Bayesian Modeling of Biomolecular Assemblies with Cryo-EM Maps.

ABSTRACT: A growing array of experimental techniques allows us to characterize the three-dimensional structure of large biological assemblies at increasingly higher resolution. In addition to X-ray crystallography and nuclear magnetic resonance in solution, new structure determination methods such cryo-electron microscopy (cryo-EM), crosslinking/mass spectrometry and solid-state NMR have emerged. Often it is not sufficient to use a single experimental method, but complementary data need to be collected by using multiple techniques. The integration of all datasets can only be achieved by computational means. This article describes Inferential structure determination, a Bayesian approach to integrative modeling of biomolecular complexes with hybrid structural data. I will introduce probabilistic model

SUBMITTER: Habeck M 

PROVIDER: S-EPMC5360716 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature