Predicting RNA Scaffolds with a Hybrid Method of Vfold3D and VfoldLA

Methods Mol Biol. 2021:2323:1-11. doi: 10.1007/978-1-0716-1499-0_1.

Abstract

The ever-increasing discoveries of noncoding RNA functions draw a strong demand for RNA structure determination from the sequence. In recently years, computational studies for RNA structures, at both the two-dimensional and the three-dimensional levels, led to several highly promising new developments. In this chapter, we describe a hybrid method, which combines the motif template-based Vfold3D model and the loop template-based VfoldLA model, to predict RNA 3D structures. The main emphasis is placed on the definition of motifs and loops, the treatment of no-template motifs, and the 3D structure assembly from templates of motifs and loops. For illustration, we use the ZIKV xrRNA1 as an example to show the template-based prediction of RNA 3D structures from the 2D structure. The web server for the hybrid model is freely accessible at http://rna.physics.missouri.edu/vfold3D2 .

Keywords: Secondary structural motifs; Single-stranded loops; Structure prediction; Template-assembly.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms
  • Computational Biology / methods*
  • Humans
  • Models, Molecular
  • Nucleic Acid Conformation*
  • RNA, Viral / chemistry*
  • Software
  • Zika Virus / genetics*
  • Zika Virus / isolation & purification
  • Zika Virus / pathogenicity
  • Zika Virus Infection / pathology
  • Zika Virus Infection / virology*

Substances

  • RNA, Viral