Abstract
Modeling the three-dimensional structure of RNAs is a milestone toward better understanding and prediction of nucleic acids molecular functions. Physics-based approaches and molecular dynamics simulations are not tractable on large molecules with all-atom models. To address this issue, coarse-grained models of RNA three-dimensional structures have been developed. In this chapter, we describe a graphical modeling based on the Leontis-Westhof extended base-pair classification. This representation of RNA structures enables us to identify highly conserved structural motifs with complex nucleotide interactions in structure databases. Further, we show how to take advantage of this knowledge to quickly and simply predict three-dimensional structures of large RNA molecules.
Original language | English |
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Pages (from-to) | 101-121 |
Number of pages | 21 |
Journal | Methods in Molecular Biology |
Volume | 1269 |
DOIs | |
State | Published - 1 Jan 2015 |
Keywords
- Base-pair classification
- Extended secondary structure
- Modeling
- Prediction
- RNA motifs
- Tertiary structure
ASJC Scopus subject areas
- Molecular Biology
- Genetics