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

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. Brief ...

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

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 ...

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

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 ...

Researchers at Pacific Northwest National Laboratory used artificial intelligence to analyze protein nanoribbons, pointing to ...

In the wee hours of an October morning, David Baker, a protein biologist at the University of Washington (UW), received the most-awaited phone call in a scientist’s career. Halfway around the world, ...

When a protein folds, its string of amino acids wiggles and jiggles through countless conformations before it forms a fully folded, functional protein. This rapid and complex process is hard to ...

Advanced proteomics and AI reveal blood protein changes, offering insights into early Alzheimer's detection and differentiation from mild cognitive impairment.