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

ABSTRACT: With the advent of next-generation modelling methods, such as AlphaFold2, structural biologists are increasingly using predicted structures to obtain structure solutions via molecular replacement (MR) or model fitting in single-particle cryogenic sample electron microscopy (cryoEM). Differences between the domain-domain orientations represented in a predicted model and a crystal structure are often a key limitation when using predicted models. Slice'N'Dice is a software package designed to address this issue by first slicing models into distinct structural units and then automatically placing the slices using either Phaser, MOLREP or PowerFit. The slicing step can use the AlphaFold predicted aligned error (PAE) or can operate via a variety of C^α-atom-based clustering algorithms,

SUBMITTER: Simpkin AJ 

PROVIDER: S-EPMC11883665 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature