Researchers cobbled together funding and time to show how quantum computing could aid in the development of drugs to help ...

To develop new and better peptides, the short amino acid strings behind medicines like GLP-1 drugs, researchers have used AI ...

As AI rapidly becomes embedded in drug discovery, perhaps the most important question isn't how powerful the next model will ...

Virtual cell models that enable the prediction of cell behavior across scales and biological contexts are rapidly emerging at the forefront of drug discovery. Tom Sercu, PhD, vice president of AI and ...

New platform gives researchers access to the quantity and quality of antibody-antigen affinity and structural data required for next-generation protein engineering models. Atlas by the Numbers Atlas ...

Structural biology has long been a leader in open data culture; the Protein Data Bank (PDB), Electron Microscopy Data Bank (EMDB), and Biological Magnetic ...

Clear protein powder is typically made from whey protein isolate, a highly filtered form of whey. It produces a clearer, lighter consistency than regular protein powder and is generally lower in ...

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to optimize a protein function, researchers modify proteins by switching out one of ...

pocket_binding_prediction/ ├── data/ │ ├── *.pdb # input protein structures │ ├── fastas/ # generated FASTA sequences │ ├── pssms/ # generated conservation scores │ ├── pdb_parser.py # PDB loading and ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.