AlphaFold 3 can predict protein structures and interactions, and now researchers around the world can use it freely.

Google DeepMind releases AlphaFold 3's source code to academics, marking a significant advance in AI-powered molecular biology and drug discovery, while balancing open science with commercial ...

Google DeepMind, the tech giant’s AI research lab, has just open-sourced its AlphaFold 3 protein prediction model. That means ...

AlphaFold 3’s predecessor could predict protein structures The AI model is available for academic purposes only DeepMind ...

The new system, called AlphaFold 3, can model the ways in which proteins “read” our DNA and then carry out the instructions ...

Now there’s a sequel: AlphaFold 3, released in May, predicts how proteins interact with DNA and other molecules. “AlphaFold 2 was a story about proteins,” Jumper says. “AlphaFold 3 is ...

Scientists from Université de Lille, France, Linköping University, Sweden, and collaborating institutions have introduced ...

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 ...

The big picture: The new AlphaFold 3 can predict what interactions between nearly all of the molecules that form the basis of life look like — and that could open roads to new drugs or more ...

AI-human collaboration in a "Virtual Lab" successfully designs and experimentally validates nanobodies with enhanced binding ...

Researchers developed MassiveFold, an enhanced AlphaFold version optimized for parallel processing, which accelerates protein ...

The AI tool AlphaFold has been improved so that it can now predict the shape of very large and complex protein structures.