MassiveFold – The Tool to Unlock the Full Potential of AlphaFold
Structural biology has reached a new milestone with AlphaFold, the protein structure prediction tool developed by DeepMind, for which Demis Hassabis and John Jumper were awarded the Nobel Prize in Chemistry in 2024. Originally designed for predicting individual protein structures, AlphaFold was later extended to model protein assemblies, though these predictions require extensive sampling, previously limited by high computation and storage costs. MassiveFold, an optimized version of AlphaFold, overcomes these barriers by enabling advanced sampling capabilities. Developed with support from the IFB and in collaboration with various computing centers, MassiveFold opens new horizons for protein structure modeling. For more information, refer to the article published in Nature Computational Science.
