Gentle and fast all-atom model refinement to cryo-EM densities via a maximum likelihood approach.

ABSTRACT: Better detectors and automated data collection have generated a flood of high-resolution cryo-EM maps, which in turn has renewed interest in improving methods for determining structure models corresponding to these maps. However, automatically fitting atoms to densities becomes difficult as their resolution increases and the refinement potential has a vast number of local minima. In practice, the problem becomes even more complex when one also wants to achieve a balance between a good fit of atom positions to the map, while also establishing good stereochemistry or allowing protein secondary structure to change during fitting. Here, we present a solution to this challenge using a maximum likelihood approach by formulating the problem as identifying the structure most likely to have produce

SUBMITTER: Blau C 

PROVIDER: S-EPMC10427019 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature