Scientists at St. Jude Children's Research Hospital have created a database that provides updated predicted structures on a regular basis, ensuring scientists can work with the most current ...

Harnessing the power of AI, a research team at the MRC-University of Glasgow Center for Virus Research has launched Viro3D—the most comprehensive database of human and animal virus protein structure ...

Proteins are the molecular workhorses of cells. To understand their functions, scientists soon realized that they had to figure out proteins’ shapes. But solving a protein structure is a challenging ...

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 ...

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 ...

AlphaFold An artificial intelligence system developed by Google DeepMind that predicts three-dimensional protein structures from amino acid sequences and, in AlphaFold 3, models biomolecular complexes ...

From combating cancer and infections to storing energy, lipid-protein interactions are critical to biological processes in cells. But the mechanisms that drive these interactions have historically ...

Slime mould Dictyostelium discoideum protein complex Q55DI5 (AF-0000000066503175), annotated as a transcription elongation factor. The single chain looked disordered, but modelling the homodimer ...

Recently, SandboxAQ launched what it claims is the largest publicly available dataset of protein-ligand pairs with annotated experimental binding potency data. According to the company, the ...

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, ...