While many businesses continue to seek AI’s killer app, biochemists have already found it. That application is protein folding. This week marks the five-year anniversary of the debut of Alpha Fold 2, ...
AlphaFold shocked the scientific world by solving protein structures with accuracy once thought impossible. Researchers had spent decades trying to predict how proteins fold, often with limited ...
“I’ll be shocked if we don’t see more and more LLM impact on science,” says John Jumper. In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on ...
Proteins are crucial for life. They’re made of amino acids that “fold” into millions of different shapes. And depending on their structure, they do radically different things in our cells. For a long ...
AlphaFold has cracked one of biology’s toughest challenges, unlocking new possibilities for science and medicine. Rep. Marjorie Taylor Greene of Georgia, former Trump loyalist, says she is resigning ...
Alphabet’s Isomorphic Labs is preparing to launch human trials of AI-designed drugs, its president, Colin Murdoch, told Fortune. Born from DeepMind’s AlphaFold breakthrough, the company is pairing ...
Thank you very much for providing this excellent AlphaFold tutorial. I have followed all the steps and successfully ran all modules, and finally obtained a visualization of the predicted structure.
The people behind the original protein modeling tool Alphafold have now developed a newer version, Alphafold 3, which is changing the way that this fundamental technology works. Looking at the changes ...
Last month, Demis Hassabis and John Jumper of Google DeepMind were jointly awarded the 2024 Nobel Prize in Chemistry for their development of AlphaFold 3. This AI model can more accurately predict the ...
With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery. Brief ...
The AI tool AlphaFold has been improved so that it can now predict the shape of very large and complex protein structures. Researchers have also succeeded in integrating experimental data into the ...