Journal
NUCLEIC ACIDS RESEARCH
Volume 45, Issue W1, Pages W440-W444Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkx429
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Funding
- Natural Sciences and Engineering Research Council of Canada (NSERC) [RGPIN 2015-03786, RGPAS 477873-15, 170165-01]
- Canadian Institutes of Health Research (CHIR) [CIHR BOP-149429]
- Genome Canada [B/CB 2015]
- Natural Sciences and Engineering Research Council of Canada USRA
- Fonds de recherche du Quebec Nature et technologies BRPC
- Azrieli fellowship
- Fonds de recherche du Quebec Nature et technologies postdoctoral fellowship
- Canadian Institutes of Health Research (CIHR) [MT-14604]
- National Institutes of Health (NIH) [R01GM088813]
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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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