Unknown

Dataset Information

Predicting RNA Scaffolds with a Hybrid Method of Vfold3D and VfoldLA.


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 f

SUBMITTER: Xu X 

PROVIDER: S-EPMC9728534 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature