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 ...

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 ...

Level 3: Unsupervised learning. These machines improve their performance ... in its core ANN so that the responses are more satisfactory to humans. Deepmind’s AlphaFold was so good with predictions ...

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

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 ...

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

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 ...

DeepMind has once again taken a significant step in computational biology with the release of AlphaFold 3’s inference codebase, model weights, and an on-demand server. This update brings unprecedented ...