AlphaFold2 @ CASP14: “It feels like one’s child has left home.”
The past week was a momentous occasion for protein structure prediction, structural biology at large, and in due time, may prove to be so for the whole of life sciences. CASP14, the conference for …
The past week was a momentous occasion for protein structure prediction, structural biology at large, and in due time, may prove to be so for the whole of life sciences. CASP14 , the conference for the biennial competition for the prediction of protein structure from sequence, took place virtually over multiple remote working platforms. DeepMind, Google’s premier AI research group, entered the competition as they did the previous time, when they upended expectations of what an industrial research lab can do. The outcome this time was very, very different however. At CASP13 DeepMind made an imp
Explore this link on the map →saved by
related reading
- How AI Revolutionized Protein Science, but Didn’t End It | Quanta Magazinequantamagazine.org
- Great expectations – the potential impacts of AlphaFold DB | EMBLembl.org
- AlphaFold 2 is here: what’s behind the structure prediction miracle | Oxford Protein Informatics Groupblopig.com
- AlphaFold: a solution to a 50-year-old grand challenge in biology — Google DeepMinddeepmind.com
- Google DeepMind and Isomorphic Labs introduce AlphaFold 3 AI modelblog.google
- Unfolding AlphaFold | Towards Data Sciencetowardsdatascience.com
- The Illustrated AlphaFold | Elana Simonelanapearl.github.io
- AlphaFold 2 Explained: A Semi-Deep Divedaleonai.com
- Strengths and limitations of AlphaFold 2 | AlphaFoldebi.ac.uk
- Engineering Plastic-Degrading Enzymes and PCSK9 Binders with Protein AI Toolsblog.latch.bio
- AlphaFold: a solution to a 50-year-old grand challenge in biology — Google DeepMinddeepmind.google
- AlphaFold: Using AI for scientific discovery — Google DeepMinddeepmind.google