In the latest step to tackle biology’s data scaling law, Basecamp Research has announced BaseData, the largest database for sequence-based model training, composed of 9.8 billion new protein sequences ...

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 ...

For all the excitement surrounding AlphaFold and the surge of AI‑driven protein design tools, one fact often goes unexamined: nearly every model is trained on databases of known proteins. These ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to optimize a protein function, researchers modify proteins by switching out one of ...

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 ...

The genetic code has given rise to the enormous diversity of proteins we see in nature—and rearranging the order of codons that make up a protein’s sequence leads to an immense variety of structure ...

Generative artificial intelligence has entered a new frontier of fundamental biology: helping scientists to better understand proteins, the workhorses of living cells. Scientists have developed two ...

Efforts to unlock the mysteries of proteins, building blocks of life, have earned three scientists the 2024 Nobel Prize in chemistry. The prize goes to David Baker “for computational protein design,” ...

To ensure a robust domestic supply chain in the U.S., Lawrence Livermore National Laboratory (LLNL) scientists are using ...

(spidroins) through long-read transcriptomics across a broad phylogenetic range, with theoretical implications for protein family evolution, biomaterials, and silk biology. By identifying putative ...