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 ...

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 ...

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

Newton's laws enabled the Industrial Revolution. Now AI is predicting protein structures faster than traditional lab methods.

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 ...

On the heels of the 2024 US presidential election, AI search startup Perplexity launched a new platform that aims to keep ...