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De novo computational RNA modeling into cryo-EM maps of large ribonucleoprotein complexes.
Kappel, Kalli; Liu, Shiheng; Larsen, Kevin P; Skiniotis, Georgios; Puglisi, Elisabetta Viani; Puglisi, Joseph D; Zhou, Z Hong; Zhao, Rui; Das, Rhiju.
Affiliation
  • Kappel K; Biophysics Program, Stanford University, Stanford, CA, USA.
  • Liu S; Electron Imaging Center for Nanomachines, California NanoSystems Institute, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.
  • Larsen KP; Department of Microbiology, Immunology, and Molecular Genetics, UCLA, Los Angeles, CA, USA.
  • Skiniotis G; Biophysics Program, Stanford University, Stanford, CA, USA.
  • Puglisi EV; Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA.
  • Puglisi JD; Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA.
  • Zhou ZH; Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Zhao R; Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA.
  • Das R; Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA.
Nat Methods ; 15(11): 947-954, 2018 11.
Article in En | MEDLINE | ID: mdl-30377372
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ribonucleoproteins / Software / RNA / Models, Molecular / Computational Biology / Cryoelectron Microscopy Limits: Humans Language: En Journal: Nat Methods Journal subject: TECNICAS E PROCEDIMENTOS DE LABORATORIO Year: 2018 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ribonucleoproteins / Software / RNA / Models, Molecular / Computational Biology / Cryoelectron Microscopy Limits: Humans Language: En Journal: Nat Methods Journal subject: TECNICAS E PROCEDIMENTOS DE LABORATORIO Year: 2018 Document type: Article Affiliation country: