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

In 2020, Google DeepMind unveiled AlphaFold 2, a machine-learning algorithm that in 2022 would prove capable of predicting, with near-experimental accuracy, the structure of nearly every known ...

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 ...

It was trained and developed on Google’s supercomputers. AlphaFold 2, the second iteration of the program, is accessible via its open-source code and a public database of protein structure ...

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

AI-human collaboration in a "Virtual Lab" successfully designs and experimentally validates nanobodies with enhanced binding ...

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

Subscribe for FREE EMBL partnered with Google DeepMind to make the AlphaFold 2 predictions freely and openly available to all, through the AlphaFold Protein Structure Database. The team from EMBL’s ...

Since AlphaFold was first launched in 2021, it was improved upon with the launch of AlphaFold 2 in 2022, an update that extended the range of proteins covered and added new organisms used in ...

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

Google suddenly finds itself with two Nobel laureates on its staff. On Wednesday, the Royal Swedish Academy of Sciences ...