Secondary structures of nucleic acids are a particularly interesting class of contact structures. Many important RNA molecules contain pseudoknots, which are excluded explicitly by the definition of secondary structures. We propose here a generalization of secondary structures that incorporates "non-nested" pseudoknots. We also introduce a measure for the complexity of more general contact structures in terms of the chromatic number of their intersection graph. We show that RNA structures without nested pseudoknots form a special class of planar graphs. Upper bounds on their number are derived, showing that there are fewer different structures than sequences. 1. Introduction Presumably the most important problem and the greatest ...
We introduce a formal language for representing RNA secondary structures as interactions of loops to...
AbstractAn RNA secondary structure is considered to be planar if its arc graph can be embedded into ...
Motivation: Several dynamic programming algorithms for predicting RNA structures with pseudoknots ha...
Background: The analysis of sequence-structure relations of RNA is based on a specific notion and fo...
Current RNA secondary structure prediction approaches predict prevalent pseudoknots such as the H-ps...
Current RNA secondary structure prediction approaches predict prevalent pseudoknots such as the H-ps...
Background: Current RNA secondary structure prediction approaches predict prevalent pseudoknots such...
9 pages, 6 figuresWe propose a new topological characterization of RNA secondary structures with pse...
9 pages, 6 figuresWe propose a new topological characterization of RNA secondary structures with pse...
9 pages, 6 figuresWe propose a new topological characterization of RNA secondary structures with pse...
The pseudoknot is a specific motif of the RNA structure that highly influences the overall shape and...
Random graph theory is used to model relationships between sequences and secondary structures of RNA...
The secondary structure of an RNA molecule is known to be critical in its biological function. Howev...
Secondary structures of polynucleotides can be view as a certain class of planar vertex-labeled grap...
Motivation: Several dynamic programming algorithms for predicting RNA structures with pseudoknots ha...
We introduce a formal language for representing RNA secondary structures as interactions of loops to...
AbstractAn RNA secondary structure is considered to be planar if its arc graph can be embedded into ...
Motivation: Several dynamic programming algorithms for predicting RNA structures with pseudoknots ha...
Background: The analysis of sequence-structure relations of RNA is based on a specific notion and fo...
Current RNA secondary structure prediction approaches predict prevalent pseudoknots such as the H-ps...
Current RNA secondary structure prediction approaches predict prevalent pseudoknots such as the H-ps...
Background: Current RNA secondary structure prediction approaches predict prevalent pseudoknots such...
9 pages, 6 figuresWe propose a new topological characterization of RNA secondary structures with pse...
9 pages, 6 figuresWe propose a new topological characterization of RNA secondary structures with pse...
9 pages, 6 figuresWe propose a new topological characterization of RNA secondary structures with pse...
The pseudoknot is a specific motif of the RNA structure that highly influences the overall shape and...
Random graph theory is used to model relationships between sequences and secondary structures of RNA...
The secondary structure of an RNA molecule is known to be critical in its biological function. Howev...
Secondary structures of polynucleotides can be view as a certain class of planar vertex-labeled grap...
Motivation: Several dynamic programming algorithms for predicting RNA structures with pseudoknots ha...
We introduce a formal language for representing RNA secondary structures as interactions of loops to...
AbstractAn RNA secondary structure is considered to be planar if its arc graph can be embedded into ...
Motivation: Several dynamic programming algorithms for predicting RNA structures with pseudoknots ha...