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 University has made millions of AI-predicted protein complex structures ...

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 ...

Imagine standing on a vast, dark plain. Without light, you cannot see dips and rolls in the grass or make out hills and valleys. Even if there’s a city off in the distance to your right, it does ...

Proteins are among the most studied molecules in biology, yet new research shows they can still hold surprising secrets. Researchers have discovered previously undetected chemical bonds within ...

Deep learning tools for protein design can also be used to create molecules that bind to them. Certain peptides, such as intrinsically disordered proteins (IDPs), are challenging to target due to ...

For decades, structural biologists shoved what looked like shoddy data in the back of their closets, embarrassed. While attempting to gather the structures of proteins, they would sometimes find that ...

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

Protein demand is reshaping active nutrition in 2026, from RTDs to high‑protein snacks. Discover the fastest‑growing formats and where new growth opportunities lie.