The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.

A new collaboration between EMBL's European Bioinformatics Institute (EMBL-EBI), Google DeepMind, NVIDIA, and Seoul National ...

The shape, or structure, of proteins determines how they work, making it essential for researchers to have access to high-quality structural models. St. Jude Children's Research Hospital investigators ...

Four-way collaboration brings together world-leading AI and biological expertise to make AI-predicted protein complex ...

Leveraging AI and quantum calculations, scientists developed a new tool that yielded higher-quality structural information ...

The genomes of phages—viruses that infect bacteria—are largely composed of "dark matter": genes that encode proteins whose functions remain unknown. Less than four years ago, a team led by Prof. Rotem ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

Using a tool to solve a protein's structure, for most researchers in the world of structural biology and computational ...

Advanced proteomics and AI reveal blood protein changes, offering insights into early Alzheimer's detection and ...