Roodmus: a toolkit for benchmarking heterogeneous electron cryo-microscopy reconstructions.

ABSTRACT: Conformational heterogeneity of biological macromolecules is a challenge in single-particle averaging (SPA). Current standard practice is to employ classification and filtering methods that may allow a discrete number of conformational states to be reconstructed. However, the conformation space accessible to these molecules is continuous and, therefore, explored incompletely by a small number of discrete classes. Recently developed heterogeneous reconstruction algorithms (HRAs) to analyse continuous heterogeneity rely on machine-learning methods that employ low-dimensional latent space representations. The non-linear nature of many of these methods poses a challenge to their validation and interpretation and to identifying functionally relevant conformational trajectories. These methods wo

SUBMITTER: Joosten M 

PROVIDER: S-EPMC11533995 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature