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 ...

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 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, ...

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 ...

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 ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

Researchers have taken a significant step forward in understanding the stability of proteins by leveraging the power of AI. The research team used AlphaFold2 to explore how mutations affect protein ...

An illustration of an algorithm predicting a protein structure, with digitized blocks on the left becoming ribbons on the right. An illustration of the RoseTTAFold software predicting a protein ...

Scientists have for the first time looked deep into the protein structure that may determine our vision - and discovered that it is much more dynamic than previously thought. RBP3 not only changes its ...