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

Authors :
Haiyun, Ma
Phillip, Pham
Bingnan, Luo
Ramya, Rangan
Kalli, Kappel
Zhaoming, Su
Rhiju, Das
Source :
Methods in molecular biology (Clifton, N.J.). 2568
Publication Year :
2022

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 .

Details

ISSN :
19406029
Volume :
2568
Database :
OpenAIRE
Journal :
Methods in molecular biology (Clifton, N.J.)
Accession number :
edsair.pmid..........a54ce35f45f90fad257f6e5c8dc51813