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- Title
Vfold-Pipeline: a web server for RNA 3D structure prediction from sequences.
- Authors
Li, Jun; Zhang, Sicheng; Zhang, Dong; Chen, Shi-Jie
- Abstract
Summary RNA 3D structures are critical for understanding their functions and for RNA-targeted drug design. However, experimental determination of RNA 3D structures is laborious and technically challenging, leading to the huge gap between the number of sequences and the availability of RNA structures. Therefore, the computer-aided structure prediction of RNA 3D structures from sequences becomes a highly desirable solution to this problem. Here, we present a pipeline server for RNA 3D structure prediction from sequences that integrates the Vfold2D, Vfold3D and VfoldLA programs. The Vfold2D program can incorporate the SHAPE experimental data in 2D structure prediction. The pipeline can also automatically extract 2D structural constraints from the Rfam database. Furthermore, with a significantly expanded 3D template database for various motifs, this Vfold-Pipeline server can efficiently return accurate 3D structure predictions or reliable initial 3D structures for further refinement. Availability and implementation http://rna.physics.missouri.edu/vfoldPipeline/index.html. The data underlying this article have been provided in the article and in its online supplementary material. Supplementary information Supplementary data are available at Bioinformatics online.
- Subjects
INTERNET servers; RNA; DRUG design; FORECASTING
- Publication
Bioinformatics, 2022, Vol 38, Issue 16, p4042
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btac426