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

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

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 ...

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 ...

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

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

The development of new machine learning tools like Alphafold and Rfdiffusion has allowed scientists to predict the structure of proteins and design them for drug discovery purposes, among other uses.

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

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