Scientists spend years in laboratories mapping protein structures. But last year, DeepMind's AlphaFold program was able to ...

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 ...

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

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 ...

Then in October, Hassabis and DeepMind director John Jumper (pictured together above) scooped one half of the Nobel Prize in Chemistry for their work on AlphaFold, which has helped accelerate research ...

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

The code underlying the Nobel-prize-winning tool for modelling protein structures can now be downloaded by academics.

AI could be the ultimate tool to help accelerate scientific discovery. We’ve been working toward this goal for more than 20 years.

In May 2024, Google DeepMind released AlphaFold 3, a game changing protein folding model that predicts with 50% better ...

In a remarkable convergence of biology and artificial intelligence (AI), AlphaFold has emerged as a game-changer in the quest to understand the building blocks of life. Developed by DeepMind ...