Using a tool to solve a protein's structure, for most researchers in the world of structural biology and computational chemistry, is not unlike using the Rosetta Stone to unlock the secrets of ancient ...

A new artificial intelligence model can predict how different proteins may bind to DNA. A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how ...

Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction. Researchers from Cleveland Clinic and IBM recently ...

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

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 ...

Researchers led by  Dr. Xavier Salvatella have uncovered the mechanism by which an experimental drug is able to block intrinsically disordered proteins, which were previously considered “undruggable”.

Intrinsically disordered proteins lack a fixed structure, which is why they have been considered "undruggable" targets for ...