Key result
RNA-MoIP web service predicts RNA hybrid 2D-3D structures from sequences and generates MC-Sym modeling scripts.
Why the study?
Applications of knowledge about recurrent local 3D RNA motifs for predictive purposes are still in their infancy.
The RNA-MoIP web server provides a tool for predicting RNA secondary structure and local 3D motifs from sequence data.
Provides accessible RNA hybrid modeling; leaves open accuracy and utility pending experimental validation across RNA classes.
RNA structures are hierarchically organized. The secondary structure is articulated around sophisticated local three-dimensional (3D) motifs shaping the full 3D architecture of the molecule. Recent contributions have identified and organized recurrent local 3D motifs, but applications of this knowledge for predictive purposes is still in its infancy. We recently developed a computational framework, named RNA-MoIP, to reconcile RNA secondary structure and local 3D motif information available in databases. In this paper, we introduce a web service using our software for predicting RNA hybrid 2D-3D structures from sequence data only. Optionally, it can be used for (i) local 3D motif prediction or (ii) the refinement of user-defined secondary structures. Importantly, our web server automatically generates a script for the MC-Sym software, which can be immediately used to quickly predict all-atom RNA 3D models. The web server is available at http://rnamoip.cs.mcgill.ca.
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Yao et al. (2017) studied this question. RNA-MoIP web service was evaluated. The RNA-MoIP web service predicts RNA hybrid 2D-3D structures from sequence data and generates scripts for MC-Sym software to predict all-atom RNA 3D models.
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