Bayesian Weighing of Electron Cryo-Microscopy Data for Integrative Structural Modeling.

ABSTRACT: Cryo-electron microscopy (cryo-EM) has become a mainstream technique for determining the structures of complex biological systems. However, accurate integrative structural modeling has been hampered by the challenges in objectively weighing cryo-EM data against other sources of information due to the presence of random and systematic errors, as well as correlations, in the data. To address these challenges, we introduce a Bayesian scoring function that efficiently and accurately ranks alternative structural models of a macromolecular system based on their consistency with a cryo-EM density map as well as other experimental and prior information. The accuracy of this approach is benchmarked using complexes of known structure and illustrated in three applications: the structural determinatio

SUBMITTER: Bonomi M 

PROVIDER: S-EPMC6779587 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature