VfoldLA: A web server for loop assembly-based prediction of putative 3D RNA structures.

Area of Science:

• Structural Biology
• Computational Biology
• Bioinformatics

Background:

• Three-dimensional (3D) RNA structures are essential for cellular functions.
• Predicting complex RNA structures is a significant challenge, limiting the understanding of RNA structure-function relationships.

Purpose of the Study:

• To introduce the VfoldLA web server for predicting RNA 3D structures.
• To provide a user-friendly, automated platform for RNA structure prediction.

Main Methods:

• The VfoldLA server utilizes a novel VfoldLA model that classifies single-stranded loops into four types.
• RNA 3D structures are assembled from loop/junction templates based on loop-helix connections.
• The server accepts nucleotide sequences and base-pair information (2D structure) as input.

Main Results:

• The VfoldLA web server offers a fully automated prediction of putative 3D RNA structures.
• Users can input single-RNA or RNA-RNA complex sequences and 2D structures.
• Outputs include JSmol visualization and downloadable Protein Data Bank (PDB) files.

Conclusions:

• The VfoldLA server provides a valuable tool for predicting RNA 3D structures.
• The generated structures can serve as scaffolds for further structure refinement.
• This facilitates research into RNA structure-function relationships.