AI protein-prediction tool AlphaFold3 is now open source - Nature
3 天之前 · What’s next for AlphaFold and the AI protein-folding revolution ... News Feature 13 NOV 24. Foundation models for fast, label-free detection of glioma infiltration. Article 13 NOV 24.
Contextual AI models for single-cell protein biology - Nature
2024年7月22日 · We compare contextualized and context-free protein representations for binding proteins (that is, PD-1/PD-L1 and B7-1/CTLA-4) and nonbinding proteins (that is, one of the four binding...
AI protein shake-up | Nature Machine Intelligence
2024年2月23日 · Nature Machine Intelligence - One of the most successful areas for deep learning in scientific discovery has been protein predictions and engineering. We take a closer look at four studies in...
Google DeepMind releases code behind its most advanced protein …
3 天之前 · Google DeepMind. Better late than never: Google DeepMind has today released the computer code underlying its latest artificial intelligence (AI) protein prediction software to an eager research community. Many scientists are pleased by the move, though some remain upset it took 6 months for the company to reach this point.
Science's 2021 Breakthrough of the Year: AI brings protein ...
2021年12月16日 · Now, after nearly 50 years, researchers have shown that artificial intelligence (AI)-driven software can churn out accurate protein structures by the thousands—an advance that realizes Anfinsen’s dream and is Science ’s 2021 Breakthrough of the Year. Protein structures could once be determined only through painstaking lab analyses.
Chemistry Nobel Awarded for an AI System That Predicts Protein …
2024年10月11日 · The Nobel prize for Chemistry has been awarded this year for work on the computational design and structural prediction of protein molecules. Half of the prize goes to David Baker of the University of Washington and half jointly to Demis Hassabis and John M. Jumper of the artificial intelligence (AI) company Google DeepMind, based in London.
Press release: The Nobel Prize in Chemistry 2024 - NobelPrize.org
2024年10月9日 · Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. These discoveries hold enormous potential. The diversity of life testifies to proteins’ amazing capacity as chemical tools. They control and drive all the chemical reactions that together are the basis of life.
How AI protein structure prediction and design won the Nobel prize
2024年10月17日 · The tools developed by the DeepMind team and Baker’s lab use AI to tackle two related problems that have captivated scientists for decades: how to determine a protein’s structure given only the sequence of amino acids that is made from, and how to create new proteins that take on shapes and perform functions never before seen in nature.
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Feature
THE AI PROTEIN-FOLDING REVOLUTION. AlphaFold, software that can predict the 3D shape of proteins, is already changing biology. By Ewen Callaway. 234 | Nature | Vol 604 | 14 April 2022. cells....
AI-enhanced protein design makes proteins that have never …
2023年2月23日 · Protein engineers are drawing on rapidly evolving machine learning tools, deep reservoirs of data, and the structure-predicting firepower of AlphaFold2 to pursue more sophisticated de novo...