Auto-DRRAFTER: Automated RNA Modeling Based on Cryo-EM Density

Methods Mol Biol. 2023:2568:193-211. doi: 10.1007/978-1-0716-2687-0_13.

Abstract

RNA three-dimensional structures provide rich and vital information for understanding their functions. Recent advances in cryogenic electron microscopy (cryo-EM) allow structure determination of RNAs and ribonucleoprotein (RNP) complexes. However, limited global and local resolutions of RNA cryo-EM maps pose great challenges in tracing RNA coordinates. The Rosetta-based "auto-DRRAFTER" method builds RNA models into moderate-resolution RNA cryo-EM density as part of the Ribosolve pipeline. Here, we describe a step-by-step protocol for auto-DRRAFTER using a glycine riboswitch from Fusobacterium nucleatum as an example. Successful implementation of this protocol allows automated RNA modeling into RNA cryo-EM density, accelerating our understanding of RNA structure-function relationships. Input and output files are being made available at https://github.com/auto-DRRAFTER/springer-chapter .

Keywords: Auto-DRRAFTER; Cryo-EM; RNA structure; Rosetta computational modeling.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cryoelectron Microscopy / methods
  • Glycine
  • Models, Molecular
  • Protein Conformation
  • RNA*
  • Ribonucleoproteins
  • Riboswitch*

Substances

  • Ribonucleoproteins
  • Riboswitch
  • RNA
  • Glycine