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

A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to read peptide sequences with far greater accuracy than previous methods.

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

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

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 ...

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 ...

Protein demand is reshaping active nutrition in 2026, from RTDs to high‑protein snacks. Discover the fastest‑growing formats ...