Proteins are constantly moving, but our structures of them are static. Clare Sansom talks to the researchers using ...

Researchers used an existing anti-inflammatory drug to disrupt cancer cells’ ability to adapt by reprogramming their chromatin structure — their ... Chromatin — a group of macromolecules including DNA ...

A predictive biophysical model that integrates protein-DNA structures and sequences to accurately determine genomic binding sites and affinities of DNA-binding proteins.

To print microscopic structures, scientists need to inject a liquid material called a photoresist into the cell. This special ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

The latest version of Google DeepMind and Isomorphic Labs’ AlphaFold model can predict the structure and relationships not only of proteins, but “all of life’s molecules”, according to its ...

Protein structure predictions are bioinformatic analyses that produce predicted protein structures automatically using the protein amino acid sequence.

Drug discovery set to be 'revolutionised' as ETH Zurich designs new AI algorithm, tested with colleagues at Roche, for new active pharmaceutical ingredients.