Great expectations – the potential impacts of AlphaFold DB | EMBL
embl.org · 3,467 words · saved by 1 readers
A discussion of the applications that AlphaFold DB may enable and the possible impact of the resource on science and society.
Great expectations – the potential impacts of AlphaFold DB | EMBL Edit Guest author(s) 22 July 2021 Science & Technology Great expectations – the potential impacts of AlphaFold DB A discussion of the applications that AlphaFold DB may enable and the possible impact of the resource on science and society Protein structural biology. Image credit: Karen Arnott/EMBL-EBI Authors Stephen Cusack, Sebastian Eustermann, Gerard Kleywegt, Jan Kosinski, Julia Mahamid, José Antonio Marquez, Christoph Müller, Thomas Schneider, Janet Thornton, Jessica Vamathevan, Sameer Velankar, Matthias Wilmanns Summary De
saved by
related reading
- AlphaFold: a solution to a 50-year-old grand challenge in biologydeepmind.com
- Highly accurate protein structure prediction with AlphaFoldnature.com
- AlphaFold2 @ CASP14: “It feels like one’s child has left home.” << Some Thoughts on a Mysterious Universemoalquraishi.wordpress.com
- Google DeepMind and Isomorphic Labs introduce AlphaFold 3 AI modelblog.google
- AlphaFolddeepmind.google
- AlphaFold: a solution to a 50-year-old grand challenge in biologydeepmind.google
- How AI Revolutionized Protein Science, but Didn’t End It | Quanta Magazinequantamagazine.org
- Protein World Model | Biohubbiohub.ai
- How we built AlphaFold 3 to predict the structure and interaction of all of life’s moleculesblog.google
- AlphaFold: Using AI for scientific discoverydeepmind.google
- Google DeepMind and Isomorphic Labs introduce AlphaFold 3 AI modelblog.google
- Language models of protein sequences at the scale of evolution enable accurate structure predictionbiorxiv.org