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Sampling globally and locally correct RNA 3D structures using ERNWIN, SPQR and experimental SAXS data

Authors :
Bernhard C. Thiel
Giovanni Bussi
Simón Poblete
Ivo L. Hofacker
Publication Year :
2022
Publisher :
Cold Spring Harbor Laboratory, 2022.

Abstract

The determination of the three-dimensional structure of large RNA macromolecules in solution is a challenging task that often requires the use of several experimental and computational techniques. Small-angle X-ray spectroscopy can provide insight into some geometrical properties of the probed molecule, but this data must be properly interpreted in order to generate a three-dimensional model. Here, we propose a multiscale pipeline which introduces SAXS data into modelling the global shape of RNA in solution, which can be hierarchically refined until reaching atomistic precision in explicit solvent. The low-resolution helix model (ERNWIN) deals with the exploration of the huge conformational space making use of the SAXS data, while a nucleotide-level model (SPQR) removes clashes and disentangles the proposed structures, leading the structure to an all-atom representation in explicit solvent. We apply the procedure on five different structures up to 126 nucleotides with promising results.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........054188baa2b391547944cb34333109f0
Full Text :
https://doi.org/10.1101/2022.07.02.498583