Slice'N'Dice: Maximising the value of predicted models for structural biologists

With the advent of next generation modelling methods, such as AlphaFold2, structural biologists are increasingly using predicted structures as search models for Molecular Replacement (MR) when experimental structures of homologues are unavailable. Inaccuracy in domain-domain orientations is often a key limitation when using predicted models for MR. SliceNDice is a software package designed to address this issue by first slicing models into distinct structural units and then automatically placing the slices using Phaser. The slicing step can use AlphaFold2s predicted aligned error (PAE), or can operate via a variety of C atom clustering algorithms, extending applicability to structures of any origin. The number of splits can be selected by the user. SliceNDice is available in CCP4 8.0 and is currently being adapted for cryo-EM use cases.