A new statistical model demonstrates the ability to correctly predict the folding mechanisms for both small and large proteins. The function of a protein is determined by its structure. From the rigid ...

Researchers have developed a method to evaluate the folding stability of a million proteins simultaneously. DNA libraries were used to generate protein -- DNA complexes that were treated with enzymes ...

Demis Hassabis (CEO of Deep Mind) and John M. Jumper have useed artificial intelligence to predict the structure of almost all known proteins. David Baker has learned how to master life’s building ...

Researchers from Northwestern University and the Institute for Industrial Science at the University of Tokyo say they have developed a new high-throughput approach known as cDNA display proteolysis to ...

The strategies biopharmaceutical manufacturers currently use to limit protein misfolding are complex, time-consuming, and generate low yields with only limited scalability. Covalent organic frameworks ...

The team behind DeepMind’s protein structure prediction software AlphaFold announced Oct. 31 that it is expanding its model beyond proteins. Ligands, nucleic acids, and post-translational ...

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...

Protein folding raises some of biology's greatest theoretical challenges. It also lies at the root of many diseases. For example, the fundamental question of whether a protein's final tertiary ...

Numerous BYU students, including Mikaila Sass (pictured), worked with Dr. Willardson in his lab on this discovery. The human body heavily relies on protein molecules for proper functioning. Protein ...

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 ...