The known protein universe just got a lot bigger. A newly released artificial-intelligence tool has generated an atlas of more than one billion predicted protein structures and billions more protein ...

(L) Senior co-corresponding author M. Madan Babu, PhD, FRS, St. Jude Senior Vice President of Data Science, Chief Data Scientist, Center of Excellence for Data-Driven Discovery director and Department ...

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 ...

On Wednesday, the Nobel Committee announced that it had awarded the Nobel Prize in chemistry to researchers who pioneered major breakthroughs in computational chemistry. These include two researchers ...

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 ...

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 ...

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

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 ...

Drug designers working on protein-level chemistry have long been blocked by a hard computational wall: classical ...