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 ...

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 ...

Predicting which proteins bind to each other, or protein-protein interactions, has been a challenge for methods based in computational biology. One of the reasons is primarily due to the vast ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

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, ...

Matthew Addicoat receives funding from EPSRC and the Royal Society. Using computers to carry out protein design and for predicting protein structures are two sides of the same coin. They are ...

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 ...

Proteins are essential macromolecules that play a crucial role in virtually all biological processes. They are the building blocks of life, performing a wide range of functions within organisms, from ...