In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...

In 2020, news headlines repeated John Moult’s words at the end of a stunning competition: Artificial intelligence had “solved” a long-standing grand challenge in biology, protein structure prediction.

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,” ...

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 ...

Forbes contributors publish independent expert analyses and insights. Sai writes about healthcare, innovation and technology. Alphabet frequently dominates headlines across a variety of sectors and ...

Google DeepMind, the artificial intelligence company behind the popular AlphaFold tool, has published the next generation of the application’s protein structure prediction software. The new tool can ...

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, ...

Biology has always been an unruly science. Cells divide when they want to. Genes switch on and off like temperamental lights.

Researchers identify a shared RNA-protein interaction that could lead to broad-spectrum antiviral treatments for ...