Thousands of 3D protein structures locked up in big-pharma vaults will be used to create a new AI tool that won’t be open to ...

Researchers at Google DeepMind have developed AlphaFold 3, an AI model that can predict the structure of and interactions between biological molecules including proteins, DNA and RNA, and small ...

The new iteration is called AlphaFold 3. In their study published in the journal Nature, the group used diffusion techniques to make improvements to the underlying architectural model of the ...

Now, AlphaFold 3 has widened the reach of the artificial intelligence-powered platform even further. Along with greater accuracy for the prediction of 3D protein structures, it offers a big ...

Notably, the next wave of AI models, such as AlphaFold 3 and AlQuraishi’s OpenFold3, have moved toward understanding protein-ligand interactions, a focus area crucial for drug discovery yet ...

Imagine standing on a vast, dark plain. Without light, you cannot see dips and rolls in the grass or make out hills and ...

The latest version, AlphaFold 3, developed by Google DeepMind and Isomorphic Labs, is reshaping the field of structural biology and providing invaluable insights for drug design. The third ...

With the 2018 release of AlphaFold, an AI deep learning model, scientists were finally able to predict the 3D structure of proteins—a decades-old challenge in biology. Trained on 100,000 known protein ...

View Full Profile. Learn about our Editorial Policies. Jumper and Hassabis led the AlphaFold team that revolutionized the field of structural biology by accelerating the process of protein structure ...

“Public data is hitting its limit. The real breakthroughs can only happen through increased amounts of data and of course, tapping into industrial data,” so says Robin Roehm, CEO and co ...