De novo computational RNA modeling into cryo-EM maps of large ribonucleoprotein complexes. (November 2018)

• Record Type: Journal Article
• Authors: Kappel, Kalli; Liu, Shiheng; Larsen, Kevin; Skiniotis, Georgios; Puglisi, Elisabetta; Puglisi, Joseph; Zhou, Z.; Zhao, Rui; Das, Rhiju
• Is Part Of: Nature methods. Volume 15:Number 11(2018)
• Page Start: 947
• Page End: 954
• Publication Date: 2018-11
• Subjects: Life sciences -- Methodology -- Periodicals; Life sciences -- Research -- Periodicals; Biology -- Methodology -- Periodicals; Biology -- Research -- Periodicals; 570.72
• DOI: 10.1038/s41592-018-0172-2
• Languages: English
• ISSNs: 1548-7091

Abstract

Abstract Increasingly, cryo-electron microscopy (cryo-EM) is used to determine the structures of RNA–protein assemblies, but nearly all maps determined with this method have biologically important regions where the local resolution does not permit RNA coordinate tracing. To address these omissions, we present de novo ribonucleoprotein modeling in real space through assembly of fragments together with experimental density in Rosetta (DRRAFTER). We show that DRRAFTER recovers near-native models for a diverse benchmark set of RNA–protein complexes including the spliceosome, mitochondrial ribosome, and CRISPR–Cas9–sgRNA complexes; rigorous blind tests include yeast U1 snRNP and spliceosomal P complex maps. Additionally, to aid in model interpretation, we present a method for reliable in situ estimation of DRRAFTER model accuracy. Finally, we apply DRRAFTER to recently determined maps of telomerase, the HIV-1 reverse transcriptase initiation complex, and the packaged MS2 genome, demonstrating the acceleration of accurate model building in challenging cases. DRRAFTER, a method for RNA modeling into cryo-EM maps, generates accurate models for diverse RNA–protein complexes.