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

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

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

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

Researchers at DeepMind have proudly announced a major break-through in predicting static folded protein structures with a new program known as AlphaFold 2. Protein folding has been an ongoing ...

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 ...

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

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 ...

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

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 ...

The AI tool AlphaFold has been improved so that it can now predict the shape of very large and complex protein structures. Researchers have also succeeded in integrating experimental data into the ...