Google’s DeepMind division used AlphaFold, an AI system it built internally, to make predictions about the structures of nearly all proteins currently known to science.

Scientists can access the protein structures predicted by Alphabet’s artificial intelligence system through UniProt, a freely available data repository for proteins.

DeepMind expects the data to speed up new drug discovery and enhance research in a variety of other fields as well. DeepMind.

Amino acids are the building blocks of proteins, which are the building blocks of life. As many as twenty different amino acids interact in a variety of ways.

A protein’s behavior is directly influenced by its structure. This means that determining the structure of a protein is a critical first step in many studies.

It’s taken decades of research for scientists to build algorithms that can predict the shape of a protein based on the amino acids it contains.

AlphaFold was first described by the Alphabet unit in 2018 and a fresh version of the AI system with enhanced capabilities was revealed two years later.

One million predicted protein structures disclosed previously by DeepMind have already been used by more than 500,000 researchers, according to the company.