly all catalogued proteins known to science. Read the latest blog here. In our study published in Nature, we demonstrate how artificial intelligence research can drive and accelerate new scientific discoveries. We’ve built a dedicated, interdisciplinary team in hopes of using AI to push basic research forward: bringing together experts from the fields of structural biology, physics, and machine learning to apply cutting-edge techniques to predict the 3D structure of a protein based solely on its genetic sequence. Our system, AlphaFold

January 15, 2020 Science UPDATE: In July 2022, we released AlphaFold protein structure predictions for nearly all catalogued proteins known to science. Read the latest blog here. In our study published in Nature, we demonstrate how artificial intelligence research can drive and accelerate new scientific discoveries. We’ve built a dedicated, interdisciplinary team in hopes of using AI to push basic research forward: bringing together experts from the fields of structural biology, physics, and machine learning to apply cutting-edge techniques to predict the 3D structure of a protein based…

related reading