An Algorithmic Game-Theory Approach for Coarse-Grain Prediction of RNA 3D Structure
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
GPU-based acceleration of an RNA tertiary structure prediction algorithm
Computers in Biology and Medicine
| Hi-index | 3.84 |
Summary: Three-dimensional RNA structure prediction and folding is of significant interest in the biological research community. Here, we present iFoldRNA, a novel web-based methodology for RNA structure prediction with near atomic resolution accuracy and analysis of RNA folding thermodynamics. iFoldRNA rapidly explores RNA conformations using discrete molecular dynamics simulations of input RNA sequences. Starting from simplified linear-chain conformations, RNA molecules ( Availability: http://iFoldRNA.dokhlab.org. Contact: dokh@med.unc.edu Supplementary information:Supplementary data are available at Bioinformatics online.