4 Soon thereafter Hassabis turned his attention to the protein-folding problem. The CASP competitions saw incremental progress over the years with scientists testing different computational models, ...

CASP considers three categories of structure prediction: (i) comparative modeling using a known template structure; (ii) fold recognition using a library of known protein folds; and (iii ...

When Google DeepMind’s AlphaFold was recognized by CASP organizers as a solution to the 50-year-old protein-folding problem, it represented a watershed moment for computational and AI methods ...

In 1994, researchers began a competition, Critical Assessment of Protein Structure Prediction (CASP), where scientists would be asked to predict structures of newly discovered proteins from given ...

He used short segments from the PDB to predict protein structures. Using this model, Rosetta, Baker and his team made several iterations that consistently improved the program’s performances in early ...

In the first year of the CASP-NMR experiment ... structure assignment tools with ten experimental data sets for various protein systems of known structure and two sets for protein structures ...