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

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 ...

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.

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

Last month, Demis Hassabis and John Jumper of Google DeepMind were jointly awarded the 2024 Nobel Prize in Chemistry for their development of AlphaFold 3. This AI model can more accurately predict ...

AlphaFold was our solution to this problem—and it was recognized with this year’s Nobel Prize in Chemistry. AlphaFold learns ...

With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery.

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